Building Commons for Clinical LLMs | International Conference

October 1 & 2, 2026, Paris 

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conf clinical LLMs

While Large Language Models (LLMs) offer transformative potential for healthcare professionals, their development is subject to strict regulatory frameworks governing clinical data access. 

Beyond this hurdle, most generic models lack the deep domain expertise required for clinical accuracy, a limitation that is even more pronounced in non-English speaking environments. Furthermore, given the non-deterministic nature of LLMs, their use in a medical context presents inherent patient safety risks. This necessitates absolute precision and the establishment of standardized clinical benchmarks to rigorously evaluate model performance across diverse medical specialties.

Conference Objectives and Content

This conference aims to: 

  • Present recent research and findings on LLMs in healthcare, with a particular focus on open-source and collaborative approaches.
  • Foster discussion & collaboration on the major regulatory, scientific, technical and ethical challenges associated with LLMs in healthcare.
  • Open a dialogue with industry stakeholders to compare research findings with real-world applications, limitations, and the conditions for deployment.
  • Address the associated regulatory and ethical challenges, in relation to existing and emerging frameworks, and their impact.
     

What to Expect:

  • 120 participants: researchers, healthcare & industry professionals
  • Day 1 (October 1st) : 6 keynote spotlights, 2 high-level panel sessions and dedicated poster & networking sessions
  • Day 2 (October 2nd):  3 collaborative workshops

The conference will feature an international lineup of speakers pushing the frontiers of the use and challenges of LLMs in healthcare. Detailed schedule coming soon!

Check out the event flyer


SAVE THE DATE
October 1 & 2, 2026, Paris (France)
Fill out this form to pre-register

A confirmation email regarding your registration status will be sent by the organizing committee.

 

First Confirmed Keynotes

We are thrilled to announce the topics and institutions for our first three keynotes: 

  • Evaluation and implementation of LLMs for medical tasks – Stanford Medicine (USA)
  • Development and evaluation of a Japanese Medical LLM – RIKEN iTHEMS (Japan)
  • Development of open-source digital commons (models, data, tools) for generative AI in healthcare and in French - PARTAGES Consortium (France)

More keynote and the full detailed schedule will be announced very soon! Stay tuned. 
 

Venue: PariSanté Campus

Join us at PariSanté Campus, the beating heart of French excellence in digital health. Founded by leading public institutions, including Inserm, Inria, Université PSL, ANS, and the French Health Data Hub, this global innovation hub unites public research, over 60 cutting-edge startups, and healthcare industry leaders.

2-10 Rue d'Oradour-sur-Glane, 75015 Paris, France
 

Call for Posters

In addition to a series of keynote presentations, the conference will feature a poster session where research teams from academia, hospitals, and the healthcare industry are invited to present their work and engage in discussion.


Poster Submission Guidelines

To apply for a poster presentation, authors must submit a 3 pages document describing their work (document template, LaTeX template). The document must contain at least:

  1. Poster title
  2. Authors, affiliations, and contact
  3. Abstract of the work

Submission deadline: July 10, 2026
Notification of acceptance: July 31, 2026

Please fill out this form to submit a poster

We would like to highlight the selected poster abstracts in the conference proceedings that will be sent to participants. However, you may choose whether or not to have your work included in this publication.  


Selection Criteria

The Scientific Committee will review submissions based on the following:

  • Thematic alignment: relevance to the conference themes (clinical applications of LLMs, clinical benchmark for LLMs, regulatory/ethical/safety frameworks, new technical approach, etc.).
  • Project clarity and insight: clarity of the presentation of your objectives, your approach, and the lessons learned (or expected) 

Scientific Committee

  • Emmanuel Bacry, Scientific Director at the French Health Data Hub and CNRS Research Director at Université Paris Dauphine - PSL (CEREMADE), PR[AI]RIE-PSAI, Paris, France
  • Aurélie Névéol, CNRS Research Director, and Head of the STL Department, LISN, CNRS, Université Paris-Saclay, Orsay, France
  • François Portet, Professor at Grenoble Alpes University, CNRS, LIG, Grenoble, France
  • Xavier Tannier, Professor, Limics, Sorbonne Université, Paris, France
  • Pierre Zweigenbaum, Emeritus CNRS Senior Researcher, LISN, CNRS, Université Paris-Saclay, Orsay, France
flyer building commons

For any questions, please contact: jean-baptiste.briand@health-data-hub.fr