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University of Lucerne

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Land: CHTyp: education

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

Xiaoxuan Liu, Livia Faes, Aditya U. Kale et al.

2019 · 1.726 Zit.

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.

2020 · 892 Zit.

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan et al.

2020 · 541 Zit.

Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study

Livia Faes, Siegfried K. Wagner, Dun Jack Fu et al.

2019 · 309 Zit.

Code-free deep learning for multi-modality medical image classification

Edward Korot, Zeyu Guan, Daniel Ferraz et al.

2021 · 166 Zit.

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

Livia Faes, Xiaoxuan Liu, Siegfried K. Wagner et al.

2020 · 150 Zit.

Classification systems for tibial plateau fractures; Does computed tomography scanning improve their reliability?

Alexander Brunner, Monika Horisberger, Benjamin Ulmar et al.

2009 · 106 Zit.

Generative AI entails a credit–blame asymmetry

Sebastian Porsdam Mann, Brian D. Earp, Sven Nyholm et al.

2023 · 84 Zit.

Extension of the CONSORT and SPIRIT statements

Xiaoxuan Liu, Livia Faes, Melanie Calvert et al.

2019 · 64 Zit.

Will AI Replace Ophthalmologists?

Edward Korot, Siegfried K. Wagner, Livia Faes et al.

2020 · 37 Zit.

Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study

Lisa M. Koch, Christian F. Baumgartner, Philipp Berens

2024 · 20 Zit.

Deep Learning Under Scrutiny: Performance Against Health Care Professionals in Detecting Diseases from Medical Imaging - Systematic Review and Meta-Analysis

Livia Faes, Xiaoxuan Liu, Aditya U. Kale et al.

2019 · 17 Zit.

The Next Frontier in Sarcoma Care: Digital Health, AI, and the Quest for Precision Medicine

Bruno Fuchs, Gabriela Studer, Beata Bode‐Lesniewska et al.

2023 · 16 Zit.

Health communication meets artificial intelligence

Nancy Green, Sara Rubinelli, Donia Scott et al.

2013 · 10 Zit.

From Data Integration to Precision Medicine: A Value-Based Healthcare Approach for Sarcoma Care

Bruno Fuchs, Philip Heesen

2024 · 7 Zit.