University Hospital of Zurich

International consensus statement on the peri‐operative management of anaemia and iron deficiency

Manuel Múñoz, Austin G. Acheson, Michael Auerbach et al.

2016 · 831 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 · 617 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.

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

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.

2024 · 137 Zit.

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care

Fadila Zerka, Samir Barakat, Seán Walsh et al.

2020 · 133 Zit.

Generative artificial intelligence in primary care: an online survey of UK general practitioners

Charlotte Blease, Cosima Locher, Jens Gaab et al.

2024 · 129 Zit.

Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

Burak Koçak, Andrea Ponsiglione, Arnaldo Stanzione et al.

2024 · 124 Zit.

Solving the explainable AI conundrum by bridging clinicians’ needs and developers’ goals

Nadine Bienefeld, J. M. Boss, Rahel Lüthy et al.

2023 · 121 Zit.

Use of artificial intelligence in critical care: opportunities and obstacles

Michael R. Pinsky, Armando Bedoya, Azra Bihorac et al.

2024 · 119 Zit.

Detection and localization of distal radius fractures: Deep learning system versus radiologists

Christian Blüthgen, Anton S. Becker, I. Martini et al.

2020 · 97 Zit.

FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks

Urs J. Muehlematter, Christian Bluethgen, Kerstin Noëlle Vokinger

2023 · 96 Zit.

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

Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.

2023 · 82 Zit.

Machine learning in neurosurgery: a global survey

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

2020 · 79 Zit.

AI support for ethical decision-making around resuscitation: proceed with care

Nikola Biller‐Andorno, Andrea Ferrario, Susanne Joebges et al.

2021 · 58 Zit.

Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools

Pietro Arina, Maciej R. Kaczorek, Daniel A. Hofmaenner et al.

2023 · 55 Zit.