Medical Robots: Safety, Performance and Improvement

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".

Deadline for manuscript submissions: 15 July 2025 | Viewed by 853

Special Issue Editors


E-Mail Website
Guest Editor
Institute of Biomedical Manufacturing and Life Quality Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: biomedical image analysis; image-guided interventions; artificial intelligence in biomedical physics and analysis; VR/AR/MR technology in medicine; medical robotics; biomedical manufacturing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Biomedical Manufacturing and Life Quality Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: medical image computing; computer-aided surgery; medical robotics

Special Issue Information

Dear Colleagues,

With rapid advancements in science and technology and the growing demand for medical services, medical robotics has emerged as a prominent research focus and developmental trend in the healthcare sector. They play a pivotal role in enhancing surgical precision, reducing the risks associated with invasive procedures, and improving overall surgical efficiency. However, the safety, performance, and enhancement of medical robots pose significant challenges that require immediate attention and ongoing research efforts.

The aim of this Special Issue is to delve into the latest research discoveries and emerging trends concerning safety, performance, and enhancements in medical robots. In particular, we aim to explore the novel opportunities and challenges presented by artificial intelligence algorithms, sensor technologies, and control strategies for medical robots, and so on, with the ultimate goal of advancing and facilitating the applications of medical robotics.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Safety analysis and control strategies for medical robots;
  • Innovative approaches to enhancing the performance and precision of medical robots;
  • Applications of medical robots in surgery, rehabilitation, and diagnostics;
  • Applications of artificial intelligence in medical robots;
  • Human–robot collaboration in medical robotics;
  • Soft medical robotics;
  • Rehabilitation robotics;
  • Orthopedic robotics;
  • Immersive teleoperation;
  • Medical-image computing;
  • Surgical navigation;
  • Robots for endoscopic surgery;
  • Robots for eye surgery;
  • Robots for oral and maxillofacial surgery;
  • Image-guided interventions;
  • VR/AR/MR technology in medicine.

We look forward to receiving your contributions.

Prof. Dr. Xiaojun Chen
Dr. Jiangchang Xu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • medical robotics
  • human–robot collaboration
  • intelligent control
  • robot sensing
  • image-guided interventions
  • safe collaboration
  • immersive teleoperations
  • medical-image computing

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

23 pages, 14314 KiB  
Article
RGB-D Camera-Based Human Head Motion Detection and Recognition System for Positron Emission Tomography Scanning
by Yixin Shan, Zikun Lu, Zhe Sun, Hao Liu, Jiangchang Xu, Yixing Sun and Xiaojun Chen
Electronics 2025, 14(7), 1441; https://doi.org/10.3390/electronics14071441 - 2 Apr 2025
Viewed by 294
Abstract
Positron emission tomography (PET) is one of the most advanced imaging diagnostic devices in the medical field, playing a crucial role in tumor diagnosis and treatment. However, patient motion during scanning can lead to motion artifacts, which affect diagnostic accuracy. This study aims [...] Read more.
Positron emission tomography (PET) is one of the most advanced imaging diagnostic devices in the medical field, playing a crucial role in tumor diagnosis and treatment. However, patient motion during scanning can lead to motion artifacts, which affect diagnostic accuracy. This study aims to develop a head motion monitoring system to identify and select images with excessive motion and corresponding periods. The system, based on an RGB-D structured-light camera, implements facial feature point detection, 3D information acquisition, and head motion monitoring, along with a user interaction software. Through phantom experiments and volunteer experiments, the system’s performance was tested under various conditions, including stillness, pitch movement, yaw movement, and comprehensive movement. Experimental results show that the system’s translational error is less than 2.5 mm, rotational error is less than 2.0°, and it can output motion monitoring results within 10 s after the PET scanning, meeting clinical accuracy requirements and showing significant potential for clinical application. Full article
(This article belongs to the Special Issue Medical Robots: Safety, Performance and Improvement)
Show Figures

Figure 1

Back to TopTop