The effective detection and monitoring of potentially malignant oral lesions (PMOL) are critical to identifying early‐stage cancer and improving outcomes. In the current study, the authors described cytopathology tools, including… Click to show full abstract
The effective detection and monitoring of potentially malignant oral lesions (PMOL) are critical to identifying early‐stage cancer and improving outcomes. In the current study, the authors described cytopathology tools, including machine learning algorithms, clinical algorithms, and test reports developed to assist pathologists and clinicians with PMOL evaluation.
               
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