Artificial intelligence–assisted digital thyroid FNA cytology: Improved agreement and sensitivity for higher‐risk Bethesda categories with enhanced screening efficiency

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.