Helmholtz Zentrum München
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The future landscape of large language models in medicine
Jan Clusmann, Fiona R. Kolbinger, Hannah Sophie Muti et al.
2023 · 917 Zit.
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.
2021 · 822 Zit.
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Paul Hager, Friederike Jungmann, Robbie Holland et al.
2024 · 521 Zit.
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.
2025 · 289 Zit.
Generative artificial intelligence empowers digital twins in drug discovery and clinical trials
Maria Bordukova, Nikita Makarov, Raul Rodriguez‐Esteban et al.
2023 · 193 Zit.
Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning
Manuel Huber, Christoph Kurz, Reiner Leidl
2019 · 118 Zit.
Radiomics in radiooncology – Challenging the medical physicist
Jan C. Peeken, Michael Bernhofer, Benedikt Wiestler et al.
2018 · 99 Zit.
Labelling instructions matter in biomedical image analysis
Tim Rädsch, Annika Reinke, Vivienn Weru et al.
2023 · 78 Zit.
Reconciling privacy and accuracy in AI for medical imaging
Alexander Ziller, Tamara T. Mueller, Simon Stieger et al.
2024 · 58 Zit.
The AIMe registry for artificial intelligence in biomedical research
Julian Matschinske, Nicolás Alcaraz, Arriel Benis et al.
2021 · 58 Zit.
A platform for the biomedical application of large language models
Sebastian Lobentanzer, Shaohong Feng, Noah Bruderer et al.
2025 · 48 Zit.
Machine Learning for Health: Algorithm Auditing & Quality Control
Luis Oala, Andrew G. Murchison, Pradeep Balachandran et al.
2021 · 47 Zit.
Clinical validation of saliency maps for understanding deep neural networks in ophthalmology
Murat Seçkin Ayhan, Louis Kümmerle, Laura Kühlewein et al.
2022 · 44 Zit.
Multi-disciplinary fairness considerations in machine learning for clinical trials
Isabel Chien, Nina Deliu, Richard E. Turner et al.
2022 · 26 Zit.
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health
Albarqouni, Shadi, Shadi Albarqouni, M. Jorge Cardoso et al.
2021 · 21 Zit.