Soe NN - Search Results

1

Clinical features-based machine learning models to separate sexually transmitted infections from other skin diagnoses.

Soe NN, Latt PM, Yu Z, Lee D, Kim CM, Tran D, Ong JJ, Ge Z, Fairley CK, Zhang L. Soe NN, et al. J Infect. 2024 Apr;88(4):106128. doi: 10.1016/j.jinf.2024.106128. Epub 2024 Mar 5. J Infect. 2024. PMID: 38452934 Free article.

2

Prevalence of human papillomavirus by geographical regions, sexual orientation and HIV status in China: a systematic review and meta-analysis.

Ma X, Wang Q, Ong JJ, Fairley CK, Su S, Peng P, Jing J, Wang L, Soe NN, Cheng F, Zhang L. Ma X, et al. Among authors: soe nn. Sex Transm Infect. 2018 Sep;94(6):434-442. doi: 10.1136/sextrans-2017-053412. Epub 2018 May 24. Sex Transm Infect. 2018. PMID: 29794242

3

Modelling the Epidemiological Impact and Cost-Effectiveness of PrEP for HIV Transmission in MSM in China.

Zhang L, Peng P, Wu Y, Ma X, Soe NN, Huang X, Wu H, Markowitz M, Meyers K. Zhang L, et al. Among authors: soe nn. AIDS Behav. 2019 Feb;23(2):523-533. doi: 10.1007/s10461-018-2205-3. AIDS Behav. 2019. PMID: 29971734 Free PMC article.

4

Should human papillomavirus vaccination target women over age 26, heterosexual men and men who have sex with men? A targeted literature review of cost-effectiveness.

Soe NN, Ong JJ, Ma X, Fairley CK, Latt PM, Jing J, Cheng F, Zhang L. Soe NN, et al. Hum Vaccin Immunother. 2018;14(12):3010-3018. doi: 10.1080/21645515.2018.1496878. Epub 2018 Sep 11. Hum Vaccin Immunother. 2018. PMID: 30024823 Free PMC article. Review.

5

Assessing the effectiveness of HIV/STI risk communication displays among Melbourne Sexual Health Centre attendees: a cross-sectional, observational and vignette-based study.

Latt PM, Soe NN, Fairley C, Xu X, King A, Rahman R, Ong JJ, Phillips TR, Zhang L. Latt PM, et al. Among authors: soe nn. Sex Transm Infect. 2024 Apr 18;100(3):158-165. doi: 10.1136/sextrans-2023-055978. Sex Transm Infect. 2024. PMID: 38395609 Free PMC article.

6

Identifying Individuals at High Risk for HIV and Sexually Transmitted Infections With an Artificial Intelligence-Based Risk Assessment Tool.

Latt PM, Soe NN, Xu X, Ong JJ, Chow EPF, Fairley CK, Zhang L. Latt PM, et al. Among authors: soe nn. Open Forum Infect Dis. 2024 Jan 8;11(3):ofae011. doi: 10.1093/ofid/ofae011. eCollection 2024 Mar. Open Forum Infect Dis. 2024. PMID: 38440304 Free PMC article.

7

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

Soe NN, Yu Z, Latt PM, Lee D, Ong JJ, Ge Z, Fairley CK, Zhang L. Soe NN, et al. BMC Med. 2024 Jul 18;22(1):296. doi: 10.1186/s12916-024-03512-x. BMC Med. 2024. PMID: 39020355 Free PMC article.

8

Using AI to Differentiate Mpox From Common Skin Lesions in a Sexual Health Clinic: Algorithm Development and Validation Study.

Soe NN, Yu Z, Latt PM, Lee D, Samra RS, Ge Z, Rahman R, Sun J, Ong JJ, Fairley CK, Zhang L. Soe NN, et al. J Med Internet Res. 2024 Sep 13;26:e52490. doi: 10.2196/52490. J Med Internet Res. 2024. PMID: 39269753 Free PMC article.

9

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

King AJ, Latt PM, Soe NN, Temple-Smith M, Fairley CK, Chow EP, Phillips TR. King AJ, et al. Among authors: soe nn. Digit Health. 2024 Oct 18;10:20552076241289646. doi: 10.1177/20552076241289646. eCollection 2024 Jan-Dec. Digit Health. 2024. PMID: 39430696 Free PMC article.

10

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

Soe NN, Latt PM, King A, Lee D, Phillips TR, Fairley CK, Zhang L, Ong JJ. Soe NN, et al. Patient. 2024 Nov 1. doi: 10.1007/s40271-024-00720-8. Online ahead of print. Patient. 2024. PMID: 39485672

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