[HTML][HTML] Utilization of machine learning algorithms for the strengthening of HIV testing: a systematic review

M Jaiteh, E Phalane, YA Shiferaw, KA Voet… - Algorithms, 2024 - mdpi.com
Several machine learning (ML) techniques have demonstrated efficacy in precisely
forecasting HIV risk and identifying the most eligible individuals for HIV testing in various …

Artificial intelligence in assisting pathogenic microorganism diagnosis and treatment: a review of infectious skin diseases

R Han, X Fan, S Ren, X Niu - Frontiers in Microbiology, 2024 - frontiersin.org
The skin, the largest organ of the human body, covers the body surface and serves as a
crucial barrier for maintaining internal environmental stability. Various microorganisms such …

Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata

NN Soe, Z Yu, PM Latt, D Lee, JJ Ong, Z Ge, CK Fairley… - BMC medicine, 2024 - Springer
Abstract Background Sexually transmitted infections (STIs) pose a significant global public
health challenge. Early diagnosis and treatment reduce STI transmission, but rely on …

[HTML][HTML] Using AI to differentiate Mpox from common skin lesions in a sexual health clinic: algorithm development and validation study

NN Soe, Z Yu, PM Latt, D Lee, RS Samra, Z Ge… - Journal of Medical …, 2024 - jmir.org
Background The 2022 global outbreak of mpox has significantly impacted health facilities,
and necessitated additional infection prevention and control measures and alterations to …

User experiences of an AI application for predicting risk of sexually transmitted infections

AJ King, PM Latt, NN Soe, M Temple-Smith… - Digital …, 2024 - journals.sagepub.com
Objective Awareness of one's individual risk of sexually transmitted infections (STIs) and
human immunodeficiency virus (HIV) is a necessary precursor to engagement with …

What Do People Want from an AI-Assisted Screening App for Sexually Transmitted Infection-Related Anogenital Lesions: A Discrete Choice Experiment

NN Soe, PM Latt, A King, D Lee, TR Phillips… - The Patient-Patient …, 2024 - Springer
Background One of the World Health Organization (WHO) recommendations to achieve its
global targets for sexually transmitted infections (STIs) is the increased use of digital …

Preferences for attributes of an artificial intelligence-based risk assessment tool for HIV and sexually transmitted infections: a discrete choice experiment

PM Latt, NN Soe, AJ King, D Lee, TR Phillips, X Xu… - BMC Public Health, 2024 - Springer
Early detection and treatment of HIV and sexually transmitted infections (STIs) are crucial for
effective control. We previously developed MySTIRisk, an artificial intelligence-based risk …

A Perspective on Home-Based Sexual Health Care: Evidence, Access, and Future Directions

CJD Goense, YJ Evers, CJPA Hoebe… - Current HIV/AIDS …, 2025 - Springer
Purpose This perspective explores the impact of home-based sexual health services on
accessibility to STI and HIV testing for priority populations. This study evaluates home-based …

Accuracy of symptom checker for the diagnosis of sexually transmitted infections using machine learning and Bayesian network algorithms

NN Soe, JM Towns, PM Latt, O Woodberry… - BMC Infectious …, 2024 - Springer
Background A significant proportion of individuals with symptoms of sexually transmitted
infection (STI) delay or avoid seeking healthcare, and digital diagnostic tools may prompt …

Exploring the diversity of sexual acts in Chinese men who have sex with men and its impacts on the risk of HIV and sexually transmitted infections

Y Liu, B She, R Zhao, G Li, Y Hu, F Lu, S Su, L Zhang - Public Health, 2025 - Elsevier
Objectives High-risk sexual behaviour contributes to sexually transmitted infections (STIs),
but the diversity of sexual acts in men who have sex with men (MSM) was understudied. We …