THINK Surgical, Inc.


A method to determine the reliability of a robotic surgical system for producing good clinical outcomes is described herein. The method utilizes machine learning (ML) or artificial intelligence (AI) to classify, analyze, or rank how reliable a robotic system is at producing good clinical outcomes as a function of patient specific factors, medical staff factors, robotic system factors, and/or intraoperative factors. A plurality of potential inputs for the ML or AI algorithms is provided as well as the possible outputs for a given robotic system. The method may be particularly useful for surgical robot manufacturers, surgeons, and health care facilities.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.