Montage photo of Puerto Rico beach blending into El Yunque Rainforest

Participate

The SAIL 2027 Call for Abstracts will be announced in November 2026. Abstracts and Travel Support application forms will be posted here at that time. Abstract submissions and travel support applications will be due on January 15, 2027 at 11:59 PM Eastern. Accepted Abstracts and Travel Support awards will be announced on February 26, 2027.

We invite submissions for abstracts annually, which will be selected for podium and poster presentations by the SAIL Program Committee. The top 5 abstracts will be selected to give an oral presentation and will receive an award of $2,500 USD.


Abstract Requirements

Abstract submissions for SAIL 2027 will be due on January 15, 2027 at 11:59 PM Eastern. Accepted Abstracts and Travel Support awards will be announced on February 26, 2027.

Abstracts should contain original research with results and have a 500-word limit, excluding references, figures and figure captions, with 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. 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.

Abstracts should contain either:

  1. New and unpublished work, or
  2. Highlights of recently published work published within the last year.

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.

Work describing pure methods without thoughtful consideration of clinical applicability or implementation, systematic reviews, and perspectives 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. Additionally, proposals, reviews, perspectives or other submissions will be rejected. Please do not submit your abstract in a poster format.

Example research themes include:

  • Addressing key challenges in combining AI with clinical workflows, e.g.:
    • clinical decision support
    • human computer interaction
    • interpretability
    • active learning
  • 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.

SAIL abstracts are reviewed by at least two members of the program committee for decision-making. SAIL materials are not archived. PLEASE NOTE: feedback will not be provided to authors on submission decisions.

Travel Support

Thanks to the generosity of our sponsors, SAIL offers travel support and/or free registration to eligible attendees to help offset the cost of travel. Priority will be given to individuals with accepted abstracts.

The travel support application cycle for 2027 will reopen in November 2026. The deadline will be the same as the abstracts, January 15, 2027 at 11:59 PM Eastern. Accepted Abstracts and Travel Support awards will be announced on February 26, 2027.

We strongly encourage you to apply to any other sources of funding you may have available to you. Travel support will be issued after the symposium in the form of a reimbursement. In order for expenses to be eligible, they must comply with SAIL’s travel policies, and you will need to provide digital, itemized receipts.

Trainees are eligible for a $200 discount off the registration fee. Please contact info@sail.health for the discount code.