Oversight May Be Critical in Patient Acceptance of AI in Radiology - Summary - MDSpire

Oversight May Be Critical in Patient Acceptance of AI in Radiology

  • By

  • Andrea Surnit

  • July 14, 2026

  • 3 min

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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:

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