University of Geneva
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review
Madison Milne‐Ives, Caroline de Cock, Ernest Lim et al.
2020 · 515 Zit.
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.
2023 · 376 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 338 Zit.
Considerations for ethics review of big data health research: A scoping review
Marcello Ienca, Agata Ferretti, Samia Hurst et al.
2018 · 250 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2024 · 154 Zit.
Artificial intelligence and the doctor–patient relationship expanding the paradigm of shared decision making
Giorgia Lorenzini, Laura Arbelaez Ossa, David Shaw et al.
2023 · 132 Zit.
BIAS: Transparent reporting of biomedical image analysis challenges
Lena Maier‐Hein, Annika Reinke, Michal Kozubek et al.
2020 · 120 Zit.
Strategies for health data exchange for secondary, cross-institutional clinical research
Bernice S. Elger, Jimison Iavindrasana, Luigi Lo Iacono et al.
2010 · 92 Zit.
The state of research on cyberattacks against hospitals and available best practice recommendations: a scoping review
Salem Argaw, Nefti-Eboni Bempong, Bruce Eshaya-Chauvin et al.
2019 · 90 Zit.
ChatGPT in glioma adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?
Julien Haemmerli, Lukas Sveikata, Aria Nouri et al.
2023 · 90 Zit.
Ethics review of big data research: What should stay and what should be reformed?
Agata Ferretti, Marcello Ienca, Mark Sheehan et al.
2021 · 88 Zit.
EULAR points to consider for the use of big data in rheumatic and musculoskeletal diseases
Laure Gossec, Joanna Kedra, H. Servy et al.
2019 · 81 Zit.
Re-focusing explainability in medicine
Laura Arbelaez Ossa, Georg Starke, Giorgia Lorenzini et al.
2022 · 80 Zit.
Prompt Engineering Paradigms for Medical Applications: Scoping Review
Jamil Zaghir, Marco Naguib, Mina Bjelogrlic et al.
2024 · 76 Zit.
Assessing the Risk of Bias in Randomized Clinical Trials With Large Language Models
Honghao Lai, Long Ge, Mingyao Sun et al.
2024 · 73 Zit.