AI Model Achieves 85% Accuracy In Skin Disease Detection
New AI model achieves 85% accuracy in skin disease detection using DINOv2-Large vision transformer on 3 major datasets: HAM10000 (0.85), DermNet (0.71), ISIC Atlas (0.84).
This is a Plain English Papers summary of a research paper called New AI Model Sets Benchmark for Skin Disease Detection with 85% Accuracy. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Study analyzes methods in skin disease classification using AI Identifies problems in current research practices Tests DINOv2-Large vision transformer on 3 major datasets Achieves F1-scores: HAM10000 (0.85), DermNet (0.71), ISIC Atlas (0.84) Provides recommendations for clinical AI deployment Makes code available on GitHub for reproducibility...