Call for Abstracts
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 9–12, 2023.
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 Abstracts should contain either: 1) new and unpublished work, 2) highlights of recently published work or 3) important research hypotheses or questions.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. The ideal submission will use innovative machine learning methodology to address real world clinical problems with results that can be translated to improving healthcare. 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. Examples of posters of accepted submissions from last year can be found on SAIL 2022.
The top four abstracts will be selected to receive a travel grant of $5,000 USD each from the New England Journal of Medicine.
Abstracts have a 500-word limit, excluding references, figures, and figure captions. 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 20, 2023 by 11:59PM ET|
|Travel Support Deadline:||January 20, 2023 by 11:59PM ET|
|Abstract Acceptance Notification:||February 24, 2023|
|Travel Support Notification:||February 24, 2023|
|Symposium Dates:||May 9–12, 2023|
How to Submit
Please complete the Abstract Submission Form.
We will offer travel support for attendees with financial need. However, please note that travel support is not guaranteed. Trainees will be offered discounted registration.Learn more and apply.
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