Office of Science
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study
Arya Rao, Michael Pang, John Kim et al.
2023 · 355 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 · 117 Zit.
Assessment of Medical Imaging and Computer-Assist Systems
Robert F. Wagner, Sergey V. Beiden, Gregory Campbell et al.
2002 · 73 Zit.
The average receiver operating characteristic curve in multireader multicase imaging studies
W Chen, F. W. Samuelson
2014 · 37 Zit.
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
Usman Mahmood, Amita Shukla‐Dave, Heang‐Ping Chan et al.
2024 · 31 Zit.
Regulatory considerations for medical imaging AI/ML devices in the United States: concepts and challenges
Nicholas Petrick, Weijie Chen, Jana G. Delfino et al.
2023 · 29 Zit.
Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging
Damini Dey, Rima Arnaout, Sameer Antani et al.
2023 · 28 Zit.
Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science
Magnus Gray, Ravi K. Samala, Qi Liu et al.
2023 · 26 Zit.
Machine learning with multimodal data for COVID-19
Weijie Chen, Rui Carlos Sá, Yuntong Bai et al.
2023 · 25 Zit.
The lucent yet opaque challenge of regulating artificial intelligence in radiology
James Hillis, Jacob J. Visser, Edward R. Scheffer Cliff et al.
2024 · 21 Zit.
AI and machine learning in medical imaging: key points from development to translation
Ravi K. Samala, Karen Drukker, Amita Shukla‐Dave et al.
2024 · 20 Zit.
Primary care provider perspectives on the value of opportunistic CT screening
Adam E. M. Eltorai, Suzannah E. McKinney, Marcio Aloísio Bezerra Cavalcanti Rockenbach et al.
2024 · 10 Zit.
An FDA Guide on Indications for Use and Device Reporting of Artificial Intelligence-Enabled Devices: Significance for Pediatric Use
Brandon Nelson, Rongping Zeng, Marla B. K. Sammer et al.
2023 · 9 Zit.
Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models
Katherine Elfer, Emma Gardecki, Víctor García et al.
2024 · 8 Zit.
Discussion on “Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep” by Jean Feng, Scott Emerson, and Noah Simon
Gene Pennello, Berkman Sahiner, Alexej Gossmann et al.
2020 · 6 Zit.