The international journal of medical robotics + computer assisted surgery : MRCAS · 2021
A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approaches.
СтатьяСистематический обзорНазвание и аннотация: Перевод пока не подготовлен
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Han Jinpei, Davids Joseph, Ashrafian Hutan, Darzi Ara, Elson Daniel S, Sodergren Mikael
Аннотация
BACKGROUND: From traditional open surgery to laparoscopic surgery and robot-assisted surgery, advances in robotics, machine learning, and imaging are pushing the surgical approach to-wards better clinical outcomes. Pre-clinical and clinical evidence suggests that automation may standardise techniques, increase efficiency, and reduce clinical complications.
METHODS: A PRISMA-guided search was conducted across PubMed and OVID.
RESULTS: Of the 89 screened articles, 51 met the inclusion criteria, with 10 included in the final review. Automatic data segmentation, trajectory planning, intra-operative registration, trajectory drilling, and soft tissue robotic surgery were discussed.
CONCLUSION: Although automated surgical systems remain conceptual, several research groups have developed supervised autonomous robotic surgical systems with increasing consideration for ethico-legal issues for automation. Automation paves the way for precision surgery and improved safety and opens new possibilities for deploying more robust artificial intelligence models, better imaging modalities and robotics to improve clinical outcomes.
METHODS: A PRISMA-guided search was conducted across PubMed and OVID.
RESULTS: Of the 89 screened articles, 51 met the inclusion criteria, with 10 included in the final review. Automatic data segmentation, trajectory planning, intra-operative registration, trajectory drilling, and soft tissue robotic surgery were discussed.
CONCLUSION: Although automated surgical systems remain conceptual, several research groups have developed supervised autonomous robotic surgical systems with increasing consideration for ethico-legal issues for automation. Automation paves the way for precision surgery and improved safety and opens new possibilities for deploying more robust artificial intelligence models, better imaging modalities and robotics to improve clinical outcomes.