University of Cambridge
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan et al.
2023 · 2.897 Zit.
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Michael Roberts, Derek Driggs, Matthew Thorpe et al.
2020 · 937 Zit.
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Michael Roberts, Derek Driggs, Matthew Thorpe et al.
2021 · 871 Zit.
AI applications to medical images: From machine learning to deep learning
Isabella Castiglioni, Leonardo Rundo, Marina Codari et al.
2021 · 666 Zit.
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al.
2021 · 657 Zit.
The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
Yuri Yin‐Moe Aung, David Wong, Daniel Shu Wei Ting
2021 · 437 Zit.
Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990–2012) and of latest practices (2017–2018) in high-impact journals
Dénes Szűcs, John P. A. Ioannidis
2020 · 437 Zit.
Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots
Sukhpal Singh Gill, Minxian Xu, Panos Patros et al.
2023 · 429 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 427 Zit.
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative
Charlene Ronquillo, Laura‐Maria Peltonen, Lisiane Pruinelli et al.
2021 · 332 Zit.
ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions
Reza Hadi Mogavi, Chao Deng, Justin Juho Kim et al.
2023 · 301 Zit.
Large language models in health care: Development, applications, and challenges
Rui Yang, Ting Fang Tan, Wei Lu et al.
2023 · 299 Zit.
Artificial intelligence and machine learning in cancer imaging
Dow‐Mu Koh, Nickolas Papanikolaou, Ulrich Bick et al.
2022 · 285 Zit.
Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*
Patrick Thoral, Jan M. Peppink, Ronald H. Driessen et al.
2021 · 242 Zit.
The value of standards for health datasets in artificial intelligence-based applications
Anmol Arora, Joseph Alderman, Joanne Palmer et al.
2023 · 235 Zit.