Surgical robots master tasks through video observation
Image credit: mscholte via Unsplash
Surgical robots have now demonstrated the ability to learn and execute complex tasks simply by observing videos. Led by Johns Hopkins University researchers, this breakthrough uses sophisticated artificial intelligence algorithms that analyze video footage of human-performed surgeries, enabling these robotic systems to mimic and perfect surgical techniques autonomously. This advancement not only enhances the precision and efficiency of robotic surgeries but also opens new avenues for autonomous surgical training. Such technology promises to improve the capabilities of surgical teams, resulting in enhanced patient outcomes and broader access to surgical care globally.
Source
Kim, Ji & Zhao, Tony & Schmidgall, Samuel & Deguet, Anton & Kobilarov, Marin & Finn, Chelsea & Krieger, Axel. (2024). Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks. 10.48550/arXiv.2407.12998.
Additional Reading
https://www.washingtonpost.com/science/2024/12/22/robots-learn-surgical-tasks/
https://www.nytimes.com/2021/04/30/technology/robot-surgery-surgeon.html