Research Papers
Submissions of original research at the intersection of machine learning and health, to be presented at the symposium.
Machine Learning/CORE Unranked
ML4H 2026
Machine Learning for Health 2026
ML4H 2026 is the 6th symposium dedicated to advancing machine learning for health, bringing together researchers, clinicians, and practitioners to share cutting-edge work at the intersection of ML and healthcare. The event features research paper submissions, demonstration presentations, and three mentorship programs designed to support early-career participants in authorship, reviewing, and career development.
Key deadlines
Verified September 9, 2026Abstract registration
September 11, 2026
AoE
Full paper
September 11, 2026
AoE
Conference timeline
Submission and decisions
Abstract registrationKey deadline
September 11, 2026 · AoE
Full paperKey deadline
September 11, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Demonstrations
Interactive showcases of tools, systems, or applications in machine learning for health.
Mentorship Program Participation
Opportunities for early-career researchers to engage in Author Mentorship, Reviewer Mentorship, or Career Mentorship programs.
Research areas in scope
01
Research Areas
Machine learning for healthHealthcare applications of machine learningClinical decision supportMedical imaging analysisElectronic health record analysisPublic health informaticsBiomedical data scienceReproducible and robust ML in healthcare
Policies worth checking twice
- Submissions must be original and not under review elsewhere during the ML4H review period.
- Authors must submit papers by the September 10, 2026 deadline.
- Mentees in the Author Mentorship Program must submit a paper to ML4H 2026 to participate.
- Mentors in the Author Mentorship Program are not required to be co-authors on the mentee's paper.
- Reviewer mentees must submit reviews via OpenReview by the official deadline and participate in the reviewer discussion period.
- All participants in mentorship programs must abide by the ML4H Code of Conduct.
- Mentees and mentors are expected to communicate honestly and professionally, with at least one meeting required per mentorship pair.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026