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This comprehensive review consolidates evidence on AI-based diagnostic tools for anogenital skin conditions, particularly sexually transmitted infections (STIs), revealing promising pooled diagnostic accuracy despite heterogeneous study quality and limited clinical validation.
.mpox detection by AI shows highest pooled sensitivity and specificity, followed by genital herpes, warts, psoriasis, and scabies, marking AI’s potential role in sexual health diagnostics.
