Research reveals enhanced prediction of abnormal acid reflux through AI metrics, highlighting clinical implications.
While AET remains central, novel physiologic metrics and AI integration substantially enhance prediction of abnormal acid reflux, particularly in patients with borderline findings. The standardization of thresholds and validation in large multicentre studies is required for the establishment of these tools in clinical practice.
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Cho et al. (2026) studied this question.
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