Alopecia areata (AA) is a chronic and recurrent disorder resulting in hair loss.
1,2 The extent of hair loss is the most important prognostic factor.
3 Diverse assessment tools have been developed for objective evaluation
4; however, most have limited accuracy and objectivity because of their dependency on naked-eye examination. We postulated that computer-assisted identification of hair loss would enable clinicians to achieve a more accurate assessment and prognostic stratification. This study aimed to develop a deep learning framework to determine the Severity of Alopecia Tool (SALT) score.