The Clinical Artificial Intelligence and Innovation Fellowship at the Surgical Artificial Intelligence and Innovation Laboratory (SAIIL) at Massachusetts General Hospital is a two to three year research fellowship that trains physicians in surgical data science so that they can effectively bridge the gap between clinical and engineering domains. In particular, SAIIL focuses on Computer Vision (CV).
Fellows will work within a team of engineers and surgeons to learn different machine learning techniques and apply them to laparoscopic, endoscopic, and robotic surgical videos. The fellowship gives trainees a strong foundation in the skills required for data science, including statistics, programming, and database management. They will work closely both with academia, including our collaborators at the Massachusetts Institute of Technology (MIT), and different companies across the industry. Fellows will also have the opportunity to engage in committee work related to the application of AI to surgery with various surgical societies.
The goal of the fellowship is to provide surgical residents with a foundation of skills and knowledge to work effectively within an interdisciplinary team of data scientists and surgical researchers to advance the field of data-enabled surgery.