Abstract
Artificial intelligence–assisted digital review of thyroid FNA cytology improved agreement with consensus diagnoses in higher‐risk Bethesda categories and increased sensitivity for detecting The Bethesda System III+ cases compared with conventional microscopy. Both single‐ and seven‐layer Z‐stack whole‐slide imaging substantially reduced review time, supporting artificial intelligence–assisted digital cytology as a feasible adjunct for improving diagnostic consistency and workflow efficiency.