Machine Learning and AI in Medicine

Description

Recent breakthroughs in artificial intelligence, from large foundation models to generative systems, are transforming how medical knowledge is generated and applied in clinical practice. This workshop will focus on cutting-edge advances in AI for medicine, including multi-modal models that integrate imaging, genomics, electronic health records, and other clinical data sources to support medical decision making across diverse patient populations. Particular attention will be given to the reliability and robustness of these systems, as well as to the move beyond purely associational predictions toward AI methods that enable trustworthy causal reasoning from observational and non-randomized data. By bringing together leading researchers in artificial intelligence, statistics, operations research, and biomedical data science, the workshop aims to bridge methodological innovation with the practical demands of clinical research.

Lightning Talks

This workshop will include lightning talks for early career researchers (including graduate students). In order to propose a lightning talk, you must first register for the workshop, and then submit a proposal using the form that will become available on this page after you register. The registration form should not be used to propose a lightning talk.

The deadline for proposing is Sunday January 30, 2028. If your proposal is accepted, you should plan to attend the event in-person.

In-Person Registration

Seats are limited at the venue, which means that in-person registration may be capped prior to the workshop start date. If capacity is reached, a waitlist will be imposed, which the registration form will reflect. Early registration is strongly encouraged.

All in-person registrants must wait to receive an invitation to attend in-person from IMSI before traveling, which generally begin to be sent out 4-6 weeks in advance.

All registrants (online and in-person) will receive zoom links and are welcome to attend online.

Registration Fees

A non-refundable registration fee will be payable by credit card or debit card for any participants invited to attend this workshop in-person. In-person participants agree to pay the non-refundable fee by the deadline given by IMSI. Failure to pay the fee by the deadline may mean that the invitation to attend in-person is revoked.

Current fees:

• $25 for students
• $50 for non-students