
Deadline:
February 01, 2027
Program Starts: February 01, 2027
Program Ends: February 05, 2027
Location(s)
Italy
Overview
Details
Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare.
GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives.
This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 1 symposium, 4 local presentations, and hands-on activities with a hackathon.
Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible.
STRUCTURE
- Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time.
- A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations.
- The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare.
- All lectures will be video recorded and made available to participants for 45 days after the event.
- Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind.
Eligibility
Candidates should be from:
Description of Ideal Candidate
The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health.
There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome.
An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences.
GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare.
Dates
Deadline: February 01, 2027
Program starts:
February 01, 2027
Program ends:
February 05, 2027
Cost/funding for participants
Internships, scholarships, student conferences and competitions.

