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Abstract Background This study investigates the use and governance of artificial intelligence-derived predictive modeling (AIDPM) in the United States healthcare system. Results There are significant variations in how healthcare systems allocate resources and organize governance structures for AIDPM. A major obstacle is the lack of involvement of frontline clinicians in AIDPM governance. Conclusions Efforts to ensure health equity assessment in AIDPM commonly exclude frontline clinicians and patients, raising questions about the effectiveness of this pillar of AI governance.
Guleria et al. (Thu,) studied this question.