TRANSLATIONAL AND CLINICAL MEDICINE - Georgian Medical Journal

High-risk surgeries carry a substantial burden of complications and adverse outcomes. However, the integration of Surgiomics, a surgical data analytics approach, with autonomous actions, such as available with robotic-assisted surgery, presents a promising avenue for decreasing risks in these complex procedures. Autonomous actions offer real-time decision support, enhancing precision, adaptability, and early detection of potential complications. Surgiomics leverages comprehensive patient data and advanced analytics to provide personalized risk assessment, enabling surgeons to tailor surgical plans to individual patients. By combining Surgiomic insights with autonomous systems, surgeons may be able to proactively address risks and optimize patient outcomes. Furthermore, autonomous actions and Surgiomics facilitate a learning environment, enabling continuous improvement by analyzing surgical data and integrating findings into autonomous systems. This synergistic approach holds significant potential for transforming high-risk surgeries, reducing complications, and improving patient safety, ultimately having the potential to transform the landscape of surgical care.