{"title":"A Review on Surgical Robotic Platforms Including RMIS, AI-Based CAS Systems, Challenges, and Future Directions","authors":"Rachana S. Oza, Mayuri A. Mehta, Patrick Siarry","doi":"10.1002/rcs.70089","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Surgical Robotic Platforms (SRPs) have transformed the way surgeons perform Robot-Assisted Minimally Invasive Surgeries (RMIS). SRPs utilize Computer-Assisted Surgery (CAS) systems to guide surgeons.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This review paper systematically examines 31 SRPs, analysing their benefits and limitations to provide a comprehensive understanding of their role in RMIS execution. In addition, it proposes the logical classification of SRPs. Furthermore, it presents and validates the hypothesis that the use of SRPs and AI-based CAS enhances clinical outcomes by providing an accurate RMIS execution. Moreover, it proposes a logically structured classification of CAS systems.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Classification of evaluation parameters identified for the comparison of SRPs is introduced. An overview of 27 video-guided CAS systems and their comparison is presented.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>In a single place, this paper combines in-depth discussions of three contemporary areas: SRPs, RMIS, and CAS systems. It discusses the identified challenges and extensive future scope of research in three areas.</p>\n </section>\n </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"21 4","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Robotics and Computer Assisted Surgery","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rcs.70089","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Surgical Robotic Platforms (SRPs) have transformed the way surgeons perform Robot-Assisted Minimally Invasive Surgeries (RMIS). SRPs utilize Computer-Assisted Surgery (CAS) systems to guide surgeons.
Methods
This review paper systematically examines 31 SRPs, analysing their benefits and limitations to provide a comprehensive understanding of their role in RMIS execution. In addition, it proposes the logical classification of SRPs. Furthermore, it presents and validates the hypothesis that the use of SRPs and AI-based CAS enhances clinical outcomes by providing an accurate RMIS execution. Moreover, it proposes a logically structured classification of CAS systems.
Results
Classification of evaluation parameters identified for the comparison of SRPs is introduced. An overview of 27 video-guided CAS systems and their comparison is presented.
Conclusion
In a single place, this paper combines in-depth discussions of three contemporary areas: SRPs, RMIS, and CAS systems. It discusses the identified challenges and extensive future scope of research in three areas.
期刊介绍:
The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.