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Training Data Tell Us a Lot About Whom Health AI Tools Are Likely to Benefit
1Professor (Adjunct) and Senior Fellow, Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON.
Abstract:
Appropriate training data are a prerequisite for health AI tools. Policy makers, clinicians and patients can assess the datasets used to train AI models as a practical step in determining whom health AI tools are likely to benefit. Analyses of training datasets can help prioritize which health AI tools to validate and help identify where changes are needed to improve the equity of health AI.
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