Active PAR

P3350

Recommended Practice for Improving Generalizability of Artificial Intelligence for Medical Imaging

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
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Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Working Group
GAIMI - Generalized Artificial Intelligence for Medical Imaging
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IEEE Program Manager
Christy Bahn
Contact
Working Group Chair
Tao Tan

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