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Journal of the American Medical Informatics Association : JAMIA|October 13, 2025
FHIR-Former: enhancing clinical predictions through Fast Healthcare Interoperability Resources and large language modelsMerlin Engelke, Giulia Baldini, Jens Kleesiek, et al.
Computer Methods and Programs in Biomedicine|January 23, 2024
ChatGPT in healthcare: A taxonomy and systematic reviewJianning Li, Amin Dada, Behrus Puladi, et al.
Studies in Health Technology and Informatics|August 8, 2025
Evaluating Zero-Shot Foundation Models for Time Series Forecasting in Clinical Settings: A Simulation Study with Electronic Health RecordsGernot Pucher, Amin Dada, Felix Nensa, et al.
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz|June 25, 2025
[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges]Jill von Conta, Merlin Engelke, Fin H Bahnsen, et al.
Artificial Intelligence in Medicine|June 17, 2026
Can one model fit all? Evaluating foundation models for time series forecasting across clinical medicineGernot Pucher, Amin Dada, Aurel Agbodoyetin, et al.
European Radiology|July 28, 2023
Information extraction from weakly structured radiological reports with natural language queriesAmin Dada, Tim Leon Ufer, Moon Kim, et al.
Journal of the American Medical Informatics Association : JAMIA|April 7, 2025
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasksFelix J Dorfner, Amin Dada, Felix Busch, et al.
JCO Clinical Cancer Informatics|March 11, 2026
Automated Tumor International Classification of Diseases Coding of Real-World Pathology Reports Using Self-Hosted Large Language ModelsKamyar Arzideh, René Hosch, Amin Turki, et al.
PLOS Digital Health|July 8, 2026
Large language models enable prognostic stratification of cancer patients using real-world clinical notesNiklas Kiermeyer, Tim Lenfers, Amin Dada, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|January 5, 2026
Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal CancerJulius Keyl, René Hosch, Fabian Hörst, et al.
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