This recommended practice delineates an architecture and offers suggestions for enhancing the generalizability of artificial intelligence (AI) models in medical imaging. It encompasses the following components: A review of AI solutions in medical imaging from a generalizability standpoint; processes and specifications for data processing--including data collection to ensure variety and data annotation to attain pristineness; a means of removing compounding factors to mitigate bias across various datasets; specifications for AI modeling that account for small training data, uni/multi-modal data in medical imaging, thereby enabling flexibility for deployment across distinct usage scenarios; approaches for continuous learning and federated learning to enable AI models to adapt to local populations; and evaluation metrics from a generalizability perspective.
- Sponsor Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2023-03-30
Working Group Details
- Society
- IEEE Computer Society
Learn More About IEEE Computer Society - Sponsor Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
AI-MI - Generalized Artificial Intelligence for Medical Imaging
Learn More About AI-MI - Generalized Artificial Intelligence for Medical Imaging - IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Tao Tan
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