Healthgrades

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Journalist Name:Healthgrades
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This new review explores the evolution of robotic surgery and examines ways in which artificial intelligence (AI) could enable progress in the field. Samuel Schmidgall and colleagues discuss how AI approaches such as reinforcement learning and imitation learning could inform sophisticated surgical simulators and help replicate expert skills to improve the autonomy of surgical robots. The authors also highlight the importance of safety and regulatory considerations; they propose that surgical robots should be designed to recognize their own limitations and relinquish control to a human surgeon during procedures. Seeking commentary, including: (1) What might this mean for future surgeries? (2) Highlight how this tech could assist surgeons and improve overall care.

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posted7/22/2025
deadline completed
deadline7/24/2025
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