Sexual health service users’ perspectives on artificial intelligence applications for identification of lesions associated with sexually transmissible infections: A qualitative study

Sexual health service users’ perspectives on artificial intelligence applications for identification of lesions associated with sexually transmissible infections: A qualitative study

Background: Early identification of sexually transmissible infections (STIs) is central to their control by facilitating timely access to healthcare. A web-based sexual health application using artificial intelligence (AI) to identify the risk of a genital or anal lesion being an STI, from a photogr...

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Bibliographic Details
Main Authors: Alicia J King, Nyi Nyi Soe, Phyu Mon Latt, Lei Zhang, Meredith Temple-Smith, Kate Maddaford, Christopher K Fairley, Eric PF Chow, Tiffany R Phillips
Format: Article
Language:English
Published: SAGE Publishing 2025-07-01
Series:Digital Health
Online Access:https://doi.org/10.1177/20552076251361749
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