Menu
Back to AI and Diagnosis
02/20/26

Economic evaluations of AI applications in radiology: a systematic review.

Gregory, Lucy; Lock, Felicity; Harvey, Hugh; Zanca, Federica. Eur Radiol.

Collection Topics
AI and Diagnosis Business Case for Excellence Tests, Screening, and Laboratory Processes
Share

Most recent

Emergency department revisit quality review screening: exploring human decision-making and artificial intelligence support.

Handler, Robles-Granda, Mefford, et al., arXiv
09/09/26 AI and Diagnosis Measurement, Monitoring, and Event Analysis

A five-phase evaluation framework for diagnostic and predictive medical artificial intelligence.

Ye, Chen, Huang, et al., NPJ Digit Med.
09/03/26 AI and Diagnosis

A detection, diagnostic, and triage AI buyer’s guide: questions that matter.

Baird, Bernstein, Chambers, et al., J Digit Imaging Inform Med.
09/03/26 AI and Diagnosis Culture, Work System, and Implementation

Summary

AI in radiology has potential to improve diagnostic excellence, but limited cost-effectiveness data slows adoption. This review analyzes economic evaluations of radiology AI, highlighting inconsistent outcome measures and calling for standard metrics to enhance comparability, research, and responsible implementation in imaging services.

Read the paper
Gregory L, Lock F, Harvey H, et al. Economic evaluations of AI applications in radiology: a systematic review. Eur Radiol. 2026;36(7):6193-6203.