SELF-LEARNING ENGINE FOR THE REFINEMENT AND OPTIMIZATION OF SURGICAL SETTINGS

The present invention pertains to a system (or engine) that monitors a system's performance during a surgery, analyzes that performance, and makes recommendations to the user/surgeon for changes in his settings and/or programs that will result in more effective and time-efficient surgeries. Further, the system may comprise one or more components, including, but not limited to, a user preference filter, a surgical circumstances filter, a surgical instrument, a real time data collection module, and an analysis module.