Montage photo of Puerto Rico beach blending into El Yunque Rainforest


Day 1 — Tuesday, May 9

4:00–4:30 PM


El Yunque Ballroom

4:30–6:00 PM

DEEP DIVE — A Practical Guide for Implementing ML in EHRs

El Yunque Ballroom
Profile photo of Patrick Lyons
Assistant Professor of Medicine, Oregon Health & Science University
Profile photo of Karandeep Singh
Assistant Professor, University of Michigan Medical School

In this deep dive, we will address common social and technical challenges faced by health systems in evaluating and implementing machine learning based clinical workflows within electronic health records. We will discuss social issues related to governance, selection and evaluation of models, vendor vs. researcher-based models, and regulatory questions. On the technical side, we will discuss issues related to database structures, technical standards, vendor-specific model formats, application programming interfaces, and model monitoring. We will end with a guide on how to get started presented from a health systems perspective, with concrete examples drawing from our experience in sepsis and clinical deterioration.

6:00–7:30 PM


Food truck patio

Rum tasting with Nativo Rumeliers

Day 2 — Wednesday, May 10

8:30–9:00 AM


El Yunque Ballroom

9:00–9:10 AM


El Yunque Ballroom

9:10–10:20 AM

PANEL 1 — Surgical AI

El Yunque Ballroom
Profile photo of Gabriel Brat
Gabriel Brat Moderator
Trauma Surgeon, Beth Israel Deaconness Medical Center; Assistant Professor of Surgery, Harvard Medical School
Profile photo of Rachael Callcut
Associate Dean, Data Science & Innovation
Professor, Surgery in Residence, University of California Davis
Profile photo of Gretchen Purcell Jackson
Vice President & Scientific Medical Officer, Intuitive Surgical
President & Board Chair, AMIA
Profile photo of Genevieve Melton-Meaux
Professor, UMinnesota Medical School

AI is being used to make new tools that improve surgeons’ clinical practice and health-care outcomes. In our “Surgical AI” panel, we learn about the emerging tech that is revolutionizing the operating room.

Also join our Surgical AI Breakout Chat during this evening’s dinner to continue the discussion!

10:25–11:00 AM

INVITED TALK 1 — Human-Centered Design for the Practical Deployment of AI in Pediatric Healthcare

El Yunque Ballroom
Profile photo of Ayanna Howard
Dean of Engineering and Monte Ahuja Endowed Dean’s Chair, The Ohio State University

With the recent advances in robotics and artificial intelligence (AI), early intervention protocols using robots is now ideally positioned to make an impact in the pediatric healthcare domain. There are numerous challenges though that still must be addressed to enable successful interaction between patients, clinicians, and robots—developing interfaces for clinicians to communicate with their AI counterparts; developing learning methods to endow robots with the ability to playfully interact with the child; and ensuring that the system can provide feedback to the parent and clinician in a trustworthy manner. In this presentation, I will discuss the role of human-centered design for the practical deployment of AI, with an emphasis on pediatric robotics that can enable a healthier, less stressful quality of life, now and in the future.

11:05–11:25 AM

SPOTLIGHT TALK 1 — Has machine learning made a difference yet? A retrospective analysis of in-hospital mortality prediction

El Yunque Ballroom
Profile photo of Michael Patton
MD-PhD Candidate, University of Alabama

11:25–11:45 AM

SPOTLIGHT TALK 2 — Deployment and implementation of a multi-service surgical case length prediction model

El Yunque Ballroom
Profile photo of Hamed Zaribafzadeh
Data Scientist, Duke University

11:45 AM – 12:05 PM

SPOTLIGHT TALK 3 — Fostering the translation of AI to the clinic by building a physiological data streaming system

El Yunque Ballroom
Profile photo of Dmytro Lopushanskyy
University of Toronto

12:05–1:20 PM


Yunque Foyer

1:20–2:00 PM

OPENING KEYNOTE — The Emergence of General AI for Medicine

El Yunque Ballroom
Profile photo of Peter Lee
Corporate Vice President, Microsoft Research & Incubations

Large language models, such as GPT-3.5 and later more powerful ones, have emerged as powerful new tools for information work, particularly when coupled with chat interfaces as in ChatGPT. These systems are demonstrating impressive capabilities across many domains, and they have the potential to improve health-care delivery and accelerate medical science. In this talk, we will present the results of our intensive year-long study exploring the benefits and risks of applying these systems in medicine. Our findings indicate that these systems may be the most significant technological advance in health care and medicine to date, despite receiving no specialized training in the field. We will showcase examples of how general AI can be used in health care and medicine, and then discuss the implications for the future as these systems continue to evolve, becoming increasingly more intelligent and capable.

2:05–2:45 PM

INVITED TALK 2 — Inpatient and Outpatient Clinical Translation of AI

El Yunque Ballroom
Profile photo of Narjes Razavian
Assistant Professor, NYU

I will discuss the clinical translation of AI in medicine and its impact on design, evaluation, and integration decisions, and we will review insights from studies at NYU Langone involving inpatient setting (COVID-19), and outpatient setting (Dementia) with Imaging and EHR data.

2:45–3:15 PM


3:15–4:25 PM

PANEL 2 — Tales from the Trenches

El Yunque Ballroom
Profile photo of Mark Michalski
Mark Michalski Moderator
Worldwide Head, AWS Healthcare
Profile photo of Erin Palm
Strategic Advisor, Suki AI
Profile photo of Nigam Shah
Professor, Stanford
Profile photo of Lauren Wilcox
Senior Staff Research Scientist, Google Research
Profile photo of Karley Yoder
GM & Chief Digital Officer, GE Healthcare

So you’ve designed an AI system to improve healthcare, but what will happen when you deploy it in the clinic? In our “Tales from the Trenches” panel, we explore the successes and pitfalls our panelists have experienced firsthand. Join us at SAIL 2023 to be part of the discussion.

4:30–6:00 PM


El Yunque Ballroom
  • 4:30–5:15 pm Odd numbered posters
  • 5:15–6:00 pm Even numbered posters
6:00–7:30 PM

DINNER BANQUET — Puerto Rican Beachside Dinner

Mirador Lawn

7:00–8:00 PM

BREAKOUT — Surgical AI Chat

Mirador pavilion

Grab a drink and join us for an informal roundtable discussion about the future of this field.

Day 3 — Thursday, May 11

8:30–9:00 AM


El Yunque Ballroom

9:00–9:40 AM

INVITED TALK 3 — COVID-19 Screening of Immigrants in Greece

El Yunque Ballroom
Profile photo of Hamsa Bastani
Assistant Professor of Operations, Information, and Decisions; Statistics and Data Science (secondary); Wharton School, University of Pennsylvania

In close collaboration with the Greek government, my co-authors and I deployed a novel reinforcement learning algorithm to allocate a limited number of COVID-19 tests to travelers visiting Greece, with the goal of identifying infected travelers to safeguard public health. Our algorithm processed millions of travelers in 2020 and identified nearly twice as many infections as commonly-employed random testing.

9:45–10:30 AM

INVITED TALK 4 — OpenMRS EHR Systems in Kenya to Improve HIV Care

El Yunque Ballroom
Profile photo of Joseph Hogan
Professor and Chair of Biostatistics, and Carole and Lawrence Sirovich Professor of Public Health, at Brown University
Profile photo of Ann Mwangi
Associate Professor of Biostatistics, Moi University, Kenya

Ann Mwangi and Joseph Hogan will describe development, application, and implementation of machine learning algorithms for improving patient care in a large HIV care program in western Kenya. A key feature of this project is deep collaboration between statisticians (develop the algorithms), behavioral scientists (assess usability among end users), clinicians (prioritize endpoints), and informatics experts (implementation in an EHR). Implementation will be in OpenMRS, and the effectiveness of the ML-based decision support system will be evaluated using a randomized trial of 30 clinics serving around 150,000 patients.

10:30–11:00 AM


11:00 AM –12:00 PM

FIRESIDE CHAT — Implementation: Who Gets Stuff Done?

El Yunque Ballroom
Profile photo of Babatope Fatuyi
Chief Medical Information Officer, UTHealth Houston
Profile photo of Maia Hightower 
Executive Vice President and Chief Digital Technology Officer University, Chicago Medicine; CEO and Co-Founder, Equality AI 
Profile photo of Kevin Johnson
Kevin Johnson Moderator
David L. Cohen University Professor, Perelman School of Medicine, University of Pennsylvania

Informatics leaders at healthcare systems across the country are implementing and overseeing AI solutions at the bedside and across the enterprise. They struggle to balance the opportunity with the costs and risks of AI. This panel will discuss the potential and practical implementation of AI within healthcare systems.

12:00–1:30 PM


Yunque Foyer

1:30–1:50 PM

SPOTLIGHT TALK 4 — Improving dermatology classifiers across populations using images generated by large diffusion models

El Yunque Ballroom
Profile photo of James Diao
MD Candidate, Harvard Medical School and MIT

1:50–2:10 PM

SPOTLIGHT TALK 5 — Multimodal image–text matching improves retrieval-based chest x-ray report generation

El Yunque Ballroom
Profile photo of Jaehwan Jeong
Undergraduate Student, Stanford University

2:15–3:15 PM

FIRESIDE CHAT — Who Drives Investment?

El Yunque Ballroom
Profile photo of John Beadle
Co-Founder & Managing Partner, Aegis Ventures
Profile photo of Molly Gibson
Molly Gibson Moderator
Senior Principal, Flagship Pioneering
Profile photo of Nickolas Mark
Co-Founder and Managing Partner, Intermountain Ventures
Profile photo of Rajesh Viswanathan
Chief Technology Officer, Inovalon

Healthcare investing has seen a transformation, with hospital systems and traditional technology companies joining the field. Novel forms of joint venture and collaboration have grown out of an appreciation of the unique character of healthcare. Join us for a fascinating discussion with investors who represent these new models of healthcare investing.

3:15–3:45 PM


3:45–5:00 PM

PANEL 3 — Large Language Models

El Yunque Ballroom
Profile photo of Sébastien Bubeck
Senior Principal Research Manager, Microsoft Research
Profile photo of Isaac Kohane
Isaac Kohane Moderator
Professor and Chair, Department of Biomedical Informatics, Harvard Medical School
Editor-in-Chief, NEJM AI
Profile photo of Vivek Natarajan
Research Scientist, Health AI, Google
Profile photo of Belwadi Srikanth
VP of Product, Suki AI

Where are LLMs going to have the most beneficial impact upon the practice of medicine?

5:00–5:30 PM


5:30–6:00 PM


hotel entrance

Shuttle departs at 5:30 PM sharp!

6:00–7:30 PM


El Portal Pavilion

The only tropical rainforest in the US, El Yunque spans 28,000 acres and is home to more than 240 types of trees, birds, native species like the coquí frog, and includes 25 waterfalls, several rivers and ancient petroglyphs of the indigenous Taíno.

7:30–8:00 PM


Day 4 — Friday, May 12

8:30–9:00 AM


El Yunque Ballroom

9:00–9:40 AM

INVITED TALK 5 — Apple Heart Study and REACT-AFib

El Yunque Ballroom
Profile photo of Marco Perez
Associate Professor of Medicine, Stanford

I will be focusing on the road that lies ahead, beyond the Apple Heart Study, in the digital health and wearable device space. We’ll chat about the REACT-AF study and how work on deep learning with 12-lead ECGs could translate to the wearable ECG domain.

9:45–11:00 AM

PANEL 4 — AI in Clinical Trials

El Yunque Ballroom
Profile photo of Arnaub Chatterjee
Chief Product and Solutions Officer, TriNetX
Profile photo of Xiao Liu
Xiao Liu Moderator
Clinical Researcher in Artificial Intelligence and Digital Health Technologies, University Hospitals Birmingham
Profile photo of David Ouyang
Staff Physician & Assistant Professor, Cedars-Sinai Medical Center
Profile photo of Lily Peng
Director of Product Development, Verily

Clinical trials aren’t just for drugs or devices anymore! In this panel, we hear from investigators on trials that evaluate the real-world impact of AI-based technologies on human health. Join us at SAIL 2023 for this engaging discussion about the future of clinical research.

11:00–11:10 AM


El Yunque Ballroom

This very brief break is to allow the Keynote Speaker to get to the podium and the AV team to start the live stream. Please be settled back in your seats well in advance of the 11:15 AM Closing Keynote start time.

11:15 AM –12:00 PM

CLOSING KEYNOTE — Open-Source Algorithms in Type 1 Diabetes: Achievements and Challenges from a Patient Perspective

El Yunque Ballroom
Profile photo of Nina Tousch
Owner & Founder, Glucose Toujours

I will be talking about the power of the diabetes online community in the improvement of diabetes care through the example of open-source automated insulin delivery algorithms. I’ll introduce open-source automated insulin delivery systems and discuss their legal, technical, scientific and psychological challenges. Eventually, diabetes technology is full of paradoxes: it is essential yet not accessible to everybody, helpful yet it brings new mental burdens, it increases our life expectancy yet it is not a cure to diabetes.

12:00–1:00 PM


Yunque Foyer