Use of AI in Identification of Sexually Transmitted Infections and Anogenital Dermatoses

What is the diagnostic performance of artificial intelligence (AI) in identifying sexually transmitted infections (STIs) and anogenital dermatoses from clinical images?In this systematic review and meta-analysis of 140 studies, research was dominated by mpox, while other STIs such as syphilis were understudied. AI showed high performance for identifying mpox, herpes simplex, genital warts, psoriasis, and scabies, but these findings were limited by high risk of bias and a lack of clinical validation.The findings suggest that AI shows promise for identifying STIs and anogenital conditions, but research gaps in data quality, validation, and focus on clinically relevant STIs must be addressed to translate these tools into practice.

Corresponding Authors: Nyi Nyi Soe, MPH (drnyinyisoe1989@gmail.com), and Jason J. Ong, PhD (jason.ong@monash.edu), School of Translational Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, 580 Swanston St, Carlton VIC 3053, Australia.

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