Exploring artificial intelligence for differentiating early syphilis from other skin lesions: a pilot study

Exploring artificial intelligence for differentiating early syphilis from other skin lesions: a pilot study

Abstract Background Early diagnosis of syphilis is vital for its effective control. This study aimed to develop an Artificial Intelligence (AI) diagnostic model based on radiomics technology to distinguish early syphilis from other clinical skin lesions. Methods The study collected 260 images of ski...

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Bibliographic Details
Main Authors: Jiajun Sun, Yingping Li, Zhen Yu, Janet M. Towns, Nyi N. Soe, Phyu M. Latt, Lin Zhang, Zongyuan Ge, Christopher K. Fairley, Jason J. Ong, Lei Zhang
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Infectious Diseases
Subjects:
Radiomics
Artificial Intelligence
Early Syphilis
Skin Lesions
Sexually Transmitted Infection
Machine Learning
Online Access:https://doi.org/10.1186/s12879-024-10438-5

Internet

https://doi.org/10.1186/s12879-024-10438-5

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