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Prospects in Technology of Medical/Surgical Robotics and Intelligent Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 1358

Special Issue Editors


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Guest Editor
1. Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC 20010, USA
2. Department of Pediatrics, George Washington University School of Medicine, Washington, DC 20010, USA
Interests: surgical vision; intelligence; machine learning; image-guided surgery

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Guest Editor
1. Department of Biomedical Engineering, School of Engineering and Applied Science, George Washington University, Washington, DC 20052, USA
2. Department of Computer Science (Courtesy Professor)/Autism and Neurodevelopmental Disorders Institute (ANDI), George Washington University, Washington, DC 20052, USA
Interests: assistive robotics; machine learning; artificial intelligence; human-robot interaction; telemedical systems

Special Issue Information

Dear Colleagues,

We invite researchers, practitioners, and innovators to contribute to our Special Issue on "Prospects in Technology of Medical/Surgical Robotics and Intelligent Systems". This issue aims to explore the latest advancements, challenges, and future directions in the development and application of robotics and intelligent systems in medical and surgical contexts. Topics of interest include robotic-assisted surgery, AI-driven diagnostic tools, machine learning applications in healthcare, human–robot interactions, telemedicine advancements, and the integration of intelligent systems in clinical workflows. We seek original research articles, comprehensive reviews, and insightful case studies that address technological innovations, clinical outcomes, ethical considerations, and the economic impact of these cutting-edge technologies. Contributions that demonstrate interdisciplinary approaches and collaboration between engineering, computer science, and medical fields are highly encouraged. Join us in shaping the future of healthcare by sharing your valuable insights and breakthroughs.

Dr. Richard Jaepyeong Cha
Dr. Chung Hyuk Park
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. Applied Sciences 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

  • surgical robotics
  • intelligent systems in healthcare
  • robotic-assisted surgery
  • AI in medicine
  • machine learning in healthcare
  • human–robot interactions
  • telemedicine
  • robotic surgery innovations in surgical vision technologies
  • diagnostic robotics
  • robotics in diagnostics
  • autonomous surgical robots

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Published Papers (1 paper)

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Research

21 pages, 1701 KiB  
Article
Making Complex Technologies Accessible Through Simple Controllability: Initial Results of a Feasibility Study
by Pascal Müller, Hari Krishna Reddy Gali, Subashkumar Rajanayagam, Stefan Twieg, Patrick Jahn and Sebastian Hofstetter
Appl. Sci. 2025, 15(2), 1002; https://doi.org/10.3390/app15021002 - 20 Jan 2025
Viewed by 989
Abstract
Digital assistive technologies (DATs) present a significant opportunity to address the challenges of the healthcare system. However, they have not been designed for this purpose and are still in the process of further development. The objective of this study is to ascertain the [...] Read more.
Digital assistive technologies (DATs) present a significant opportunity to address the challenges of the healthcare system. However, they have not been designed for this purpose and are still in the process of further development. The objective of this study is to ascertain the extent to which a digital cross-device control and application platform for the simplified utilization of DATs alters the willingness of nurses to utilize them in the care process. An exploratory, longitudinal design with a mixed-methods approach was employed in this study. The co-creative design cycle was conducted in two long-term care facilities, with 25 caregivers participating in the form of testing for the platform’s prototypes across multiple iteration loops. The preliminary results indicate a high intention to use DAT, suggesting that the actual use of DAT through a control and application platform will be considerable. The overall trend demonstrates an increase in acceptance, willingness, and intention to use DAT among the participants. One proposed solution to the usability issues of DAT is to develop a platform with an interface for non-programmers to create individual interventions using everyday controls and a few intuitive steps. This could facilitate the sustainable implementation of DAT in healthcare. Full article
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