Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52490, first published .
Using AI to Differentiate Mpox From Common Skin Lesions in a Sexual Health Clinic: Algorithm Development and Validation Study

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

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

Journals

  1. Soe N, Yu Z, Latt P, Lee D, Ong J, Ge Z, Fairley C, Zhang L. Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata. BMC Medicine 2024;22(1) View
  2. Soe N, Latt P, King A, Lee D, Phillips T, Fairley C, Zhang L, Ong J. What Do People Want from an AI-Assisted Screening App for Sexually Transmitted Infection-Related Anogenital Lesions: A Discrete Choice Experiment. The Patient - Patient-Centered Outcomes Research 2024 View
  3. Soe N, Towns J, Latt P, Woodberry O, Chung M, Lee D, Ong J, Chow E, Zhang L, Fairley C. Accuracy of symptom checker for the diagnosis of sexually transmitted infections using machine learning and Bayesian network algorithms. BMC Infectious Diseases 2024;24(1) View
  4. He S, Zhao J, Chen J, Liang J, Hu X, Zhang X, Zeng H, Sun G. Urogenital Manifestations in Mpox (Monkeypox) Infection: A Comprehensive Review of Epidemiology, Pathogenesis, and Therapeutic Approaches. Infection and Drug Resistance 2025;Volume 18:209 View

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