Potential of Piezoelectric Actuation and Sensing in High Reliability Precision Mechanisms and Their Applications in Medical Therapeutics
Abstract
1. Introduction
2. Piezoelectric Actuators
2.1. Different Categories of Piezoelectric Actuators
2.2. TW Piezoelectric Robotic Structures
2.2.1. TW Piezoelectric Beam Robots
2.2.2. TW of Piezoelectric Patches Bonded on Thin Structures
2.3. Displacement and Positioning
3. Piezoelectric Sensors
3.1. Force Detecting
3.2. Structural Integrity Supervising
3.3. Movement and Position Detection
4. Examples of Medical Applications of Piezoelectric Actuators and Sensors
4.1. Robotic Actuation for Medical Involvements
4.1.1. Robotic Medical Interventions
4.1.2. Interventional Robotic Actuation
4.1.3. MRI-Assisted Robotic Actuation
4.2. Structural Sensing and Monitoring of Healthcare Wearable Tools
5. Discussion
5.1. Advantages and Limitations of Piezoelectric Sensors and Actuators
5.2. Piezoelectric Microrobots and Bio-Inspired Concepts
5.3. Piezoelectric Multifunctional Deeds and Flexible Wearable Tools
5.3.1. Wearable Tools and Flexibility
5.3.2. PFM Main Categories
5.4. Endurance of Piezoelectric Medical Devices to EM Interference
5.5. Digital Monitoring of MRI-Assisted Robotic Interventions
5.5.1. Closed-Loop Controlled MRI-Assisted Autonomous Scenery
5.5.2. Digital Twin Administration of MRI-Assisted Interventions
5.5.3. Digital Augmented DT in MRI-Assisted Interventions
5.6. Matching of Performance Indicators with Application Scenarios
5.7. Future Research Perspectives on Piezoelectric Implications in the Medical Field
5.7.1. Wearable and Implantable Medical Tools
5.7.2. Biocompatibility, Biodegradability, Non-Toxicity, and Piezoelectric Biomaterials
5.7.3. Dependable Self-Moving Miniature Robots
5.7.4. MRI Compatibility in Image-Guided Robotic Interventions
5.7.5. Summarized Illustration of Future Research Perspectives
6. Conclusions
- Wearable and implantable medical tools;
- Biocompatibility, biodegradability, non-toxicity, and piezoelectric biomaterials;
- Dependable self-moving miniature robots;
- MRI compatibility in image-guided robotic interventions.
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Li, J.; Deng, J.; Zhang, S.; Chen, W.; Zhao, J.; Liu, Y. Developments and challenges of miniature piezoelectric robots: A review. Adv. Sci. 2023, 10, 2305128. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yuan, Z.; Zhou, S.; Hong, C.; Xiao, Z.; Zhang, Z.; Chen, X.; Zeng, L.; Wu, J.; Wang, Y.; Li, X. Piezo-actuated smart mechatronic systems for extreme scenarios. Int. J. Extrem. Manuf. 2025, 7, 022003. [Google Scholar] [CrossRef] [Scilit]
- Brahim, M. Modeling and Position Control of Piezoelectric Motors. Ph.D. Thesis, University of Paris XI, Gif-sur-Yvette, France, 2017. Available online: https://theses.hal.science/tel-01689921v1/file/72356_BRAHIM_2017_diffusion.pdf (accessed on 1 October 2025). (In English)
- Hernandez, C. Realization of Piezoelectric Micro Pumps. Ph.D. Thesis, University of Paris XI, Gif-sur-Yvette, France, 2010. (In French) [Google Scholar]
- Hariri, H. Design and Realization of a Piezoelectric Mobile for Cooperative Use. Ph.D. Thesis, University of Paris XI, Gif-sur-Yvette, France, 2012. Available online: https://theses.hal.science/tel-01124059v1/file/2012PA112321.pdf (accessed on 1 October 2025). (In English)
- Zhou, X.; Wu, S.; Wang, X.; Wang, Z.; Zhu, Q.; Sun, J.; Huang, P.; Wang, X.; Huang, W.; Lu, Q. Review on piezoelectric actuators: Materials, classifications, applications, and recent trends. Front. Mech. Eng. 2024, 19, 6. [Google Scholar] [CrossRef] [Scilit]
- Maqbool, S.A.; Touqeer, M.; Esmaeilzadeh, B.; Yang, S.; Meng, W.; Wang, J.; Feng, Q.; Hou, Y.; Lu, Q. A compact multi-degree-of-freedom piezoelectric motor with large travel capability. Rev. Sci. Instrum. 2025, 96, 043702. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wang, S.; Rong, W.; Wang, L.; Xie, H.; Sun, L.; Mills, J.K. A survey of piezoelectric actuators with long working stroke in recent years: Classifications, principles, connections and distinctions. Mech. Syst. Signal Process. 2019, 123, 591–605. [Google Scholar] [CrossRef] [Scilit]
- Wei, W.; Ding, Z.; Wu, J.; Wang, L.; Yang, C.; Rong, X.; Song, R.; Li, Y. A miniature piezoelectric actuator with fast movement and nanometer resolution. Int. J. Mech. Sci. 2024, 273, 109249. [Google Scholar] [CrossRef] [Scilit]
- Ling, M.; Zhang, C.; Chen, L. Optimized design of a compact multi-stage displacement amplification mechanism with enhanced efficiency. Precis. Eng. 2022, 77, 77–89. [Google Scholar] [CrossRef] [Scilit]
- Ma, S.K.; Yang, Y.L.; Cui, Y.G.; Wu, G.H.; Wei, Y.D. A purely centered and non-redundant piezoelectric stick-slip rotary stage with force amplification. Mech. Syst. Signal Process. 2024, 220, 111689. [Google Scholar] [CrossRef] [Scilit]
- Zhong, B.W.; Liao, Z.; Hu, H.Z.; Liu, S.L.; He, C.G.; Sun, L.N. A review of recent studies on piezoelectric stick-slip actuators. Precis. Eng. 2025, 94, 175–190. [Google Scholar] [CrossRef] [Scilit]
- He, L.; Liu, X.; Huang, Z.; Liu, F.; Tian, H.; Dong, Y.; Ge, X. Inertial impact rotary piezoelectric motor with non-reversing properties and a clamping mechanism. Smart Mater. Struct. 2025, 34, 055028. [Google Scholar] [CrossRef] [Scilit]
- Wang, X.; An, D.; Qin, Z.; Wang, C.; Liu, Y.; Yang, Y. Nonlinearity Characterization of Flexible Hinge Piezoelectric Stages Under Dynamic Preload via a Force-Dependent Prandtl–Ishlinskii Model with a Force-Analyzed Finite Element Method. Actuators 2025, 14, 411. [Google Scholar] [CrossRef] [Scilit]
- Zhi, C.; Shi, S.; Wu, H.; Si, Y.; Zhang, S.; Lei, L.; Hu, J. Emerging Trends of Nanofibrous Piezoelectric and Triboelectric Applications: Mechanisms, Electroactive Materials, and Designed Architectures. Adv. Mater. 2024, 36, e2401264. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhi, C.; Shi, S.; Si, Y.; Fei, B.; Huang, H.; Hu, J. Recent Progress of Wearable Piezoelectric Pressure Sensors Based on Nanofibers, Yarns, and Their Fabrics via Electrospinning. Adv. Mater. Technol. 2023, 8, 2201161. [Google Scholar] [CrossRef] [Scilit]
- Razek, A. Image-Guided Surgical and Pharmacotherapeutic Routines as Part of Diligent Medical Treatment. Appl. Sci. 2023, 13, 13039. [Google Scholar] [CrossRef] [Scilit]
- Razek, A. From Open, Laparoscopic, or Computerized Surgical Interventions to the Prospects of Image-Guided Involvement. Appl. Sci. 2025, 15, 4826. [Google Scholar] [CrossRef] [Scilit]
- Mangi, M.A.; Elahi, H.; Ali, A.; Jabbar, H.; Bin Aqeel, A.; Farrukh, A.; Bibi, S.; Altabey, W.A.; Kouritem, S.A.; Noori, M. Applications of piezoelectric-based sensors, actuators, and energy harvesters. Sens. Actuators Rep. 2025, 9, 100302. [Google Scholar] [CrossRef] [Scilit]
- White, A.; Little, I.; Artyuk, A.; McKibben, N.; Kouchi, F.R.; Chen, C.; Estrada, D.; Deng, Z. On-demand fabrication of piezoelectric sensors for in-space structural health monitoring. Smart Mater Struct. 2024, 33, 055053. [Google Scholar] [CrossRef] [Scilit]
- Liang, S.; Wang, S.; Haoyu, G.; Zhang, Y.; Shao, S.; Xu, M. A micro-piezoelectric inertial robot with an ultra-high load-to-weight ratio: Design and experimental evaluation. Smart Mater. Struct. 2025, 34, 075017. [Google Scholar] [CrossRef] [Scilit]
- Guo, Z.-R.; Tan, H.-S.; Chang, C.-S.; Hwang, I.-S.; Hwu, E.-T.; Liao, H.-S. The Design of a Closed-Loop Piezoelectric Friction–Inertia XY Positioning Platform with a Centimeter Travel Range. Actuators 2025, 14, 265. [Google Scholar] [CrossRef] [Scilit]
- Gao, C.D.; Zeng, Z.H.; Peng, S.P.; Shuai, C.J. Magnetostrictive alloys: Promising materials for biomedical applications. Bioact. Mater. 2021, 8, 177–195. [Google Scholar] [CrossRef] [Scilit]
- Kumar, D.; Daudpoto, J.; Chowdhry, B.S. Challenges for practical applications of shape memory alloy actuators. Mater. Res. Express 2020, 7, 073001. [Google Scholar] [CrossRef] [Scilit]
- Berhil, A.; Barati, M.; Bernard, Y.; Daniel, L. Accurate sensorless displacement control based on the electrical resistance of the shape memory actuator. J. Intell. Mater. Syst. Struct. 2023, 34, 1097–1103. [Google Scholar] [CrossRef] [Scilit]
- Kanchan, M.; Santhya, M.; Bhat, R.; Naik, N. Application of Modeling and Control Approaches of Piezoelectric Actuators: A Review. Technologies 2023, 11, 155. [Google Scholar] [CrossRef] [Scilit]
- Tian, X.; Liu, Y.; Deng, J.; Wang, L.; Chen, W. A review on piezoelectric ultrasonic motors for the past decade: Classification, operating principle, performance, and future work perspectives. Sens. Actuators A Phys. 2020, 306, 111971. [Google Scholar] [CrossRef] [Scilit]
- Ding, Z.; Cui, M.; Wu, J.; Wei, W.; Rong, X.; Li, Y. Development of an Untethered Self-Moving Piezoelectric Actuator with Load-Carriable, Fast, and Precise Movement Driven by Piezoelectric Stack Plates. IEEE Trans. Ind. Electron. 2025, 99, 11635–11646. [Google Scholar] [CrossRef] [Scilit]
- Hariri, H.; Bernard, Y.; Razek, A. 2-D Traveling Wave Driven Piezoelectric Plate Robot for Planar Motion. IEEE/ASME Trans. Mechatron. 2018, 23, 242–251. [Google Scholar] [CrossRef] [Scilit]
- Yang, Z.; Dong, L.; Wang, M.; Liu, G.; Li, X.; Li, Y. A wearable insulin delivery system based on a piezoelectric micropump. Sens. Actuators A Phys. 2022, 347, 113909. [Google Scholar] [CrossRef] [Scilit]
- Hernandez, C.; Bernard, Y.; Razek, A. Design and manufacturing of a piezoelectric traveling-wave pumping device. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2013, 60, 1949–1956. [Google Scholar] [CrossRef] [Scilit]
- Spanner, K.; Koc, B. Piezoelectric Motors, an Overview. Actuators 2016, 5, 6. [Google Scholar] [CrossRef] [Scilit]
- Ghenna, S.; Bernard, Y.; Daniel, L. Design and experimental analysis of a high force piezoelectric linear motor. Mechatronics 2023, 89, 102928. [Google Scholar] [CrossRef] [Scilit]
- Suárez-Pérez, L.; Peralta-Mamani, M.; Velázquez-Cayón, R.T. A comparison of piezoelectric surgery and conventional techniques in the enucleation of cysts and tumors in the jaws: A systematic review and meta-analysis. Med. Oral Patol. Oral Cir. Bucal 2025, 30, e333–e344. [Google Scholar] [CrossRef] [Scilit]
- Zubair, M.; Uddin, I.; Dickinson, R.; Diederich, C.J. Delivering Volumetric Hyperthermia to Head and Neck Cancer Patient-Specific Models Using an Ultrasound Spherical Random Phased Array Transducer. Bioengineering 2025, 12, 14. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hariri, H.; Bernard, Y.; Razek, A. A traveling wave piezoelectric beam robot. Smart Mater. Struct. 2014, 23, 025013. [Google Scholar] [CrossRef] [Scilit]
- Cui, M.; Liu, H.; Jiang, H.; Zheng, Y.; Wang, X.; Liu, W. Active vibration optimal control of piezoelectric cantilever beam with uncertainties. Meas. Control 2022, 55, 359–369. [Google Scholar] [CrossRef] [Scilit]
- Roy, G.; Panigrahi, B.; Pohit, G. Crack identification in beam-type structural elements using a piezoelectric sensor. Nondestruct. Test. Eval. 2020, 36, 597–615. [Google Scholar] [CrossRef] [Scilit]
- Li, C.; Lu, C. Investigation of a flat-type piezoelectric motor using in-plane vibrations. Rev. Sci. Instrum. 2025, 96, 015003. [Google Scholar] [CrossRef] [Scilit]
- Čeponis, A.; Mažeika, D.; Vasiljev, P. Flat Cross-Shaped Piezoelectric Rotary Motor. Appl. Sci. 2020, 10, 5022. [Google Scholar] [CrossRef] [Scilit]
- Gao, T.; Qiu, X.; Xu, P.; Hu, Z.; Yan, J.; Xiang, Y.; Xuan, F.Z. Piezoelectret-based dual-mode flexible pressure sensor for accurate wrist pulse signal acquisition in health monitoring. Measurement 2025, 242, 116283. [Google Scholar] [CrossRef] [Scilit]
- Xie, Q.; Han, L.; Liu, J.; Zhang, W.; Zhao, L.; Liu, Y.; Chen, Y.; Li, Y.; Zhou, Q.; Dong, Y.; et al. Kirigami-Inspired Stretchable Piezoelectret Sensor for Analysis and Assessment of Parkinson’s Tremor. Adv. Healthc. Mater. 2025, 14, 2402010. [Google Scholar] [CrossRef] [Scilit]
- Hao, Y.; Zhang, H.; Zhang, Z.; Hu, C.; Shi, C. Development of Force Sensing Techniques for Robot-Assisted Laparoscopic Surgery: A Review. IEEE Trans. Med. Robot. Bionics 2024, 6, 868–887. [Google Scholar] [CrossRef] [Scilit]
- Wang, W.; Wang, J.; Luo, Y.; Wang, X.; Song, H. A Survey on Force Sensing Techniques in Robot-Assisted Minimally Invasive Surgery. IEEE Trans. Haptics 2023, 16, 702–718. [Google Scholar] [CrossRef] [Scilit]
- Jiao, P.; Egbe, K.-J.I.; Xie, Y.; Matin Nazar, A.; Alavi, A.H. Piezoelectric Sensing Techniques in Structural Health Monitoring: A State-of-the-Art Review. Sensors 2020, 20, 3730. [Google Scholar] [CrossRef] [Scilit]
- Çakir, F.H.; Er, Ü.; Tekkalmaz, M. Monitoring the wear of turning tools with the electromechanical impedance technique. J. Intell. Mater. Syst. Struct. 2022, 34, 1341–1352. [Google Scholar] [CrossRef] [Scilit]
- Hoshyarmanesh, H.; Abbasi, A. Structural health monitoring of rotary aerospace structures based on electromechanical impedance of integrated piezoelectric transducers. J. Intell. Mater. Syst. Struct. 2018, 29, 1799–1817. [Google Scholar] [CrossRef] [Scilit]
- Elahi, H. The investigation on structural health monitoring of aerospace structures via piezoelectric aeroelastic energy harvesting. Microsyst. Technol. 2021, 27, 2605–2613. [Google Scholar] [CrossRef] [Scilit]
- Wang, Y.; Qiu, L.; Luo, Y.; Ding, R.; Jiang, F. A piezoelectric sensor network with shared signal transmission wires for structural health monitoring of aircraft smart skin. Mech. Syst. Signal Process. 2020, 141, 106730. [Google Scholar] [CrossRef] [Scilit]
- Ahmadi, J.; Feirahi, M.H.; Farahmand-Tabar, S.; Fard, A.H.K. A novel approach for non-destructive EMI-based corrosion monitoring of concrete-embedded reinforcements using multi-orientation piezoelectric sensors. Constr. Build. Mater. 2021, 273, 121689. [Google Scholar] [CrossRef] [Scilit]
- Bani-Hani, M.A.; Almomani, A.M.; Aljanaideh, K.F.; Kouritem, S.A. Mechanical modeling and numerical investigation of earthquake-induced structural vibration self-powered sensing device. IEEE Sens. J. 2022, 22, 19237–19248. [Google Scholar] [CrossRef] [Scilit]
- Yu, Y.; Qin, X.; Hussain, S.; Hou, W.; Weis, T. Pedestrian Counting Based on Piezoelectric Vibration Sensor. Appl. Sci. 2022, 12, 1920. [Google Scholar] [CrossRef] [Scilit]
- Zhang, Y.; Miao, B.; Wang, G.; Zhou, H.; Zhang, S.; Hu, Y.; Wu, J.; Yu, X.; Li, J. ScAlN Film-Based Piezoelectric Micromechanical Ultrasonic Transducers with Dual-Ring Structure for Distance Sensing. Micromachines 2023, 14, 516. [Google Scholar] [CrossRef] [Scilit]
- Zhang, Q.; Wang, Y.; Li, D.; Xie, J.; Tao, K.; Hu, P.; Zhou, J.; Chang, H.; Fu, Y. Multifunctional and Wearable Patches Based on Flexible Piezoelectric Acoustics for Integrated Sensing, Localization, and Underwater Communication. Adv. Funct. Mater. 2023, 33, 2209667. [Google Scholar] [CrossRef] [Scilit]
- Ahmed, O.; Wang, M.; Zhang, B.; Irving, R.; Begg, P.; Du, X. Robotic Systems for Cochlear Implant Surgeries: A Review of Robotic Design and Clinical Outcomes. Electronics 2025, 14, 2685. [Google Scholar] [CrossRef] [Scilit]
- Tetteh, E.; Wang, T.; Kim, J.Y.; Smith, T.; Norasi, H.; Van Straaten, M.G.; Lal, G.; Chrouser, K.L.; Shao, J.M.; Hallbeck, M.S. Optimizing ergonomics during open, laparoscopic, and robotic-assisted surgery: A review of surgical ergonomics literature and development of educational illustrations. Am. J. Surg. 2024, 235, 115551. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Alkatout, I.; Mechler, U.; Mettler, L.; Pape, J.; Maass, N.; Biebl, M.; Gitas, G.; Laganà, A.S.; Freytag, D. The Development of Laparoscopy-A Historical Overview. Front. Surg. 2021, 8, 799442. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Barrios, E.L.; Polcz, V.E.; Hensley, S.E.; Sarosi, G.A., Jr.; Mohr, A.M.; Loftus, T.J.; Upchurch, G.R., Jr.; Sumfest, J.M.; Efron, P.A.; Dunleavy, K.; et al. A narrative review of ergonomic problems, principles, and potential solutions in surgical operations. Surgery 2023, 174, 214–221. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bittner, R. Laparoscopic surgery—15 years after clinical introduction. World J. Surg. 2006, 30, 1190–1203. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bracale, U.; Corcione, F.; Pignata, G.; Andreuccetti, J.; Dolce, P.; Boni, L.; Cassinotti, E.; Olmi, S.; Uccelli, M.; Gualtierotti, M.; et al. Impact of neoadjuvant therapy followed by laparoscopic radical gastrectomy with D2 lymph node dissection in Western population: A multi-institutional propensity score-matched study. J. Surg. Oncol. 2021, 124, 1338–1346. [Google Scholar] [CrossRef] [Scilit]
- Bizzarri, N.; Pedone Anchora, L.; Teodorico, E.; Certelli, C.; Galati, G.; Carbone, V.; Gallotta, V.; Naldini, A.; Costantini, B.; Querleu, D.; et al. The role of diagnostic laparoscopy in locally advanced cervical cancer staging. Eur. J. Surg. Oncol. 2024, 50, 108645. [Google Scholar] [CrossRef] [Scilit]
- Pérez-Salazar, M.J.; Caballero, D.; Sánchez-Margallo, J.A.; Sánchez-Margallo, F.M. Comparative Study of Ergonomics in Conventional and Robotic-Assisted Laparoscopic Surgery. Sensors 2024, 24, 3840. [Google Scholar] [CrossRef] [Scilit]
- Li, S.Y.; Wang, Y.; Xin, C.; Ji, L.Q.; Li, S.H.; Jiang, W.D.; Zhang, C.M.; Zhang, W.; Lou, Z. Laparoscopic surgery is associated with increased risk of postoperative peritoneal metastases in T4 colon cancer: A propensity score analysis. Int. J. Color. Dis. 2025, 40, 2. [Google Scholar] [CrossRef] [Scilit]
- Taghavi, K.; Glenisson, M.; Loiselet, K.; Fiorenza, V.; Cornet, M.; Capito, C.; Vinit, N.; Pire, A.; Sarnacki, S.; Blanc, T. Robot-assisted laparoscopic adrenalectomy: Extended application in children. Eur. J. Surg. Oncol. 2024, 50, 108627. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Williamson, T.; Song, S.E. Robotic Surgery Techniques to Improve Traditional Laparoscopy. J. Soc. Laparosc. Robot. Surg. 2022, 26, e2022.00002. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rivero-Moreno, Y.; Echevarria, S.; Vidal-Valderrama, C.; Pianetti, L.; Cordova-Guilarte, J.; Navarro-Gonzalez, J.; Acevedo-Rodríguez, J.; Dorado-Avila, G.; Osorio-Romero, L.; Chavez-Campos, C.; et al. Robotic Surgery: A Comprehensive Review of the Literature and Current Trends. Cureus 2023, 15, e42370. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lima, V.L.; de Almeida, R.C.; Neto, T.R.; Rosa, A.A.M. Chapter 72—Robotic ophthalmologic surgery. In Handbook of Robotic Surgery; Zequi, S.C., Ren, H., Eds.; Academic Press: Cambridge, MA, USA, 2025; pp. 701–704. [Google Scholar] [CrossRef] [Scilit]
- Rivero-Moreno, Y.; Rodriguez, M.; Losada-Muñoz, P.; Redden, S.; Lopez-Lezama, S.; Vidal-Gallardo, A.; Machado-Paled, D.; Cordova Guilarte, J.; Teran-Quintero, S. Autonomous Robotic Surgery: Has the Future Arrived? Cureus 2024, 16, e52243. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Han, J.; Davids, J.; Ashrafian, H.; Darzi, A.; Elson, D.S.; Sodergren, M. A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approaches. Int. J. Med. Robot. 2022, 18, e2358. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lee, A.; Baker, T.S.; Bederson, J.B.; Rapoport, B.I. Levels of autonomy in FDA-cleared surgical robots: A systematic review. NPJ Digit. Med. 2024, 7, 103. [Google Scholar] [CrossRef] [Scilit]
- Wan, Q.; Shi, Y.; Xiao, X.; Li, X.; Mo, H. Review of Human–Robot Collaboration in Robotic Surgery. Adv. Intell. Syst. 2024, 7, 2400319. [Google Scholar] [CrossRef] [Scilit]
- Liu, T.; Wang, J.; Wong, S.; Razjigaev, A.; Beier, S.; Peng, S.; Do, T.N.; Song, S.; Chu, D.; Wang, C.H.; et al. A Review on the Form and Complexity of Human–Robot Interaction in the Evolution of Autonomous Surgery. Adv. Intell. Syst. 2024, 6, 2400197. [Google Scholar] [CrossRef] [Scilit]
- Schreiter, J.; Schott, D.; Schwenderling, L.; Hansen, C.; Heinrich, F.; Joeres, F. AR-Supported Supervision of Conditional Autonomous Robots: Considerations for Pedicle Screw Placement in the Future. J. Imaging 2022, 8, 255. [Google Scholar] [CrossRef] [Scilit]
- Dagnino, G.; Kundrat, D. Robot-assistive minimally invasive surgery: Trends and future directions. Int. J. Intell. Robot. Appl. 2024, 8, 812–826. [Google Scholar] [CrossRef] [Scilit]
- Chinzei, K.; Hata, N.; Jolesz, F.A.; Kikinis, R. Surgical Assist Robot for the Active Navigation in the Intraoperative MRI: Hardware Design Issues. In Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113), Takamatsu, Japan, 31 October–5 November 2000; pp. 727–732. [Google Scholar] [CrossRef] [Scilit]
- Tsekos, N.V.; Khanicheh, A.; Christoforou, E.; Mavroidis, C. Magnetic resonance-compatible robotic and mechatronics systems for image-guided interventions and rehabilitation: A review study. Annu. Rev. Biomed. Eng. 2007, 9, 351–387. [Google Scholar] [CrossRef] [Scilit]
- Faoro, G.; Maglio, S.; Pane, S.; Iacovacci, V.; Menciassi, A. An artificial intelligence-aided robotic platform for ultrasound-guided transcarotid revascularization. IEEE Robot. Autom. Lett. 2023, 8, 2349–2356. [Google Scholar] [CrossRef] [Scilit]
- Su, H.; Kwok, K.W.; Cleary, K.; Iordachita, I.I.; Çavuşoğlu, M.C.; Desai, J.P.; Fischer, G.S. State of the art and future opportunities in MRI-guided robot-assisted surgery and interventions. Proc. IEEE Inst. Electr. Electron. Eng. 2022, 110, 968–992. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Padhan, J.; Tsekos, N.; Al-Ansari, A.; Abinahed, J.; Deng, Z.; Navkar, N.V. Dynamic Guidance Virtual Fixtures for Guiding Robotic Interventions: Intraoperative MRI-guided Transapical Cardiac Intervention Paradigm. In Proceedings of the 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE), Taichung, Taiwan, 7–9 November 2022; pp. 265–270. [Google Scholar] [CrossRef] [Scilit]
- Singh, S.; Torrealdea, F.; Bandula, S. MR imaging-guided intervention: Evaluation of MR conditional biopsy and ablation needle tip artifacts at 3T using a balanced fast field echo sequence. J. Vasc. Interv. Radiol. 2021, 32, 1068–1074. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Xu, L.; Pacia, C.P.; Gong, Y.; Hu, Z.; Chien, C.Y.; Yang, L.; Gach, H.M.; Hao, Y.; Comron, H.; Huang, J.; et al. Characterization of the targeting accuracy of a neuronavigation-guided transcranial FUS system in vitro, in vivo, and in silico. IEEE Trans. Biomed. Eng. 2023, 70, 1528–1538. [Google Scholar] [CrossRef] [Scilit]
- Navarro-Becerra, J.A.; Borden, M.A. Targeted Microbubbles for Drug, Gene, and Cell Delivery in Therapy and Immunotherapy. Pharmaceutics 2023, 15, 1625. [Google Scholar] [CrossRef] [Scilit]
- Delaney, L.J.; Isguven, S.; Eisenbrey, J.R.; Hickok, N.J.; Forsberg, F. Making waves: How ultrasound-targeted drug delivery is changing pharmaceutical approaches. Mater. Adv. 2022, 3, 3023–3040. [Google Scholar] [CrossRef] [Scilit]
- Jia, X.; Zhang, Y.; Du, H.; Yu, Y. Experimental study of double cable-conduit driving device for MRI compatible biopsy robots. J. Mech. Med. Biol. 2021, 21, 2140014. [Google Scholar] [CrossRef] [Scilit]
- Li, X.; Young, A.S.; Raman, S.S.; Lu, D.S.; Lee, Y.H.; Tsao, T.C.; Wu, H.H. Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions. Int. J. Comput. Assist. Radiol. Surg. 2020, 15, 1673–1684. [Google Scholar] [CrossRef] [Scilit]
- Bernardes, M.C.; Moreira, P.; Lezcano, D.; Foley, L.; Tuncali, K.; Tempany, C.; Kim, J.S.; Hata, N.; Iordachita, I.; Tokuda, J. In Vivo Feasibility Study: Evaluating Autonomous Data-Driven Robotic Needle Trajectory Correction in MRI-Guided Transperineal Procedures. IEEE Robot. Autom. Lett. 2024, 9, 8975–8982. [Google Scholar] [CrossRef] [Scilit]
- Wu, D.; Li, G.; Patel, N.; Yan, J.; Monfaredi, R.; Cleary, K.; Iordachita, I. Remotely Actuated Needle Driving Device for MRI-Guided Percutaneous Interventions: Force and Accuracy Evaluation. In Proceedings of the 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Berlin, Germany, 23–27 July 2019; pp. 1985–1989. [Google Scholar] [CrossRef] [Scilit]
- Mohith, S.; Upadhya, A.R.; Navin, K.P.; Kulkarni, S.M.; Rao, M. Recent trends in piezoelectric actuators for precision motion and their applications: A review. Smart Mater. Struct. 2020, 30, 013002. [Google Scholar] [CrossRef] [Scilit]
- Gao, X.; Yang, J.; Wu, J.; Xin, X.; Li, Z.; Yuan, X.; Shen, X.; Dong, S. Piezoelectric actuators and motors: Materials, designs, and applications. Adv. Mater. Technol. 2020, 5, 1900716. [Google Scholar] [CrossRef] [Scilit]
- Qiao, G.; Li, H.; Lu, X.; Wen, J.; Cheng, T. Piezoelectric stick-slip actuators with flexure hinge mechanisms: A review. J. Intell. Mater. Syst. Struct. 2022, 33, 1879–1901. [Google Scholar] [CrossRef] [Scilit]
- Wang, S.; Zhou, S.; Zhang, X.; Xu, P.; Zhang, Z.; Ren, L. Bionic stepping motors driven by piezoelectric materials. J. Bionic. Eng. 2023, 20, 858–872. [Google Scholar] [CrossRef] [Scilit]
- Yang, Z.; Li, X.; Tang, J.; Huang, H.; Zhao, H.; Cheng, Y.; Liu, S.; Li, C.; Xiong, M. A bionic stick-slip piezo-driven positioning platform designed by imitating the structure and movement of the crab. J. Bionic. Eng. 2023, 20, 2590–2600. [Google Scholar] [CrossRef] [Scilit]
- Liu, J.; Gao, X.; Jin, H.; Ren, K.; Guo, J.; Qiao, L.; Qiu, C.; Chen, W.; He, Y.; Dong, S.; et al. Miniaturized electromechanical devices with multi-vibration modes achieved by orderly stacked structure with piezoelectric strain units. Nat. Commun. 2022, 13, 6567. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Fu, D.K.; Fan, P.Q.; Yuan, T.; Wang, Y.S. A novel hybrid mode linear ultrasonic motor with double driving feet. Rev. Sci. Instrum. 2022, 93, 025003. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Li, Z.; Guo, Z.; Han, H.; Su, Z.; Sun, H. Design and characteristic analysis of multi-degree-of-freedom ultrasonic motor based on spherical stator. Rev. Sci. Instrum. 2022, 93, 025004. [Google Scholar] [CrossRef] [Scilit]
- Zhang, S.; Liu, Y.; Deng, J.; Gao, X.; Li, J.; Wang, W.; Xun, M.; Ma, X.; Chang, Q.; Liu, J.; et al. Piezo robotic hand for motion manipulation from micro to macro. Nat. Commun. 2023, 14, 500. [Google Scholar] [CrossRef] [Scilit]
- Wu, G.; Wang, Z.; Wu, Y.; Zhao, J.; Cui, F.; Zhang, Y.; Chen, W. Development and Improvement of a Piezoelectrically Driven Miniature Robot. Biomimetics 2024, 9, 226. [Google Scholar] [CrossRef] [Scilit]
- Shen, J.; Fang, X.; Liu, J.; Liu, L.; Lu, H.; Lou, J. Design, manufacture, and two-step calibration of a piezoelectric parallel microrobot at the millimeter scale for micromanipulation. Mech. Mach. Theory 2025, 206, 105928. [Google Scholar] [CrossRef] [Scilit]
- Chen, X.; Kiziroglou, M.E.; Yeatman, E.M. Onboard visual micro-servoing on robotic surgery tools. Microsyst. Nanoeng. 2025, 11, 112. [Google Scholar] [CrossRef] [Scilit]
- Del Giudice, G.; Orekhov, A.L.; Shen, J.H.; Joos, K.; Simaan, N. Investigation of Micro-motion Kinematics of Continuum Robots for Volumetric OCT and OCT-guided Visual Servoing. IEEE ASME Trans. Mechatron. 2021, 26, 2604–2615. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Altun, I.; Nezami, N. Role of Robotics in Image-Guided Trans-Arterial Interventions. Tech. Vasc. Interv. Radiol. 2024, 27, 101005. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Babaheidarian, P.; Soltanattar, A.; Sajadi, S.K.; Rostamian, L.; Foroutani, L.; Soleymanpourshamsi, T.; Zarrazvand, E.; Farshid, A.; Dadpour, M.; Janbozorgi, S.; et al. Robotics in Healthcare. Kindle 2025, 5, 1–178. Available online: https://preferpub.org/index.php/kindle/article/view/Book50 (accessed on 24 August 2025).
- Liu, E.; Cai, Z.; Ye, Y.; Zhou, M.; Liao, H.; Yi, Y. An Overview of Fslexible Sensors: Development, Application, and Challenges. Sensors 2023, 23, 817. [Google Scholar] [CrossRef] [Scilit]
- Devi, D.H.; Duraisamy, K.; Armghan, A.; Alsharari, M.; Aliqab, K.; Sorathiya, V.; Das, S.; Rashid, N. 5G Technology in Healthcare and Wearable Devices: A Review. Sensors 2023, 23, 2519. [Google Scholar] [CrossRef] [Scilit]
- Mukhopadhyay, S.C.; Suryadevara, N.K.; Nag, A. Wearable Sensors for Healthcare: Fabrication to Application. Sensors 2022, 22, 5137. [Google Scholar] [CrossRef] [Scilit]
- Chakrabarti, S.; Biswas, N.; Jones, L.D.; Kesari, S.; Ashili, S. Smart Consumer Wearables as Digital Diagnostic Tools: A Review. Diagnostics 2022, 12, 2110. [Google Scholar] [CrossRef] [Scilit]
- Escobar-Linero, E.; Muñoz-Saavedra, L.; Luna-Perejón, F.; Sevillano, J.L.; Domínguez-Morales, M. Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies. Sensors 2023, 23, 1678. [Google Scholar] [CrossRef] [Scilit]
- Pantelopoulos, A.; Bourbakis, N.G. A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Trans. Syst. Man. Cybern. Part C 2010, 40, 1–12. [Google Scholar] [CrossRef] [Scilit]
- Ahmed, M.R.; Newby, S.; Potluri, P.; Mirihanage, W.; Fernando, A. Emerging Paradigms in Fetal Heart Rate Monitoring: Evaluating the Efficacy and Application of Innovative Textile-Based Wearables. Sensors 2024, 24, 6066. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Moon, K.S.; Lee, S.Q. A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis. Sensors 2023, 23, 6790. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Khan Mamun, M.M.R.; Sherif, A. Advancement in the Cuffless and Noninvasive Measurement of Blood Pressure: A Review of the Literature and Open Challenges. Bioengineering 2023, 10, 27. [Google Scholar] [CrossRef] [Scilit]
- Xing, Y.; Yang, K.; Lu, A.; Mackie, K.; Guo, F. Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine. Cyborg Bionic Syst. 2024, 13, 0160. [Google Scholar] [CrossRef] [Scilit]
- Bhuva, A.N.; Moralee, R.; Brunker, T.; Lascelles, K.; Cash, L.; Patel, K.P.; Lowe, M.; Sekhri, N.; Alpendurada, F.; Pennell, D.J.; et al. Evidence to support magnetic resonance conditional labelling of all pacemaker and defibrillator leads in patients with cardiac implantable electronic devices. Eur. Heart J. 2022, 43, 2469–2478. [Google Scholar] [CrossRef] [Scilit]
- Joo, H.; Lee, Y.; Kim, J.; Yoo, J.S.; Yoo, S.; Kim, S.; Arya, A.K.; Kim, S.; Choi, S.H.; Lu, N.; et al. Soft Implantable Drug Delivery Device Integrated Wirelessly with Wearable Devices to Treat Fatal Seizures. Sci. Adv. 2021, 7, eabd4639. [Google Scholar] [CrossRef] [Scilit]
- Cheng, Y.; Xie, D.; Han, Y.; Guo, S.; Sun, Z.; Jing, L.; Man, W.; Liu, D.; Yang, K.; Lei, D.; et al. Precise management system for chronic intractable pain patients implanted with spinal cord stimulation based on a remote programming platform: Study protocol for a randomized controlled trial (PreMaSy study). Trials 2023, 24, 580. [Google Scholar] [CrossRef] [Scilit]
- Thotahewa, K.M.S.; Redouté, J.; Yuce, M.R. Electromagnetic and thermal effects of IR-UWB wireless implant systems on the human head. In Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 3–7 July 2013; pp. 5179–5182. [Google Scholar] [CrossRef] [Scilit]
- Gordon, J.S.; Maynes, E.J.; O’Malley, T.J.; Pavri, B.B.; Tchantchaleishvili, V. Electromagnetic interference between implantable cardiac devices and continuous-flow left ventricular assist devices: A review. J. Interv. Card. Electrophysiol. 2021, 61, 1–10. [Google Scholar] [CrossRef] [Scilit]
- Gui, J.; Liu, X.; Dou, H. Effects of Processing Parameters on the Structure and Mechanical Property of PVDF/BN Nanofiber Yarns. Polymers 2025, 17, 1931. [Google Scholar] [CrossRef] [Scilit]
- Gao, T.; Liao, Q.; Si, W.; Chu, Y.; Dong, H.; Li, Y.; Liao, Y.; Qin, L. From fundamentals to future challenges for flexible piezoelectric actuators. Cell Rep. Phys. Sci. 2024, 5, 101789. [Google Scholar] [CrossRef] [Scilit]
- Yang, T.; Zhou, S.; Litak, G.; Jing, X. Recent advances in correlation and integration between vibration control, energy harvesting and monitoring. Nonlinear Dyn. 2023, 111, 20525–20562. [Google Scholar] [CrossRef] [Scilit]
- Yu, H.; Liu, Y.; Deng, J.; Li, J.; Zhang, S.; Chen, W.; Zhao, J. Bioinspired Multilegged Piezoelectric Robot: The Design Philosophy Aiming at High-Performance Micromanipulation. Adv. Intell. Syst. 2022, 4, 2100142. [Google Scholar] [CrossRef] [Scilit]
- Deng, J.; Liu, Z.; Li, J.; Zhang, S.; Liu, Y. Development of a Highly Adaptive Miniature Piezoelectric Robot Inspired by Earthworms. Adv. Sci. 2024, 11, e2403426. [Google Scholar] [CrossRef] [Scilit]
- Suzuki, M.; Iida, Y.; Tsukui, Y.; Kusama, H.; Kinoshita, R.; Kusui, E.; Sunohara, Y.; Minegishi, R.; Sugiyama, Y.; Nishimura, Y.; et al. Automatic Holonomic Mobile Micromanipulator for Submillimeter Objects Inspired by the Rhinoceros Beetle. Adv. Intell. Syst. 2024, 6, 2300517. [Google Scholar] [CrossRef] [Scilit]
- Wang, Y.; Zhang, B.; Deng, J.; Zhang, S.; Chen, W.; Liu, Y. A Grasshopper-Inspired Miniature Piezoelectric Actuator Integrated with Three Vibrating Units. Int. J. Mech. Sci. 2025, 300, 110458. [Google Scholar] [CrossRef] [Scilit]
- Wu, J.; Ding, Z.; Wang, L.; Zhang, R.; Zhang, Y.; Rong, X.; Song, R.; Dong, H.; Zhao, J.; Li, Y. Development of an Untethered Ultrasonic Robot with Fast and Load-Carriable Movement Imitating Rotatory Galloping Gait. IEEE/ASME Trans. Mechatron. 2025, 30, 1001–1013. [Google Scholar] [CrossRef] [Scilit]
- Li, X.; Ding, Z.; Jiang Wu, J.; Wei, W.; Wang, L.; Zhang, Y.; Li, D.; Rong, X.; Song, R.; Li, Y. A Miniature Pole-climbing Piezoelectric Robot with Fast and Load-Towable Movement Inspired by Squirrel’s Galloping Gait. IEEE Trans. Ind. Electron. 2025, 72, 5221–5233. [Google Scholar] [CrossRef] [Scilit]
- Zhu, B.; Wang, Y.Q. Octopus-crawling-inspired highly agile miniature piezoelectric robot with strong load-bearing capacity. Int. J. Mech. Sci. 2025, 291, 110130. [Google Scholar] [CrossRef] [Scilit]
- Sunohara, Y.; Ueno, S.; Minegishi, R.; Sekine, C.; Kitamura, Y.; Sugiyama, Y.; Ando, S.; Fuchiwaki, O. Ultrafast Untethered Levitation Device Utilized Squeeze Film for Omni-Directional Transport. Adv. Intell. Syst. 2025, 2401098. [Google Scholar] [CrossRef] [Scilit]
- Du, P.; Chen, W.; Deng, J.; Liu, Y. Sensing–Actuating Integrated Ultrasonic Device for High-Precision and High-Efficiency Burnishing. IEEE Trans. Ind. Electron. 2025, 72, 5199–5209. [Google Scholar] [CrossRef] [Scilit]
- Chen, B.; Feng, Z.; Yao, F.Z.; Zhang, M.H.; Wang, K.; Wei, Y.; Gong, W.; Röde, J. Flexible piezoelectrics: Integration of sensing, actuating and energy harvesting. npj Flex. Electron. 2025, 9, 58. [Google Scholar] [CrossRef] [Scilit]
- Dagdeviren, C.; Yang, B.D.; Su, Y.; Tran, P.L.; Joe, P.; Anderson, E.; Xia, J.; Doraiswamy, V.; Dehdashti, B.; Feng, X.; et al. Conformal piezoelectric energy harvesting and storage from motions of the heart, lung, and diaphragm. Proc. Natl. Acad. Sci. USA 2014, 111, 1927–1932. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hwang, G.T.; Byun, M.; Jeong, C.K.; Lee, K.J. Flexible piezoelectric thin-film energy harvesters and nanosensors for biomedical applications. Adv. Healthc. Mater. 2015, 4, 646–658. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Raj, N.P.M.J.; Alluri, N.R.; Vivekananthan, V.; Chandrasekhar, A.; Khandelwal, G.; Kim, S.J. Sustainable yarn type-piezoelectric energy harvester as an eco-friendly, cost-effective battery-free breath sensor. Appl. Energy 2018, 228, 1767–1776. [Google Scholar] [CrossRef] [Scilit]
- He, Q.; Briscoe, J. Piezoelectric Energy Harvester Technologies: Synthesis, Mechanisms, and Multifunctional Applications. ACS Appl. Mater. Interfaces 2024, 16, 29491–29520. [Google Scholar] [CrossRef] [Scilit]
- Kang, S.; Kim, S.H.; Lee, H.B.; Mhin, S.; Ryu, J.H.; Kim, Y.W.; Jones, J.L.; Son, Y.; Lee, N.K.; Lee, K.; et al. High-power energy harvesting and imperceptible pulse sensing through peapod-inspired hierarchically designed piezoelectric nanofibers. Nano Energy 2022, 99, 107386. [Google Scholar] [CrossRef] [Scilit]
- Dagdeviren, C.; Javid, F.; Joe, P.; von Erlach, T.; Bensel, T.; Wei, Z.; Saxton, S.; Cleveland, C.; Booth, L.; McDonnell, S.; et al. Flexible piezoelectric devices for gastrointestinal motility sensing. Nat. Biomed. Eng. 2017, 1, 807–817. [Google Scholar] [CrossRef] [Scilit]
- Murayama, N.; Nakamura, K.; Obara, H.; Segawa, M. The strong piezoelectricity in polyvinylidene fluroide (PVDF). Ultrasonics 1976, 14, 15–24. [Google Scholar] [CrossRef] [Scilit]
- Mohammadpourfazeli, S.; Arash, S.; Ansari, A.; Yang, S.; Mallick, K.; Bagherzadeh, R. Future prospects and recent developments of polyvinylidene fluoride (PVDF) piezoelectric polymer; fabrication methods, structure, and electro-mechanical properties. RSC Adv. 2023, 13, 370–387. [Google Scholar] [CrossRef] [Scilit]
- Verma, K.; Kumar, A.; Sharma, R. Development of flexible piezoelectric nanogenerator based on PVDF/KNN/ZnO nanocomposite film for energy harvesting application. J. Mater. Sci. Mater. Electron. 2024, 35, 1732. [Google Scholar] [CrossRef] [Scilit]
- Sasmal, A.; Patra, A.; Maiti, P.; Sahu, B.; Krahne, R.; Arockiarajan, A. Microstructuring of conductivity tuned piezoelectric polydimethylsiloxane/(Ba0.85Ca0.15)(Ti0.90Hf0.10)O3 composite for hybrid mechanical energy harvesting. Polym. Compos. 2025, 46, 1–16. [Google Scholar] [CrossRef] [Scilit]
- Kum, H.S.; Lee, H.; Kim, S.; Lindemann, S.; Kong, W.; Qiao, K.; Chen, P.; Irwin, J.; Lee, J.H.; Xie, S.; et al. Heterogeneous integration of single-crystalline complex-oxide membranes. Nature 2020, 578, 75–81. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ren, Z.; Deng, S.; Shao, J.; Yangyang, S.; Zhou, C.; Luo, J.; Wang, T.; Li, J.; Li, J.; Liu, H.; et al. Ultrahigh-power-density flexible piezoelectric energy harvester based on freestanding ferroelectric oxide thin films. Nat. Commun. 2025, 16, 3192. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Razek, A. Biological and Medical Disturbances Due to Exposure to Fields Emitted by Electromagnetic Energy Devices—A Review. Energies 2022, 15, 4455. [Google Scholar] [CrossRef] [Scilit]
- Razek, A. Assessment of a Functional Electromagnetic Compatibility Analysis of Near-Body Medical Devices Subject to Electromagnetic Field Perturbation. Electronics 2023, 12, 4780. [Google Scholar] [CrossRef] [Scilit]
- Tao, F.; Sui, F.; Liu, A.; Qi, Q.; Zhang, M.; Song, B.; Guo, Z.; Lu, S.C.Y.; Nee, A.Y.C. Digital twin-driven product design framework. Int. J. Prod. Res. 2019, 57, 3935–3953. [Google Scholar] [CrossRef] [Scilit]
- Grieves, M.; Vickers, J. Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. In Trans-Disciplinary Perspectives on Complex Systems; Springer: Cham, Switzerland, 2017; pp. 85–113. [Google Scholar] [CrossRef] [Scilit]
- Sun, T.; He, X.; Li, Z. Digital twin in healthcare: Recent updates and challenges. Digit. Health 2023, 9, 20552076221149651. [Google Scholar] [CrossRef] [Scilit]
- De Benedictis, A.; Mazzocca, N.; Somma, A.; Strigaroet, C. Digital twins in healthcare: An architectural proposal and its application in a social distancing case study. IEEE J. Biomed. Health Inform. 2022, 27, 5143–5154. [Google Scholar] [CrossRef] [Scilit]
- Haleem, A.; Javaid, M.; Singh, R.P.; Suman, R. Exploring the revolution in healthcare systems through the applications of digital twin technology. Biomed. Technol. 2023, 4, 28–38. [Google Scholar] [CrossRef] [Scilit]
- Mohamed, N.; Al-Jaroodi, J.; Jawhar, I.; Kesserwan, N. Leveraging digital twins for healthcare systems engineering. IEEE Access 2023, 11, 69841–69853. [Google Scholar] [CrossRef] [Scilit]
- Ricci, A.; Croatti, A.; Montagna, S. Pervasive and connected digital twins-a vision for digital health. IEEE Internet Comput. 2022, 26, 26–32. [Google Scholar] [CrossRef] [Scilit]
- Wickramasinghe, N.; Ulapane, N.; Sloane, E.B.; Gehlot, V. Digital Twins for More Precise and Personalized Treatment. Stud. Health Technol. Inform. 2024, 310, 229–233. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Song, Y. Human digital twin, the development and impact on design. J. Comput. Inf. Sci. Eng. 2023, 23, 060819. [Google Scholar] [CrossRef] [Scilit]
- Burattini, S.; Montagna, S.; Croatti, A.; Gentili, N.; Ricci, A.; Leonardi, L.; Pandolfini, S.; Tosi, S. An Ecosystem of Digital Twins for Operating Room Management. In Proceedings of the 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L’Aquila, Italy, 22–24 June 2023; pp. 770–775. [Google Scholar] [CrossRef] [Scilit]
- Hagmann, K.; Hellings-Kuß, A.; Klodmann, J.; Richter, R.; Stulp, F.; Leidner, D. A digital twin approach for contextual assistance for surgeons during surgical robotics training. Front. Robot. AI 2021, 8, 735566. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Katsoulakis, E.; Wang, Q.; Wu, H.; Shahriyari, L.; Fletcher, R.; Liu, J.; Achenie, L.; Liu, H.; Jackson, P.; Xiao, Y.; et al. Digital twins for health: A scoping review. npj Digit. Med. 2024, 7, 77. [Google Scholar] [CrossRef] [Scilit]
- Cusumano, D.; Boldrini, L.; Dhont, J.; Fiorino, C.; Green, O.; Güngör, G.; Jornet, N.; Klüter, S.; Landry, G.; Mattiucci, G.C.; et al. Artificial intelligence in magnetic resonance guided radiotherapy: Medical and physical considerations on state of art and future perspectives. Phys. Med. 2021, 85, 175–191. [Google Scholar] [CrossRef] [Scilit]
- Seetohul, J.; Shafiee, M.; Sirlantzis, K. Augmented reality (AR) for surgical robotic and autonomous systems: State of the art, challenges, and solutions. Sensors 2023, 23, 6202. [Google Scholar] [CrossRef] [Scilit]
- Avrumova, F.; Lebl, D.R. Augmented reality for minimally invasive spinal surgery. Front. Surg. 2023, 9, 1086988. [Google Scholar] [CrossRef] [Scilit]
- Long, Y.; Cao, J.; Deguet, A.; Taylor, R.H.; Dou, Q. Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario. In Proceedings of the International Symposium on Medical Robotics (ISMR), Atlanta, GA, USA, 13–15 April 2022; pp. 1–8. [Google Scholar] [CrossRef] [Scilit]
- Fu, J.; Rota, A.; Li, S.; Zhao, J.; Liu, Q.; Iovene, E.; Ferrigno, G.; De Momi, E. Recent Advancements in Augmented Reality for Robotic Applications: A Survey. Actuators 2023, 12, 323. [Google Scholar] [CrossRef] [Scilit]
- Qian, L.; Wu, J.Y.; DiMaio, S.P.; Navab, N.; Kazanzides, P. A review of augmented reality in robotic-assisted surgery. IEEE Trans. Med. Robot. Bionics 2020, 2, 1–16. [Google Scholar] [CrossRef] [Scilit]
- Kukushkin, K.; Ryabov, Y.; Borovkov, A. Digital twins: A systematic literature review based on data analysis and topic modeling. Data 2022, 7, 173. [Google Scholar] [CrossRef] [Scilit]
- Giansanti, D.; Morelli, S. Exploring the Potential of Digital Twins in Cancer Treatment: A Narrative Review of Reviews. J. Clin. Med. 2025, 14, 3574. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Cheng, Y.; Wang, T.; Zhu, H.; Hu, X.; Mi, J.; Li, L.; Zhang, Y.; Yang, J.; Dong, L.; Li, Y.; et al. Molecular Engineering of Amino Acid Crystals with Enhanced Piezoelectric Performance for Biodegradable Sensors. Angew. Chem. Int. Ed. Engl. 2025, 64, e202500334. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Cui, J.; Du, L.; Meng, Z.; Gao, J.; Tan, A.; Jin, X.; Zhu, X. Ingenious Structure Engineering to Enhance Piezoelectricity in Poly (vinylidene fluoride) for Biomedical Applications. Biomacromolecules 2024, 25, 5541–5591. [Google Scholar] [CrossRef] [Scilit]
- Pourmadadi, M.; Ahmari, A.; Mirshafiei, M.; Omrani, Z.; Yazdian, F.; Rahdar, A.; Fathi-karkan, S.; Aboudzadeh, M.A. Polyvinylidene fluoride in biomedical applications: Properties, challenges, and future prospects. Eur. Polym. J. 2025, 231, 113889. [Google Scholar] [CrossRef] [Scilit]
- Nain, A.; Chakraborty, S.; Barman, S.R.; Gavit, P.; Indrakumar, S.; Agrawal, A.; Lin, Z.H.; Chatterjee, K. Progress in the development of piezoelectric biomaterials for tissue remodeling. Biomaterials 2024, 307, 122528. [Google Scholar] [CrossRef] [Scilit]
- Vinchurkar, K.; Bukke, S.P.N.; Jain, P.; Bhadoria, J.; Likhariya, M.; Mane, S.; Suryawanshi, M.; Veerabhadrappa, K.V.; Eftekhari, Z.; Onohuean, H. Advances in sustainable biomaterials: Characterizations, and applications in medicine. Discov. Polym. 2025, 2, 2. [Google Scholar] [CrossRef] [Scilit]
- Chen, C.; Zhang, Y.; Zheng, Y.; Zhang, Y.; Liu, H.; Wu, J.; Yang, L.; Yang, Z. Topology in Biological Piezoelectric Materials. Adv. Mater. 2025, 37, e2500466. [Google Scholar] [CrossRef] [Scilit]
- Liu, J.; Ding, Z.; Zhu, Z.; Wu, J.; Rong, X.; Song, R.; Li, Y. A Multi-DOF Self-Moving Piezoelectric Actuator with High Carrying/Positioning Capability by Constructing a Multi-Vibration-Tailored Non-uniformly Distributed Electrode. IEEE/ASME Trans. Mechatron. 2025, 1–12. [Google Scholar] [CrossRef] [Scilit]
- Xu, R.; Yang, Y.; Jin, B.; Wang, L. Adaptive multi-mode piezoelectric actuator with extended torque-speed bandwidth. Int. J. Mech. Sci. 2025, 303, 110675. [Google Scholar] [CrossRef] [Scilit]
- Sun, J.; Deng, J.; Li, J.; Zhang, S.; Xun, M.; Liu, Y. Development of a Stick-Slip Piezoelectric Screw Actuator with High Thrust Force Density. IEEE Trans. Ind. Electron. 2025, 1–10. [Google Scholar] [CrossRef] [Scilit]
- Wang, Y.; Deng, J.; Li, J.; Zhang, S.; Chen, W.; Liu, Y. Progress, Challenges, and Prospects of Miniature Ultrasonic Motors. Adv. Mater. Technol. 2025, e00711. [Google Scholar] [CrossRef] [Scilit]
- Gao, Y.; Li, J.; Zhang, S.; Deng, J.; Chen, W.; Liu, Y. Centimeter-Scale Reconfiguration Piezo Robots with Built-in-Ceramic Actuation Unit. Engineering 2025, in press. [CrossRef] [Scilit]
- Zhao, Z.; Bales, C.; Fischer, G. Design and Characterization of MRI-compatible Plastic Ultrasonic Motor. arXiv 2024, arXiv:2409.04006. [Google Scholar] [CrossRef] [Scilit]
- Li, H.; Li, X.; Wang, W.; Fang, H.; Xu, W.; Du, Z. Dual-foot asynchronous MRI-compatible piezoelectric actuator with backward motion suppression for neurosurgical puncture. Sens. Actuators A Phys. 2025, 393, 116857. [Google Scholar] [CrossRef] [Scilit]
- Rafiee, M.J.; Eyre, K.; Leo, M.; Benovoy, M.; Friedrich, M.G.; Chetrit, M. Comprehensive review of artifacts in cardiac MRI and their mitigation. Int. J. Cardiovasc. Imaging 2024, 40, 2021–2039. [Google Scholar] [CrossRef] [Scilit]











| Actuator | Resolution | Response Time | Driving Force | MRI Compatibility |
|---|---|---|---|---|
| piezoelectric | nanometer | microsecond | Newtons | High |
| electromagnetic | tens of micrometers | millisecond | Newtons | Low |
| hydraulic | micrometer | millisecond | Newtons | High |
| shape–memory alloy | nanometer | second | Newtons | Medium |
| Actuator | Computerized Robotic Common Intervention | MRI-Assisted Robotic Intricate Intervention |
|---|---|---|
| Piezoelectric | V. Good | V. Good |
| Electromagnetic | Good | No |
| Hydraulic | Moderate | Moderate |
| Shape–memory alloy | Good | No |
| Sensors | Sensing Without EMF Exposures | Sensing in EMF Exposure Environment |
|---|---|---|
| Piezoelectric | Good | Good |
| Others | Good | Need shields |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Razek, A.; Bernard, Y. Potential of Piezoelectric Actuation and Sensing in High Reliability Precision Mechanisms and Their Applications in Medical Therapeutics. Actuators 2025, 14, 528. https://doi.org/10.3390/act14110528
Razek A, Bernard Y. Potential of Piezoelectric Actuation and Sensing in High Reliability Precision Mechanisms and Their Applications in Medical Therapeutics. Actuators. 2025; 14(11):528. https://doi.org/10.3390/act14110528
Chicago/Turabian StyleRazek, Adel, and Yves Bernard. 2025. "Potential of Piezoelectric Actuation and Sensing in High Reliability Precision Mechanisms and Their Applications in Medical Therapeutics" Actuators 14, no. 11: 528. https://doi.org/10.3390/act14110528
APA StyleRazek, A., & Bernard, Y. (2025). Potential of Piezoelectric Actuation and Sensing in High Reliability Precision Mechanisms and Their Applications in Medical Therapeutics. Actuators, 14(11), 528. https://doi.org/10.3390/act14110528

