University Hospital of Zurich

Preoperative anaemia and postoperative outcomes in non-cardiac surgery: a retrospective cohort study

Khaled M. Musallam, Hani Tamim, Toby Richards et al.

2011 · 1.229 Zit.

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

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

2016 · 811 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 · 597 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 · 188 Zit.

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

Fadila Zerka, Samir Barakat, Seán Walsh et al.

2020 · 132 Zit.

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

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.

2024 · 124 Zit.

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

Charlotte Blease, Cosima Locher, Jens Gaab et al.

2024 · 120 Zit.

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

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

2023 · 114 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 · 108 Zit.

Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease

Yuka Otaki, Ananya Singh, Paul Kavanagh et al.

2021 · 107 Zit.

Use of artificial intelligence in critical care: opportunities and obstacles

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

2024 · 104 Zit.

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

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

2020 · 95 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 · 85 Zit.

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

Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.

2023 · 80 Zit.

Machine learning in neurosurgery: a global survey

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

2020 · 79 Zit.