Center for Devices and Radiological Health

Considerations for addressing bias in artificial intelligence for health equity

Michael D. Abràmoff, Michelle E. Tarver, Nilsa Loyo‐Berríos et al.

2023 · 268 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 · 117 Zit.

Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)

Abhinav K. Jha, Tyler Bradshaw, Irène Buvat et al.

2022 · 98 Zit.

Foundational Considerations for Artificial Intelligence Using Ophthalmic Images

Michael D. Abràmoff, Brad Cunningham, Bakul Patel et al.

2021 · 86 Zit.

Assessment of Medical Imaging and Computer-Assist Systems

Robert F. Wagner, Sergey V. Beiden, Gregory Campbell et al.

2002 · 73 Zit.

Surgical stapler-associated fatalities and adverse events reported to the Food and Drug Administration1,2

Lori S. Brown, Eileen K. Woo

2004 · 71 Zit.

Transparency of artificial intelligence/machine learning-enabled medical devices

Aubrey Shick, Christina M. Webber, Nooshin Kiarashi et al.

2024 · 49 Zit.

Challenges in ensuring the generalizability of image quantitation methods for MRI

Kathryn E. Keenan, Jana G. Delfino, Kalina V. Jordanova et al.

2021 · 40 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.