Use of AI in Identification of Sexually Transmitted Infections and Anogenital Dermatoses
The findings suggest that AI shows promise in identifying STIs and anogenital dermatoses but that significant research gaps exist. Future work should prioritize understudied STIs and differential conditions while improving data quality, conducting external validation, and validating findings in clinical settings.
Authors
- Cheryl Johnson (ORCID: https://orcid.org/0000-0001-5499-5523)
- Ismaël Maatouk (ORCID: https://orcid.org/0000-0003-1008-7413)
- Jason J. Ong (ORCID: https://orcid.org/0000-0001-5784-7403)
- Nyi Nyi Soe (ORCID: https://orcid.org/0009-0001-4554-3549)
- Remco P. H. Peters (ORCID: https://orcid.org/0000-0003-2124-7275)
- Purvi Shah (ORCID: https://orcid.org/0000-0003-1560-3202)
- Phyu Mon Latt (ORCID: https://orcid.org/0000-0001-5880-5731)
- Christopher Kincaid Fairley (ORCID: https://orcid.org/0000-0001-9081-1664)
- Lorenzo Subissi (ORCID: https://orcid.org/0000-0001-5147-575X)
- Lei Zhang (ORCID: https://orcid.org/0000-0002-3372-6321)
- Eric P.F. Chow
- Ingsun Isika Kusnandar
Institutions
- The University of Melbourne (AU)
- London School of Hygiene & Tropical Medicine (GB)
- Melbourne Sexual Health Centre (AU)
- World Health Organization (CH)
- Second Affiliated Hospital of Xi'an Jiaotong University (CN)
- UNICEF East Asia and Pacific Regional Office (TH)
- Alfred Health (AU)
- Monash University (AU)
- Xi'an Jiaotong University (CN)
- The University of Notre Dame Australia (AU)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2025-10-03
- DOI
- https://doi.org/10.1001/jamanetworkopen.2025.33512
- Citations
- 3
- Primary Topic
- Genital Health and Disease
- Type
- article
- Field-Weighted Citation Impact
- 6.02
Funders
- Medical Research Council
- National Health and Medical Research Council