
Survey finds most patients support AI in diagnostic imaging but are reluctant about its use in triage decisions.
Key Details
- 1Survey conducted among 200 diagnostic imaging patients at a German academic medical center.
- 292% expect to benefit from AI in healthcare; 87% favor AI for diagnostics.
- 3Only 28% approved AI for triage; 73% of general AI supporters opposed triage use.
- 4Higher education and AI knowledge correlated with greater approval of AI, including for triage.
- 5Most patients prefer AI as a support system for clinicians rather than a substitute.
Why It Matters

Source
Radiology Business
Related News

Study: Computer Vision Models Best LLMs in Chest CT Breast Abnormality Detection
Computer vision models (CVMs) surpass large language models (LLMs) in accurately labeling incidental breast abnormalities on chest CT scans.

Deep Learning Models Rival Radiologists for Pancreatic Cancer Detection on CT
Deep-learning models achieved comparable or superior accuracy to experienced radiologists in detecting pancreatic cancer on CT scans, especially for small tumors.

Radiology AI Devices at Elevated Risk for FDA Recalls, Study Finds
Radiology AI devices are more likely to face FDA recalls, largely due to deviations from intended use and incomplete clinical data.