A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia.

ABSTRACT: Oral leukoplakia (OL) has an inherent disposition to develop oral cancer. OL with epithelial dysplasia (OED) is significantly likely to undergo malignant transformation; however, routine OED assessment is invasive and challenging. This study investigated whether a deep learning (DL) model can predict dysplasia probability among patients with leukoplakia using oral photographs. In addition, we assessed the performance of the DL model in comparison with clinicians' ratings and in providing decision support on dysplasia assessment. Retrospective images of leukoplakia taken before biopsy/histopathology were obtained to construct the DL model (n = 2,073). OED status following histopathology was used as the gold standard for all images. We first developed, fine-tuned, and internally valid

SUBMITTER: Adeoye J 

PROVIDER: S-EPMC11653265 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature