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 will be held in Puerto Rico on May 7–10, 2024.
An explicit goal of this conference is to foster collaboration between methodologists and key healthcare decision makers such as clinicians, hospital administrators, regulators and payors. SAIL will feature leading voices from each of these backgrounds to shed light on opportunities for and obstacles to the deployment of clinical AI systems.
A second key goal of SAIL is to better integrate the complementary experience of the clinical informatics and machine learning communities. Clinical informaticians, for their part, have an extensive history of integrating their tools within hospital IT systems and working with administrators, privacy policies, and quality improvement officers. Computer scientists, for their part, have frequently spearheaded the development of novel methodological tools and high-performance computing. SAIL is designed to bring together the best of each of these closely related but often disconnected communities.
SAIL will feature invited presentations to expose AI practitioners to the clinical workflow and administrative challenges that commonly prevent real-world adoption. Panels will convene seasoned leaders who have overseen the implementation, adoption, and regulation of real clinical AI systems in practice. Tutorials will provide hands-on exposure to open-source tools for integrating apps with hospital IT systems. Finally, we solicit abstracts for podium or poster presentations designed to generate fruitful discussion (and debate!) among conference attendees from diverse backgrounds (clinicians, clinical informaticians, computer scientists, payers, and regulators).
We invite submissions for abstracts, which will be selected for podium and poster presentations. Abstracts should contain either: 1) new and unpublished work, 2) highlights of recently published work published within the last year or 3) important research hypotheses or questions. Work describing pure methods without thoughtful consideration of clinical applicability or implementation will be considered out of scope and should be submitted elsewhere. Submissions that conduct systematic reviews or apply existing AI methodologies to retrospective data sets, without introducing novel technical approaches or clinical perspectives, are less likely to align with SAIL’s emphasis on deployment. The ideal submission will use innovative machine learning methodology to address real world clinical problems with results that can be translated to improving healthcare. Submissions that deploy AI models, evaluate deployed models, or develop methods for addressing gaps to deployment (e.g., privacy, interpretability, robustness to dataset shift) are of particular interest. Abstracts should be well supported with references to prior work.
Example research themes include addressing key challenges in combining AI with clinical workflows (e.g., clinical decision support, human computer interaction, interpretability, active learning, etc.) or deploying intelligent systems at scale (e.g., fairness, privacy, generalizability across institutions over time, real-time prediction, regulatory compliance). We highly encourage work that involves interdisciplinary collaboration across AI researchers, clinicians, and informaticians. View examples of accepted submissions from last year.
The top abstracts will be selected to give an oral presentation and will receive a travel award from NEJM AI.
Abstracts should have a 500-word limit, excluding references, figures, and figure captions, and a maximum of three figures. Abstract submissions are unblinded and can be submitted in any format, and may contain content that has been published within the last 12 months. Abstracts will be selected for poster and oral presentations by the Program Committee. In addition to being invited to present your work in-person at the symposium, all accepted submissions will also be posted on the SAIL website.
Abstract Submission Deadline: January 19, 2024 by 11:59PM ET
Travel Support Deadline: January 19, 2024 by 11:59PM ET
Abstract Acceptance Notification: February 23, 2024
Symposium Dates: May 7-10, 2024
How to Submit
A link for submission will be posted on this website in January.
We will offer travel support for eligible trainees. Submit an application at sail.health by January 19, 2024 to be considered. However, please note that travel support is not guaranteed.
Contact firstname.lastname@example.org with questions.