The Machine Learning for Healthcare Conference (MLHC) is a leading venue on the intersection between machine learning breakthroughs, the growth of digital health technologies, and the involvement of tech-savvy clinicians to pave the way for advancing machine learning for healthcare. Since its inception, MLHC has brought together thousands of researchers in machine learning and clinical fields to share pioneering work (archived in the Proceedings of Machine Learning Research) and foster new partnerships.


MLHC invites submissions to a full, archival Research Track and a non-archival Clinical Abstracts Track:

The research track is organized with three main research themes: (i) Novel methods, (ii) Experimental design, validation studies or pilot evaluations of machine learning solutions integrated into clinical practice or workflow, and (iii) Benchmark and reproducibility studies. Submissions in this track should be between 10-15 pages (excluding references and appendix), and those accepted will be published through the Proceedings of Machine Learning Research.

The Clinical Abstracts track welcomes submissions (of up to 2 pages) of work primarily led by clinicians, i.e., the first or senior author and presenter of a clinical abstract track submission must be a clinician. These abstracts will not be archived or indexed, but will have the opportunity to be presented as a poster and/or spotlight talk at MLHC. Clinical abstracts typically pitch clinical problems ripe for machine learning advances or describe translational achievements. This year we are piloting a program to provide the top 25% of the accepted Clinical Abstracts an optional opportunity to submit an enhanced version of the work to the Mayo Clinic Proceedings (MCP) Digital Health. The MLHC 2025 submission and reviewing process is the same for all Clinical Abstracts, and this opportunity will be offered, after the fact, to the top 25% of the accepted Clinical Abstract submissions.

The Research Track and Clinical Abstracts Track submissions shall be made via OpenReview: https://openreview.net/group?id=mlforhc.org/MLHC/2025/Conference

Deadlines:

OpenReview account creation deadline: March 20th, 2025

Pre-submission intent deadline: April 4th, 2025*

Full submission deadline: April 11th, 2025

Review period: April 11th – May 14th, 2025

Author Rebuttal period: May 26th – June 9th, 2025

Reviewer - AC discussion: June 9th – June 23th, 2025

Paper decision notifications: July 3rd, 2025

Conference dates: August 15-16th, 2025


*All authors submitting to either track require an active OpenReview profile. Authors without an active OpenReview profile cannot be added to the submission.


Full details for each track including paper suitability, required LaTeX templates, reviewing and attendance requirements, desk reject policy, and dual submission policy are available here:


https://www.mlforhc.org/paper-submission


We note that one author per paper must be available to review.