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08/19/26

Radiology reporting in the age of artificial intelligence: implications for patient safety.

Toker, Igor; Jansen, Sven; Knoche, Julius; Lorenz, Daniel. BMJ Qual Saf.

Collection Topics
AI and Diagnosis Culture, Work System, and Implementation Measurement, Monitoring, and Event Analysis Tests, Screening, and Laboratory Processes
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Summary

AI-assisted reporting may alter how radiologists detect, interpret, and communicate clinically important findings. This commentary examines implications of AI integration into radiology reporting, emphasizing that automation can introduce new failure modes alongside potential benefits. The authors highlight the need for human oversight, transparent responsibility, appropriate workflow design, and monitoring for errors rather than assuming that AI-generated or AI-supported reports inherently improve diagnostic safety.
Read the paper
Toker I, Jansen S, Knoche J, et al. Radiology reporting in the age of artificial intelligence: implications for patient safety. BMJ Qual Saf. 2026;35(9):649-654.