Call for Papers

In recent years, the rapid advancements in Large Language Models (LLMs), like GPT-4, Claude 3, Gemini, and others, have demonstrated their immense capabilities in understanding and generating natural language and showcased their immense potential across various domains. In the Medical Informatics (MI) community, there is significant interest in leveraging LLMs in a variety of tasks ranging from general tasks such as improving patient assessment, therapeutics, diagnostics and treatment, specialized tasks such as primary care, surgery and oncology to clinical support tasks such as medical assistants and clinical research tasks relating to trials, compliance and data management.

This workshop focuses on the diverse applications of advanced LLMs in MI, addressing the unique challenges, methodologies, and impacts on healthcare practices. We welcome the submission of original papers on all topics related to LLMs in medical informatics, with particular interest in but not limited to:


Steering Committee


Publicity Chair

Program Committee (alphabetized by first name)


Priv.-Doz. Dr. med. Dipl.-Phys. Daniel Truhn, MD, M.Sc.

Dr. Daniel Truhn
Short Biography
Daniel is a physicist, imaging scientist, and clinical radiologist with a dedicated focus on machine learning and magnetic resonance imaging. After studying physics at RWTH Aachen University and Imperial College in London, he studied medicine at RWTH Aachen University. In 2013, he completed his MD thesis on the compatibility of positron emission tomography and magnetic resonance imaging and joined the Department of Diagnostic and Interventional Radiology (University Hospital Aachen) to become a board-certified clinical radiologist in 2019. Besides his clinical work, he pursued his research interests in machine learning as a fellow at the Institute of Imaging and Computer Vision (RWTH Aachen University) for two years before returning to the clinic where he currently leads the interdisciplinary research group “AI in Medical Imaging”. His research focuses on bringing machine learning-methods into clinical practice and on bridging the gaps between research possibilities and clinical applicability. His recent publications are listed on Google Scholar and PubMed


Author Submission Guidelines

Papers have to be submitted via the workshop's EasyChair submission page.

Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings.

Submitted papers may be 6 to 8 pages. Up to two additional pages may be added for references. The reference pages must only contain references. Overlength papers will be rejected without review. Please ensure that you submit your papers with the full and final list of authors in the correct order. The author list registered for each submission is not allowed to be changed in any way after the paper submission deadline. Please remember to add Keywords to your submission.

Please proofread your submission carefully. It is essential that the language use in the paper is clear and correct so that it is easily understandable. (Either US English or UK English spelling conventions are acceptable.)

All the papers will go through the double-blind peer review process. Authors’ names and affiliations should not appear in the submitted paper. Authors’ prior work should be cited in the third person. Authors should also avoid revealing their identities and/or institutions in the text, figures, links, etc.

Papers submitted to LLMs4MI must be the original work of the authors. The may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to LLMs4MI. Authors should be aware that IEEE has a strict policy with regard to plagiarism.

All accepted papers in LLMs4MI 2024 and FLLM 2024 will be submitted to IEEEXplore for possible publication.

Important Dates

Submission      August 15, 2024
Notification of acceptance      October 05, 2024
Registration      Please visit the FLLM 2024 registration page
Camera-Ready submission      October 20, 2024
Workshop at FLLM 2024      TBD

All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.


For regsitration, please visit FLLM 2024 registration page


For venue and acomodoation information, please visit FLLM 2024 venue page


LLMs4MI 2024 would not have been possible without the full support of the partners with whom we collaborate to advance R&D in the area of Large Language Models and Medical Informatics.