This paper is in the following e-collection/theme issue:

Artificial Intelligence (1723) Clinical Information and Decision Making (1647) Machine Learning (1730) Infectious Diseases (non-STD/STI) (1656)

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

Authors of this article:

Nyi Nyi Soe1, 2 Author Orcid Image ;   Zhen Yu1, 3 Author Orcid Image ;   Phyu Mon Latt1, 2 Author Orcid Image ;   David Lee4 Author Orcid Image ;   Ranjit Singh Samra5 Author Orcid Image ;   Zongyuan Ge3 Author Orcid Image ;   Rashidur Rahman4 Author Orcid Image ;   Jiajun Sun1, 2 Author Orcid Image ;   Jason J Ong2, 4 Author Orcid Image ;   Christopher K Fairley2, 4 Author Orcid Image ;   Lei Zhang1, 2, 6 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics
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Brian Meshkin Brian Meshkin @meshkin

Using #AI to Differentiate Mpox From Common Skin Lesions in a Sexual %Health Clinic: #Algorithm Development and Validation Study https://t.co/hNs9YYiZPW

7:35 PM · Sep 17, 2024

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Lei Zhang (Monash University) Lei Zhang (Monash University) @Prof_Lei_Zhang

Another application of AI on infectious diseases: our study demonstrated it was possible to use an AI-based image recognition algorithm to accurately differentiate between Mpox and common skin lesions. @MonashSTM @MSHCResearch https://t.co/oPtfR56Dw8

12:27 PM · Oct 28, 2024

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