AI Accurately Predicts Skin Cancer Risk Based on 2D Facial Images
Source: AJMC, March 2024
An artificial intelligence (AI) mode was more accurate in assessing patient risks for skin cancer through the analysis of 2D facial images compared with more traditional risk-factor screening.
A network-based, neural, explainable artificial intelligence (XAI) approach showcased a superior capacity to predict skin cancer by analyzing two-dimensional (2D) facial images compared with other known risk factors, according to a recent study published in eClinicalMedicine.
Skin cancer is the most prevalent cancer affecting those with lighter skin tones. With rates of melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC) on the rise—and with this trend expected to continue—improved detection of skin cancer is a pressing public health concern. Methods that lead to earlier detection can prompt the initiation of treatment and help patients avoid late-stage cancer progression.