Universitätsklinikum Aachen

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.

2021 · 820 Zit.

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

Sophie Isabelle Lambert, Murielle Madi, Saša Sopka et al.

2023 · 341 Zit.

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

Felix Busch, Lena Hoffmann, Christopher Rueger et al.

2025 · 183 Zit.

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

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

2024 · 124 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 · 98 Zit.

Navigating the European Union Artificial Intelligence Act for Healthcare

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

2024 · 91 Zit.

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

Felix Busch, Lena Hoffmann, Daniel Santos et al.

2024 · 89 Zit.

Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study

Roman C. Maron, Jochen Utikal, Achim Hekler et al.

2020 · 87 Zit.

Privacy-preserving large language models for structured medical information retrieval

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

2024 · 84 Zit.

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

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

2023 · 79 Zit.

Machine learning in neurosurgery: a global survey

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

2020 · 79 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 · 66 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 · 63 Zit.