United States Food and Drug Administration
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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 · 882 Zit.
Electronic health records to facilitate clinical research
Martín Cowie, Juuso Blomster, Lesley H. Curtis et al.
2016 · 655 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 · 534 Zit.
Artificial intelligence and machine learning in clinical development: a translational perspective
Pratik Shah, Francis Kendall, Sean Khozin et al.
2019 · 486 Zit.
Transparency and reproducibility in artificial intelligence
Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny et al.
2020 · 467 Zit.
Development of metaverse for intelligent healthcare
Ge Wang, Andreu Badal, Xun Jia et al.
2022 · 391 Zit.
Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-Based Care
Abhinav Sharma, Robert A. Harrington, Mark McClellan et al.
2018 · 334 Zit.
Testing and Evaluation of Health Care Applications of Large Language Models
Suhana Bedi, Yutong Liu, Lucy Orr-Ewing et al.
2024 · 315 Zit.
The emerging science of quantitative imaging biomarkers terminology and definitions for scientific studies and regulatory submissions
Larry G. Kessler, Huiman X. Barnhart, Andrew J. Buckler et al.
2014 · 283 Zit.
Considerations for addressing bias in artificial intelligence for health equity
Michael D. Abràmoff, Michelle E. Tarver, Nilsa Loyo‐Berríos et al.
2023 · 267 Zit.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.
2021 · 217 Zit.
FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine
Haider J. Warraich, Troy Tazbaz, Robert M. Califf
2024 · 201 Zit.
A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop
Bibb Allen, Steven E. Seltzer, Curtis P. Langlotz et al.
2019 · 123 Zit.
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment
Karen Drukker, Weijie Chen, Judy Wawira Gichoya et al.
2023 · 114 Zit.
A Nationwide Network of Health AI Assurance Laboratories
Nigam H. Shah, John Halamka, Suchi Saria et al.
2023 · 97 Zit.