University of Lucerne
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.