University of Zurich

The Medical Segmentation Decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas et al.

2022 · 1.166 Zit.

Cognitive biases associated with medical decisions: a systematic review

Gustavo Saposnik, Donald A. Redelmeier, Christian C. Ruff et al.

2016 · 952 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 · 619 Zit.

Generating scholarly content with ChatGPT: ethical challenges for medical publishing

Michael Liebrenz, Roman Schleifer, Anna Buadze et al.

2023 · 587 Zit.

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

Eirini Arvaniti, Kim S. Fricker, Michaël Moret et al.

2018 · 429 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 376 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 · 241 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 · 216 Zit.

AI model GPT-3 (dis)informs us better than humans

Giovanni Spitale, Nikola Biller‐Andorno, Federico Germani

2023 · 213 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 · 199 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 166 Zit.

Recent Trends and Future Direction of Dental Research in the Digital Era

Tim Joda, Michael M. Bornstein, Ronald E. Jung et al.

2020 · 146 Zit.

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.

2024 · 138 Zit.

Lifecycle Regulation of Artificial Intelligence– and Machine Learning–Based Software Devices in Medicine

Thomas J. Hwang, Aaron S. Kesselheim, Kerstin Noëlle Vokinger

2019 · 138 Zit.