Skip to main content

MINI REVIEW article

Front. Microbiol.
Sec. Systems Microbiology
Volume 15 - 2024 | doi: 10.3389/fmicb.2024.1467113
This article is part of the Research Topic Artificial Intelligence in Pathogenic Microorganism Research View all 6 articles

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

Provisionally accepted
Renjie Han Renjie Han 1,2Xinyun Fan Xinyun Fan 1,2Shuyan Ren Shuyan Ren 1,2Xueli Niu Xueli Niu 1,2*
  • 1 Department of Dermatology, The First Hospital of China Medical University, Shenyang, China
  • 2 Key Laboratory of Immunodermatology, Ministry of Education and NHC; National joint Engineering Research Center for Theranostics of Immunological Skin Diseases, Shenyang, China

The final, formatted version of the article will be published soon.

    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 as bacteria, fungi, and viruses reside on the skin surface, and densely arranged keratinocytes exhibit inhibitory effects on pathogenic microorganisms. The skin is an essential barrier against pathogenic microbial infections, many of which manifest as skin lesions. Therefore, the rapid diagnosis of related skin lesions is of utmost importance for early treatment and intervention of infectious diseases. With the continuous rapid development of artificial intelligence, significant progress has been made in healthcare, transforming healthcare services, disease diagnosis, and management, including a significant impact in the field of dermatology. In this review, we provide a detailed overview of the application of artificial intelligence in skin and sexually transmitted diseases caused by pathogenic microorganisms, including auxiliary diagnosis, treatment decisions, and analysis and prediction of epidemiological characteristics.

    Keywords: artificial intelligence, Pathogenic microorganisms, Infectious skin diseases, auxiliary diagnosis, treatment decisions

    Received: 19 Jul 2024; Accepted: 27 Sep 2024.

    Copyright: © 2024 Han, Fan, Ren and Niu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xueli Niu, Department of Dermatology, The First Hospital of China Medical University, Shenyang, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.