Center for Devices and Radiological Health
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Thomas Schaffter, Diana S.M. Buist, Christoph I. Lee et al.
2020 · 409 Zit.
Considerations for addressing bias in artificial intelligence for health equity
Michael D. Abràmoff, Michelle E. Tarver, Nilsa Loyo‐Berríos et al.
2023 · 285 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 · 125 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 · 124 Zit.
Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)
Abhinav K. Jha, Tyler Bradshaw, Irène Buvat et al.
2022 · 103 Zit.
Foundational Considerations for Artificial Intelligence Using Ophthalmic Images
Michael D. Abràmoff, Brad Cunningham, Bakul Patel et al.
2021 · 90 Zit.
Assessment of Medical Imaging and Computer-Assist Systems
Robert F. Wagner, Sergey V. Beiden, Gregory Campbell et al.
2002 · 73 Zit.
Transparency of artificial intelligence/machine learning-enabled medical devices
Aubrey Shick, Christina M. Webber, Nooshin Kiarashi et al.
2024 · 58 Zit.
Challenges in ensuring the generalizability of image quantitation methods for MRI
Kathryn E. Keenan, Jana G. Delfino, Kalina V. Jordanova et al.
2021 · 42 Zit.
From Data to Deployment
Eliot R. Dow, Tiarnán D L Keenan, Eleonora M. Lad et al.
2022 · 40 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 · 36 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 · 34 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 · 30 Zit.
Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging
Damini Dey, Rima Arnaout, Sameer Antani et al.
2023 · 28 Zit.
Machine learning with multimodal data for COVID-19
Weijie Chen, Rui Carlos Sá, Yuntong Bai et al.
2023 · 25 Zit.