Gernot Pucher

Forschungspraktikum, Nachwuchsgruppe Sauer

Institut für Künstliche Intelligenz in der Medizin

Publikationen

2026

Can one model fit all? Evaluating foundation models for time series forecasting across clinical medicine Gernot Pucher, Amin Dada, Aurel Agbodoyetin, Felix Nensa, Martin Schuler, Hans Christian Reinhardt, Jens Kleesiek, Christopher Sauer Artificial Intelligence in Medicine Development and Clinical Validation of a Multimodal AI Framework to Predict Persistent Fever During Antibiotic Therapy in Hospitalized Patients with Cancer Christopher Sauer, Gernot Pucher, Kevin Kopp, Aman Deep, Anna-Maria Stark, Marcel Wiesweg, Martin Schuler, Felix Nensa, Hans Christian Reinhardt, Jens Kleesiek Research Square

2025

Automated CT-based sarcopenia assessment for risk stratification of patients undergoing colorectal cancer resection Johannes Vogelsang, Gernot Pucher, Fabian Hörst, René Hosch, Johannes Haubold, Philipp Keyl, Christopher Sauer, David Albers, Peter Markus, Jan P. Neuhaus, Andreas D. Rink, Jürgen Treckmann, Ulf Peter Neumann, Kai Nassenstein, Michael Forsting, Hideo A. Baba, Jan Egger, Stefan Kasper, Martin Schuler, Felix Nensa, Jens Kleesiek, Julius Keyl Clinical Surgical Oncology Evaluating Zero-Shot Foundation Models for Time Series Forecasting in Clinical Settings: A Simulation Study with Electronic Health Records Gernot Pucher, Amin Dada, Felix Nensa, Martin Schuler, Christian Reinhardt, Jens Kleesiek, Christopher Sauer AI4TS: AI for Time Series Analysis Why implementing machine learning algorithms in the clinic is not a plug-and-play solution: a simulation study of a machine learning algorithm for acute leukaemia subtype diagnosis Gernot Pucher, Till Rostalski, Felix Nensa, Jens Kleesiek, Hans Christian Reinhardt, Christopher Sauer eBioMedicine