Iakovidis, Dimitris K;
Vartholomeos, Panagiotis;
Le Gall, Alexia;
Cianchetti, Matteo;
Ozioko, Oliver;
Dahiya, Ravinder;
Mazomenos, Evangelos;
... Pattichis, Constantinos S; + view all
(2025)
Medical & Healthcare Robotics: A Roadmap for Enhanced Precision, Safety, and Efficacy.
Measurement Science and Technology
10.1088/1361-6501/ae09bf.
(In press).
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Abstract
Medical robotics holds transformative potential for healthcare. Robots excel in tasks requiring precision, including surgery and minimally invasive interventions, and they can enhance diagnostics through improved automated imaging techniques. Despite the application potentials, the adoption of robotics still faces obstacles, such as high costs, technological limitations, regulatory issues, and concerns about patient safety and data security. This roadmap, authored by an international team of experts, critically assesses the state of medical robotics, highlighting existing challenges and emphasizing the need for novel research contributions to improve patient care and clinical outcomes. It explores advancements in machine learning, highlighting the importance of trustworthiness and interpretability in robotics, the development of soft robotics for surgical and rehabilitation applications, and the role of image-guided robotic systems in diagnostics and therapy. Mini, micro, and nano robotics for surgical interventions, as well as rehabilitation and assistive robots, are also discussed. Furthermore, the roadmap addresses service robots in healthcare, covering navigation, logistics, and telemedicine. For each of the topics addressed, current challenges and future directions to improve patient care through medical robotics are suggested.
| Type: | Article |
|---|---|
| Title: | Medical & Healthcare Robotics: A Roadmap for Enhanced Precision, Safety, and Efficacy |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1088/1361-6501/ae09bf |
| Publisher version: | https://doi.org/10.1088/1361-6501/ae09bf |
| Language: | English |
| Additional information: | As the Version of Record of this article is going to be / has been published on a gold open access basis under a CC BY 4.0 licence, this Accepted Manuscript is available for reuse under a CC BY 4.0 licence immediately. Everyone is permitted to use all or part of the original content in this article, provided that they adhere to all the terms of the licence https://creativecommons.org/licences/by/4.0 Although reasonable endeavours have been taken to obtain all necessary permissions from third parties to include their copyrighted content within this article, their full citation and copyright line may not be present in this Accepted Manuscript version. Before using any content from this article, please refer to the Version of Record on IOPscience once published for full citation and copyright details, as permissions may be required. All third party content is fully copyright protected and is not published on a gold open access basis under a CC BY licence, unless that is specifically stated in the figure caption in the Version of Record. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10214657 |
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