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

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

Open source

DOI: 10.1177/20552076251361749
Published: 2025-05
Container: DIGITAL HEALTH
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/20552076251361749,
  title = {Sexual health service users’ perspectives on artificial intelligence applications for identification of lesions associated with sexually transmissible infections: A qualitative study},
  author = {Alicia J King and Nyi Nyi Soe and Phyu Mon Latt and Lei Zhang and Meredith Temple-Smith and Kate Maddaford and Christopher K Fairley and Eric PF Chow and Tiffany R Phillips},
  year = {2025},
  journal = {DIGITAL HEALTH},
  doi = {10.1177/20552076251361749},
  url = {https://doi.org/10.1177/20552076251361749}
}

RIS

TY  - JOUR
TI  - Sexual health service users’ perspectives on artificial intelligence applications for identification of lesions associated with sexually transmissible infections: A qualitative study
AU  - Alicia J King
AU  - Nyi Nyi Soe
AU  - Phyu Mon Latt
AU  - Lei Zhang
AU  - Meredith Temple-Smith
AU  - Kate Maddaford
AU  - Christopher K Fairley
AU  - Eric PF Chow
AU  - Tiffany R Phillips
PY  - 2025
JO  - DIGITAL HEALTH
DO  - 10.1177/20552076251361749
UR  - https://doi.org/10.1177/20552076251361749
ER  -

APA

King, A. J., Soe, N. N., Latt, P. M., Zhang, L., Temple-Smith, M., Maddaford, K., Fairley, C. K., Chow, E. P., & Phillips, T. R. (2025). Sexual health service users’ perspectives on artificial intelligence applications for identification of lesions associated with sexually transmissible infections: A qualitative study. DIGITAL HEALTH. https://doi.org/10.1177/20552076251361749

Source records

crossref · retrieved 2026-11-10T10:52:48.084Z