University Hospital Ulm
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Evaluating ChatGPT as an adjunct for the multidisciplinary tumor board decision-making in primary breast cancer cases
Stefan Lukac, Davut Dayan, Visnja Fink et al.
2023 · 110 Zit.
Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging
Daniel Wolf, Tristan Payer, Catharina Silvia Lisson et al.
2023 · 41 Zit.
Enabling personalized perioperative risk prediction by using a machine-learning model based on preoperative data
Martin Graeßner, Bettina Jungwirth, Elke Frank et al.
2023 · 31 Zit.
Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician
Christoph Leinert, Marina Fotteler, Thomas D. Kocar et al.
2023 · 19 Zit.
ResNetFed: Federated Deep Learning Architecture for Privacy-Preserving Pneumonia Detection from COVID-19 Chest Radiographs
Pascal Riedel, Reinhold von Schwerin, Daniel Schaudt et al.
2023 · 19 Zit.
Artificial intelligence in radiology – beyond the black box
Luisa Gallée, Hannah Kniesel, Timo Ropinski et al.
2023 · 15 Zit.
Artificial Intelligence and ChatGPT in Medical Education: A Cross-Sectional Questionnaire on students’ Competence
Laura Maaß, Claudia Grab‐Kroll, Jagger C. Koerner et al.
2024 · 15 Zit.
Proof-of-concept study of a small language model chatbot for breast cancer decision support – a transparent, source-controlled, explainable and data-secure approach
Sebastian Griewing, Fabian Lechner, Niklas Gremke et al.
2024 · 13 Zit.
External peer review of the RTPCR test to detect SARS-CoV-2 reveals 10 major scientific flaws at the molecular and methodological level: consequences for false positive results.
Pieter Borger, Bobby Rajesh Malhotra, Michael Yeadon et al.
2020 · 13 Zit.
Evaluating ChatGPT as an Adjunct for the Multidisciplinary Tumor Board Decision-Making in Primary Breast Cancer Cases
Stefan Lukac, Davut Dayan, Visnja Fink et al.
2023 · 9 Zit.
Leveraging human expert image annotations to improve pneumonia differentiation through human knowledge distillation
Daniel Schaudt, Reinhold von Schwerin, Alexander Hafner et al.
2023 · 7 Zit.
Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality
Dimislav Ivanov Andonov, Bernhard Ulm, Martin Graeßner et al.
2023 · 7 Zit.
Artificial intelligence – the Janus-faced tool in our hands
Nikolaus C. Netzer
2024 · 6 Zit.
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer
Gesa Mittmann, Sara Laiouar-Pedari, Hendrik A. Mehrtens et al.
2025 · 5 Zit.
Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study
Adriane Uihlein, Lisa Beissel, Anna Hanane Ajlani et al.
2024 · 5 Zit.