Patient Reactions to Artificial Intelligence-Clinician Discrepancies: Web-Based Randomized Experiment.

ABSTRACT:

Background

As the US Food and Drug Administration (FDA)-approved use of artificial intelligence (AI) for medical imaging rises, radiologists are increasingly integrating AI into their clinical practices. In lung cancer screening, diagnostic AI offers a second set of eyes with the potential to detect cancer earlier than human radiologists. Despite AI's promise, a potential problem with its integration is the erosion of patient confidence in clinician expertise when there is a discrepancy between the radiologist's and the AI's interpretation of the imaging findings.

Objective

We examined how discrepancies between AI-derived recommendations and radiologists' recommendations affect patients' agreement with radiologists' recommendations and satisfaction with their radiologists. W

SUBMITTER: Madanay F 

PROVIDER: S-EPMC12141964 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature