SAIL Annual Conference

The Symposium on Artificial Intelligence for Learning Health Systems (SAIL) is an annual international conference exploring the integration of artificial intelligence (AI) techniques into clinical medicine. SAIL provides a forum for clinicians, clinical informaticians and AI researchers to discuss approaches—and challenges to using these approaches—in the healthcare domain.

SAIL will host its fourth in-person conference May 6–9, 2025, again in Puerto Rico. 

In order to make SAIL a dynamic, interactive meeting and invite productive discussions, by design our symposium is limited to 150 in-person attendees who are directly involved in improving the implementation of AI in healthcare. If you are interested in attending SAIL, we encourage you to submit an abstract, which we announce annually in November and accept in January.

SAIL 2023

The second live event took place May 9–12, 2023, in Río Grande, Puerto Rico. The following live-streamed keynote sessions were free and open to the public. Videos may be viewed on our YouTube channel. No other sessions were recorded.

• Opening Keynote — The Emergence of General AI for Medicine
  Peter Lee, PhD (Corporate VP, Microsoft Research)
• Closing Keynote — Open-Source Algorithms in Type 1 Diabetes: Achievements and Challenges from a Patient Perspective
  Nina Tousch (Owner & Founder, Glucose Toujours)

SAIL 2022

The first live event took place May 22–24, 2022, in Hamilton, Bermuda. View the recorded livestreams:

• Opening Keynote — Leveraging Autonomous AI to Solve Disparities in Healthcare (Michael Abramoff)
• Fireside Chat — AI in Medical Publishing (editors of NEJM, Nature Medicine and The Lancet Digital Health)
• Closing Keynote — Regulating AI in Healthcare: Now and into the Future (Amy Abernethy)

SAIL 2020

Due to COVID-19, the inaugural event planned for Spring 2020 was instead a half-day virtual pre-symposium in the Fall (video below).

Program Committee

The inaugural Program Committee of SAIL was led by Jessie Tenenbaum (Duke), Jason Moore (UPenn), Nicholas Tatonetti (Columbia), Suchi Saria (Johns Hopkins), and Isaac Kohane (Harvard).