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IEEE 3350-2025

IEEE Recommended Practice for Improving Generalizability of Artificial Intelligence for Medical Imaging
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IEEE 3350-2025

IEEE Recommended Practice for Improving Generalizability of Artificial Intelligence for Medical Imaging

PUBLISH DATE 2025
PAGES 39
IEEE 3350-2025
New IEEE Standard - Active. The contents of this Recommended Practice delineates an architecture and offers suggestions for enhancing the generalizability of artificial intelligence (AI) models in medical imaging.
This recommended practice delineates an architecture, and offers suggestions for enhancing the generalizability of artificial intelligence models in medical imaging, including specifying the following suggestions:--An overview of AI solutions in medical imaging from a generalizability standpoint.--Processes and specifications for data processing.--A means of removing compounding factors to reduce bias across various data sets; 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.
This recommended practice enables stakeholders to develop robust and generalized artificial intelligence solutions in medical imaging in a controlled manner.
SDO IEEE: Institute of Electrical and Electronics Engineers
Document Number 3350
Publication Date July 11, 2025
Language en - English
Page Count 38
Revision Level
Supercedes
Committee Artificial Intelligence Standards Committee
Publish Date Document Id Type View
July 11, 2025 3350-2025 Revision