United States National Library of Medicine
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu et al.
2023 · 2.950 Zit.
Opportunities and challenges for ChatGPT and large language models in biomedicine and health
Shubo Tian, Qiao Jin, Lana Yeganova et al.
2023 · 332 Zit.
The TRIPOD-LLM reporting guideline for studies using large language models
Jack Gallifant, Majid Afshar, Saleem Ameen et al.
2025 · 299 Zit.
The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data
Ron Margolis, Leslie Derr, Michelle Dunn et al.
2014 · 279 Zit.
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine
Qiao Jin, Fangyuan Chen, Yiliang Zhou et al.
2024 · 106 Zit.
Peer review of GPT-4 technical report and systems card
Jack Gallifant, Amelia Fiske, Yulia A. Strekalova et al.
2024 · 90 Zit.
Assessing Inter-Annotator Agreement for Medical Image Segmentation
Feng Yang, Ghada Zamzmi, Sandeep Angara et al.
2023 · 70 Zit.
To do no harm — and the most good — with AI in health care
Carey Beth Goldberg, Laura Adams, David Blumenthal et al.
2024 · 69 Zit.
To Do No Harm — and the Most Good — with AI in Health Care
Carey Goldberg, Laura Adams, David Blumenthal et al.
2024 · 57 Zit.
Data sharing statements for clinical trials: a requirement of the International Committee of Medical Journal Editors
Darren B. Taichman, Peush Sahni, Anja Pinborg et al.
2017 · 50 Zit.
TREC-COVID: Constructing a Pandemic Information Retrieval Test\n Collection
Ellen M. Voorhees, Tasmeer Alam, Steven Bedrick et al.
2020 · 45 Zit.
Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging
Damini Dey, Rima Arnaout, Sameer Antani et al.
2023 · 28 Zit.
Accelerating clinical evidence synthesis with large language models
Zifeng Wang, Lang Cao, Benjamin Danek et al.
2025 · 27 Zit.
Guiding principles for the use of knowledge bases and real-world data in clinical decision support systems: report by an international expert workshop at Karolinska Institutet
Mikael Hoffmann, Robert Vander Stichele, David W. Bates et al.
2020 · 25 Zit.
The TRIPOD-LLM Statement: A Targeted Guideline For Reporting Large Language Models Use
Jack Gallifant, Majid Afshar, Saleem Ameen et al.
2024 · 22 Zit.