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Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment
117
Zitationen
12
Autoren
2023
Jahr
Abstract
Our findings provide a valuable resource to researchers, clinicians, and the public at large.
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Autoren
Institutionen
- University of Chicago(US)
- Center for Devices and Radiological Health(US)
- Office of Science(US)
- United States Food and Drug Administration(US)
- Emory University(US)
- University of Colorado Anschutz Medical Campus(US)
- Stanford University(US)
- Arizona Department of Education(US)
- University of California, San Diego(US)
- National Institutes of Health(US)
- Thomas Jefferson University Hospital(US)