Letter challenges use of AI as reference standard in head CT reformatting studies

A response letter in JACR pushes back on treating AI output as ground truth in head CT reformatting research, arguing that accuracy vs. agreement are distinct—and that conflating them undermines study validity. Methodological debate, not new clinical data.

• Correspondence piece responding to a prior JACR publication; no original patient data or sample size reported.
• Core argument: using AI as a reference standard conflates agreement (AI-vs-AI consistency) with accuracy (AI-vs-true ground truth), a distinction critical for validating AI diagnostic tools.
• Limitation: perspective/opinion format—no empirical evidence presented to resolve the disagreement; exact methodological critique details not available from the snippet alone.

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