Description

The development of machine learning algorithms to augment, guide and support clinical decision making is accelerating in medicine. Significant progress has been made in the development of artificial intelligence (AI) algorithms to augment the diagnostic accuracy during endoscopy. In surgery, there is growing interest in harnessing and integrating perioperative data in order to generate algorithms that can help improve surgical workflow, support intraoperative decision-making, reduce errors, and improve surgical outcomes. In this webinar, the basic principles of AI and machine learning applied to endoscopy and surgery will be reviewed. Current research and trends in machine learning in performance-guided surgery, telementoring and telecoaching will be explored. Lastly, the basic requirements for acquisition of high-quality perioperative surgical data will be reviewed, as well as the role surgeons should play in the development and integration of AI and machine learning.

Moderators: Patricia Sylla, MD, Sam Atallah, MD, Elliot Arsoniadis MD
Speakers: Dan Hashimoto, MD, Ozanan Meireles, MD, Silvana Perreta, MD, Erik Dutson, MD, Ronan Cahill, MD

Credit Hours Available: None
Release Date: August 25, 2022