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Universitätsklinikum Aachen

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Swarm Learning for decentralized and confidential clinical machine learning

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An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals

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2023 · 330 Zit.

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

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2025 · 169 Zit.

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

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2024 · 118 Zit.

Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study

Jesper Kers, Roman D. Bülow, Barbara M. Klinkhammer et al.

2021 · 117 Zit.

Adversarial attacks and adversarial robustness in computational pathology

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

2022 · 106 Zit.

Large language models streamline automated machine learning for clinical studies

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

2024 · 96 Zit.

Navigating the European Union Artificial Intelligence Act for Healthcare

Felix Busch, Jakob Nikolas Kather, Christian Johner et al.

2024 · 89 Zit.

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

Felix Busch, Lena Hoffmann, Daniel Santos et al.

2024 · 85 Zit.

Privacy-preserving large language models for structured medical information retrieval

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

2024 · 82 Zit.

Machine learning in neurosurgery: a global survey

Victor E. Staartjes, Vittorio Stumpo, Julius M. Kernbach et al.

2020 · 79 Zit.

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha et al.

2023 · 78 Zit.

Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions

Tianyu Han, Lisa C. Adams, Keno K. Bressem et al.

2024 · 75 Zit.

Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?

Mark Bukowski, Róbert Farkas, Oya Beyan et al.

2020 · 65 Zit.

International pharmacy students' perceptions towards artificial intelligence in medicine—A multinational, multicentre cross‐sectional study

Felix Busch, Lena Hoffmann, Daniel Truhn et al.

2023 · 61 Zit.