1.47 CME

AI and Future of Robotic Surgery

Speaker: Dr. Savvas Hirides

Clinical Assistant Professor, University of Nicosia, Cyprus

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Description

This webinar explores how artificial intelligence is transforming the landscape of robotic surgery, enhancing precision, safety, and decision-making in the operating room. Participants will gain insights into current AI-driven innovations, including image-guided surgery, predictive analytics, and autonomous robotic systems. The session will also discuss ethical considerations, data integration, and the evolving role of surgeons in this technology-driven era. Designed for surgeons, clinicians, and healthcare innovators, it aims to highlight how AI is shaping the next generation of surgical care.

Summary Listen

  • The speaker outlines the evolution of surgery from open procedures to laparoscopic and robotic methods, emphasizing the shift towards minimally invasive techniques. Laparoscopic surgery, emerging in the 1990s, revolutionized surgical specialties by enabling procedures through small incisions, leading to quicker patient recovery. Now, AI is increasingly impacting surgery, building on the robotic surgery foundation laid in the early 2000s. The speaker also briefly touches on the potential future role of microbiotics in surgery, enabled by AI-driven miniature instruments for diagnostics, drug delivery, and surgical applications.
  • Robotic surgery, exemplified by the DaVinci system, began with the concept of a tele-robotic cell, placing a computer between the surgeon and the patient. While initially designed for remote surgery scenarios, its advantages led to widespread adoption across various specialties. This computer intermediary sets the stage for integrating AI into the surgical process, potentially influencing technical workflow, decision-making, and even maneuvering during surgery through semi-autonomous or fully autonomous robots.
  • The levels of AI autonomy in surgery range from assisted guidance (level 1) to full autonomy (level 5). Current capabilities include assisted guidance and task execution (levels 1 and 2). Emerging research explores perceptual abilities (level 3) and data interpretation (level 4), involving AI's ability to analyze data and provide real-time guidance. Full autonomy (level 5), where robots perform surgery without human intervention, remains a future possibility, potentially achievable within 20-30 years.
  • The speaker describes his team's recent AI applications in surgery. These include an AI secretary for app development and a chatbot capable of understanding laparoscopic images. Another application is Jepeto, a prototype surgical assistant that provides real-time feedback to surgeons based on video analysis. Numerous AI-ready robotic systems are under development, promising future AI decision support and features like anatomical recognition and semi-autonomous capabilities.

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