Artificial intelligence meets medical robotics
Open accessAbstract
Artificial intelligence (AI) applications in medical robots are bringing a new era to medicine. Advanced medical robots can perform diagnostic and surgical procedures, aid rehabilitation, and provide symbiotic prosthetics to replace limbs. The technology used in these devices, including computer vision, medical image analysis, haptics, navigation, precise manipulation, and machine learning (ML) , could allow autonomous robots to carry out diagnostic imaging, remote surgery, surgical subtasks, or even entire surgical procedures. Moreover, AI in rehabilitation devices and advanced prosthetics can provide individualized support, as well as improved functionality and mobility (see the figure). The combination of extraordinary advances in robotics, medicine, materials science, and computing could bring safer, more efficient, and more widely available patient care in the future. –Gemma K. Alderton
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References 56 · Cited by 207
- Authors
- Yip, M., Salcudean, S., Goldberg, K., Althoefer, K., Menciassi, A., Opfermann, J. D., Krieger, A., Swaminathan, K., Walsh, C. J., Huang, H. (., & Lee, I.-C.
- Affiliations
- University of California San Diego (US)
- University of British Columbia (CA)
- University of California, Berkeley (US)
- Queen Mary University of London (GB)
- Scuola Superiore Sant'Anna (IT)
- Johns Hopkins University (US)
- Harvard University (US)
- University of North Carolina at Chapel Hill (US)
- ORCID
- Venue
- Science
- Published
- 2023-07-14
- Volume
- 381
- Issue
- 6654
- Pages
- 141-146
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W4384129427
- Cited by
- 207
- References
- 56
- Citations by year
- 2026: 54 · 2025: 88 · 2024: 60 · 2023: 5
- FWCI
- 16.35
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- UNC Libraries
- Funders
- Directorate for Computer and Information Science and Engineering
- Directorate for Engineering
- National Institute of Biomedical Imaging and Bioengineering (R01EB020610)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Soft Robotics and Applications
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- medical robotics, artificial intelligence, surgical robots, telesurgery, computer vision, medical image analysis, haptics, robot navigation, robotic manipulation, rehabilitation robotics, prosthetics, autonomous robots, machine learning
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