Comparative evaluation of AI algorithms for dermoscopic image analysis in skin disease diagnosis: a systematic review of model accuracy and methodological heterogeneity | Synapse
March 3, 2026
Comparative evaluation of AI algorithms for dermoscopic image analysis in skin disease diagnosis: a systematic review of model accuracy and methodological heterogeneity
Key Points
Diagnosis accuracy for skin diseases varies significantly among AI algorithms, indicating uneven performance.
Key metrics show that some AI models achieve up to 90% accuracy, while others are less reliable.
Systematic review of multiple AI algorithms for dermoscopic image analysis was conducted to evaluate performance.
Findings highlight the need for standardization in AI models to improve diagnostic reliability across platforms.