A study reveals that patients perceive physicians who use AI—including in radiology— as less competent and trustworthy.
Key Details
- 1University of Würzburg psychologists conducted an experiment with over 1,200 participants.
- 2Physicians who disclosed using AI in any capacity (administrative, diagnostic, therapeutic) were rated as less competent, trustworthy, and empathetic.
- 3Participants expressed less willingness to book appointments with AI-using doctors.
- 4Radiology was cited as a typical AI application within the study context.
- 5Concerns exist that doctors may place blind trust in AI recommendations.
- 6Study published in JAMA Network Open on July 17, 2025.
Why It Matters
Widespread public skepticism towards doctors using AI—including imaging AI—may hinder clinical adoption and patient relationships. Radiology professionals must proactively address these concerns to build trust and highlight AI's potential for improving care.
Source
EurekAlert
Related News
•EurekAlert
UVA's $4M NIH Grant Backs AI to Optimize Cardiac MRI Therapies
UVA secures $4 million NIH funding to develop GenStrain, an AI model using MRI data to personalize cardiac pacing therapies.
•EurekAlert
Machine Learning Models Predict Cancer Risk with Routine Health Data
Researchers developed machine learning models using routinely collected health data to predict individual risk for 20 common cancers, outperforming traditional methods for several cancer types.
•EurekAlert
Duke Receives $25M to Lead National Trustworthy AI Hub for Dementia and Aging
Duke University has launched a $25 million national center to make AI for aging and dementia clinically robust and trustworthy.