University Hospital Carl Gustav Carus

The future landscape of large language models in medicine

Jan Clusmann, Fiona R. Kolbinger, Hannah Sophie Muti et al.

2023 · 917 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 · 408 Zit.

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.

2024 · 257 Zit.

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

Sarah Haggenmüller, Roman C. Maron, Achim Hekler et al.

2021 · 242 Zit.

Current applications and challenges in large language models for patient care: a systematic review

Felix Busch, Lena Hoffmann, Christopher Rueger et al.

2025 · 188 Zit.

Artificial intelligence and increasing misinformation

Scott Monteith, Tasha Glenn, John Geddes et al.

2023 · 163 Zit.

Joint EANM/SNMMI guideline on radiomics in nuclear medicine

Mathieu Hatt, Aron K. Krizsan, Arman Rahmim et al.

2022 · 143 Zit.

Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis

Fiona R. Kolbinger, Gregory Patrick Veldhuizen, Jiefu Zhu et al.

2024 · 125 Zit.

Adversarial attacks and adversarial robustness in computational pathology

Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen et al.

2022 · 109 Zit.

Large language models streamline automated machine learning for clinical studies

Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia et al.

2024 · 100 Zit.

Large language models for structured reporting in radiology: past, present, and future

Felix Busch, Lena Hoffmann, Daniel Santos et al.

2024 · 92 Zit.

Privacy-preserving large language models for structured medical information retrieval

Isabella C. Wiest, Dyke Ferber, Jiefu Zhu et al.

2024 · 89 Zit.

Reinforcement Learning for Precision Oncology

Jan‐Niklas Eckardt, Karsten Wendt, Martin Bornhäuser et al.

2021 · 85 Zit.

An overview and a roadmap for artificial intelligence in hematology and oncology

Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.

2023 · 82 Zit.

Artificial Intelligence-Assisted Surgery: Potential and Challenges

Sebastian Bodenstedt, Martin Wagner, Beat P. Müller‐Stich et al.

2020 · 80 Zit.