University of Copenhagen
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Privacy in the age of medical big data
W. Nicholson Price, I. Glenn Cohen
2018 · 1.342 Zit.
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.164 Zit.
Ethical and legal challenges of artificial intelligence-driven healthcare
Sara Gerke, Timo Minssen, Glenn Cohen
2020 · 932 Zit.
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records
Hans‐Christian Thorsen‐Meyer, Annelaura Bach Nielsen, Anna Pors Nielsen et al.
2020 · 327 Zit.
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.
2025 · 284 Zit.
Big data and black-box medical algorithms
W. Nicholson Price
2018 · 244 Zit.
Can large language models reason about medical questions?
Valentin Liévin, Christoffer Hother, Andreas Geert Motzfeldt et al.
2024 · 241 Zit.
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Andreas Holzinger, Matthias Dehmer, Frank Emmert‐Streib et al.
2021 · 207 Zit.
Machine learning as a supportive tool to recognize cardiac arrest in emergency calls
Stig Nikolaj Fasmer Blomberg, Fredrik Folke, Annette Kjær Ersbøll et al.
2019 · 206 Zit.
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al.
2022 · 200 Zit.
Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care
Sara Gerke, Timo Minssen, I. Glenn Cohen
2020 · 175 Zit.
The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models
Timo Minssen, Effy Vayena, I. Glenn Cohen
2023 · 165 Zit.
The European artificial intelligence strategy: implications and challenges for digital health
I. Glenn Cohen, Theodoros Evgeniou, Sara Gerke et al.
2020 · 161 Zit.
The index of prediction accuracy: an intuitive measure useful for evaluating risk prediction models
Michael W. Kattan, Thomas Alexander Gerds
2018 · 150 Zit.
The risks of using ChatGPT to obtain common safety-related information and advice
Óscar Oviedo-Trespalacios, Amy E. Peden, Tom Cole‐Hunter et al.
2023 · 134 Zit.