Publications
2026
Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey
Jonathan Kottlors, Andra-Iza Iuga, Christian Bluethgen, Keno K. Bressem, Jakob Nikolas Kather, Linda Moy, Christoph Wald, Wei Wang, Tianming Liu, Erik Ranschaert, Thomas Dratsch, Jens Kleesiek, Roman Johannes Gertz, Pranav Rajpurkar, Arash Bedayat, Matthias A. Fink, Almut Zeeck, Akshay Chaudhari, Tarik Alkasab, Honghan Wu, Felix Nensa, Benyou Wang, Nils Große Hokamp, Kai Roman Laukamp, Thorsten Persigehl, David Maintz, Daniel Truhn, Simon Lennartz
Radiology 2025
An automated information extraction model for unstructured discharge letters using large language models and GPT-4
Robert M. Siepmann, Giulia Baldini, Cynthia S. Schmidt, Daniel Truhn, Gustav Anton Müller-Franzes, Amin Dada, Jens Kleesiek, Felix Nensa, René Hosch
Healthcare Analytics
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks
Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Lisa C. Adams, Keno K. Bressem
Journal of the American Medical Informatics Association 2024
Medical large language models are susceptible to targeted misinformation attacks
Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Mueller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn
npj Digital Medicine
Privacy-preserving large language models for structured medical information retrieval
Isabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, Zunamys I. Carrero, Daniel Paech, Jens Kleesiek, Matthias P. Ebert, Daniel Truhn, Jakob Nikolas Kather
npj Digital Medicine
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Jacqueline Lammert, Lisa C. Adams, Keno K. Bressem
arXiv
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
Felix J. Dorfner, Amin Dada, Felix Busch, Marcus R. Makowski, Tianyu Han, Daniel Truhn, Jens Kleesiek, Madhumita Sushil, Jacqueline Lammert, Lisa C. Adams, Keno K. Bressem 2023
Medical Foundation Models are Susceptible to Targeted Misinformation Attacks
Tianyu Han, Sven Nebelung, Firas Khader, Tianci Wang, Gustav Mueller-Franzes, Christiane Kuhl, Sebastian Försch, Jens Kleesiek, Christoph Haarburger, Keno K. Bressem, Jakob Nikolas Kather, Daniel Truhn
arXiv
On the Impact of Cross-Domain Data on German Language Models
Amin Dada, Aokun Chen, Cheng Peng, Kaleb Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu 
