Truhn, Daniel

Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

Khader, F., Kather, J. N., Müller-Franzes, G., Wang, T., Han, T., Tayebi Arasteh, S., Hamesch, K., Bressem, K., Haarburger, C., Stegmaier, J., et al. (2023) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 57

The ecological footprint of medical AI

Truhn, D., Müller-Franzes, G., & Kather, J. N. (2023) · European Radiology

Green IT and SustainabilityArtificial Intelligence in Healthcare and Education

Cited by 32

Multimodal Large Language Models are Generalist Medical Image Interpreters

Han, T., Adams, L. C., Nebelung, S., Kather, J. N., Bressem, K. K., & Truhn, D. (2023) · medRxiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 18

LLM Agents Making Agent Tools

Wölflein, G., Ferber, D., Truhn, D., Arandjelovic, O., & Kather, J. N. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 16

Benchmarking artificial intelligence methods for end-to-end computational pathology

Laleh, N. G., Muti, H. S., Lavinia Loeffler, C. M., Echle, A., Saldanha, O. L., Mahmood, F., Lu, M. Y., Trautwein, C., Langer, R., Dislich, B., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 13

End-To-End Clinical Trial Matching with Large Language Models

Ferber, D., Hilgers, L., Wiest, I. C., Leßmann, M.-E., Clusmann, J., Neidlinger, P., Zhu, J., Wölflein, G., Lammert, J., Tschochohei, M., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 12

LongHealth: A Question Answering Benchmark with Long Clinical Documents

Adams, L., Busch, F., Han, T., Excoffier, J.-B., Ortala, M., Löser, A., Aerts, H. J., Kather, J. N., Truhn, D., & Bressem, K. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 10

LLM Agents Making Agent Tools

Wölflein, G., Ferber, D., Truhn, D., Arandjelović, O., & Kather, J. N. (2025) · arXiv

Software Engineering ResearchScientific Computing and Data Management

Cited by 3

Abstract P2-06-18: Deep learning-based tumor microenvironment signature predicts progression-free survival in early-stage hormone receptor positive and HER2 negative breast cancer

Khader, F., El Nahhas, O. S. M., Khader, F., Paul, E., Cekan, P., Antone, N., Truhn, D., & Kather, J. N. (2025) · Clinical Cancer Research

AI in cancer detectionBreast Cancer Treatment Studies

Cited by 0