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03/02/26

Factors for patient trust and acceptance of medical artificial intelligence.

Bracic, Ana; Spector-Bagdady, Kayte; Towle, Sophie; Zhang, Rina; James, Cornelius A; Price, W Nicholson. JAMA Netw Open.

Collection Topics
AI and Diagnosis
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Summary

AI is becoming more common in clinical care, but patient trust remains key to its adoption. A survey using diagnostic scenarios found that clinician involvement, transparent data use, and strong governance boosted patient trust and preference for AI-assisted care. Combining these factors could help AI reach its full impact in healthcare.

Read the paper
Bracic A, Spector-Bagdady K, Towle S, et al. Factors for patient trust and acceptance of medical artificial intelligence. JAMA Netw Open. 2026;9(3):e260815.