University Hospital Carl Gustav Carus
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 · 854 Zit.
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.
2023 · 376 Zit.
Artificial intelligence and increasing misinformation
Scott Monteith, Tasha Glenn, John Geddes et al.
2023 · 145 Zit.
Current applications and challenges in large language models for patient care: a systematic review
Felix Busch, Lena Hoffmann, Christopher Rueger et al.
2025 · 141 Zit.
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis
Fiona R. Kolbinger, Gregory Patrick Veldhuizen, Jiefu Zhu et al.
2024 · 106 Zit.
Adversarial attacks and adversarial robustness in computational pathology
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen et al.
2022 · 102 Zit.
Large language models streamline automated machine learning for clinical studies
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia et al.
2024 · 91 Zit.
Privacy-preserving large language models for structured medical information retrieval
Isabella C. Wiest, Dyke Ferber, Jiefu Zhu et al.
2024 · 80 Zit.
Reinforcement Learning for Precision Oncology
Jan‐Niklas Eckardt, Karsten Wendt, Martin Bornhäuser et al.
2021 · 80 Zit.
Artificial Intelligence-Assisted Surgery: Potential and Challenges
Sebastian Bodenstedt, Martin Wagner, Beat P. Müller‐Stich et al.
2020 · 77 Zit.
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.
2023 · 77 Zit.
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha et al.
2023 · 73 Zit.
Joint Imaging Platform for Federated Clinical Data Analytics
Jonas Scherer, Marco Nolden, Jens Kleesiek et al.
2020 · 70 Zit.
New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology
Bouchra Derraz, Gabrièle Bréda, C. Kaempf et al.
2024 · 69 Zit.
Algorithm Change Protocols in the Regulation of Adaptive Machine Learning–Based Medical Devices
Stephen Gilbert, Matthew Fenech, Martin C. Hirsch et al.
2021 · 67 Zit.