University of Zurich
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Preoperative anaemia and postoperative outcomes in non-cardiac surgery: a retrospective cohort study
Khaled M. Musallam, Hani Tamim, Toby Richards et al.
2011 · 1.228 Zit.
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.101 Zit.
Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis
Urs J. Muehlematter, Paola Daniore, Kerstin Noëlle Vokinger
2021 · 595 Zit.
Generating scholarly content with ChatGPT: ethical challenges for medical publishing
Michael Liebrenz, Roman Schleifer, Anna Buadze et al.
2023 · 576 Zit.
Automated Gleason grading of prostate cancer tissue microarrays via deep learning
Eirini Arvaniti, Kim S. Fricker, Michaël Moret et al.
2018 · 420 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 338 Zit.
Considerations for ethics review of big data health research: A scoping review
Marcello Ienca, Agata Ferretti, Samia Hurst et al.
2018 · 250 Zit.
Mitigating bias in machine learning for medicine
Kerstin Noëlle Vokinger, Stefan Feuerriegel, Aaron S. Kesselheim
2021 · 234 Zit.
In AI We Trust Incrementally: a Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions
Andrea Ferrario, Michele Loi, Eleonora Viganò
2019 · 207 Zit.
AI model GPT-3 (dis)informs us better than humans
Giovanni Spitale, Nikola Biller‐Andorno, Federico Germani
2023 · 204 Zit.
Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen et al.
2023 · 185 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2024 · 154 Zit.
Recent Trends and Future Direction of Dental Research in the Digital Era
Tim Joda, Michael M. Bornstein, Ronald E. Jung et al.
2020 · 142 Zit.
Lifecycle Regulation of Artificial Intelligence– and Machine Learning–Based Software Devices in Medicine
Thomas J. Hwang, Aaron S. Kesselheim, Kerstin Noëlle Vokinger
2019 · 136 Zit.
Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care
Fadila Zerka, Samir Barakat, Seán Walsh et al.
2020 · 131 Zit.