Oversight May Be Critical in Patient Acceptance of AI in Radiology
A UK survey found that patients supported AI as a clinical tool but wanted physicians to remain responsible for medical decisions.
By
Andrea Surnit
July 14, 2026
Objective: To assess patient attitudes toward artificial intelligence (AI) in healthcare, particularly in radiology, and the importance of physician oversight.
Approach: Study Design: 162 patients attending outpatient imaging appointments completed an 18-item questionnaire assessing attitudes toward AI in healthcare.Data Analysis: Exploratory factor analysis was performed to identify underlying themes in patient attitudes, with demographic evaluations.Key Findings: 78% of respondents believed AI would be useful in healthcare. 64% supported the use of AI in healthcare. 71% believed physicians should remain responsible for decisions involving AI. 70% believed AI could reduce healthcare waiting times. 93% considered it important to be treated as a person rather than 'a number'. 50% did not trust a computer to make medical decisions. The researchers identified three principal domains influencing patient attitudes: utility and safety, interaction, and comparability to physicians. Interpretation: Patients value physician oversight in AI applications in radiology and express opposition to autonomous decision-making.
Limitations: Conducted at a single urban UK hospital network, limiting generalizability. Used a convenience sample of outpatient imaging patients. Questionnaire was concise, providing an overview rather than in-depth qualitative assessment. Conclusion: Patients favor AI that supports physician involvement, emphasizing the importance of human aspects in care.
Sources: