{"title":"Superficial Fungal Infections and Artificial Intelligence: A Review on Current Advances and Opportunities: REVISION.","authors":"Bahareh Hasan Pour","doi":"10.1111/myc.70007","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Superficial fungal infections are among the most common infections in world, they mainly affect skin, nails and scalp without further invasion. Superficial fungal diseases are conventionally diagnosed with direct microscopy, fungal culture or histopathology, treated with topical or systemic antifungal agents and prevented in immunocompetent patients by improving personal hygiene. However, conventional diagnostic tests can be time-consuming, also treatment can be insufficient or ineffective and prevention can prove to be demanding. Artificial Intelligence (AI) refers to a digital system having an intelligence akin to a human being. The concept of AI has existed since 1956, but hasn't been practicalised until recently. AI has revolutionised medical research in the recent years, promising to influence almost all specialties of medicine.</p><p><strong>Objective: </strong>An increasing number of articles have been published about the usage of AI in cutaneous mycoses.</p><p><strong>Methods: </strong>In this review, the key findings of articles about utilisation of AI in diagnosis, treatment and prevention of superficial fungal infections are summarised. Moreover, the need for more research and development is highlighted.</p><p><strong>Results: </strong>Fifty-four studies were reviewed. Onychomycosis was the most researched superficial fungal infection. AI can be used diagnosing fungi in macroscopic and microscopic images and classify them to some extent. AI can be a tool and be used as a part of something bigger to diagnose superficial mycoses.</p><p><strong>Conclusion: </strong>AI can be used in all three steps of diagnosing, treating and preventing. AI can be a tool complementary to the clinician's skills and laboratory results.</p>","PeriodicalId":18797,"journal":{"name":"Mycoses","volume":"68 1","pages":"e70007"},"PeriodicalIF":4.1000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mycoses","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/myc.70007","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DERMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Superficial fungal infections are among the most common infections in world, they mainly affect skin, nails and scalp without further invasion. Superficial fungal diseases are conventionally diagnosed with direct microscopy, fungal culture or histopathology, treated with topical or systemic antifungal agents and prevented in immunocompetent patients by improving personal hygiene. However, conventional diagnostic tests can be time-consuming, also treatment can be insufficient or ineffective and prevention can prove to be demanding. Artificial Intelligence (AI) refers to a digital system having an intelligence akin to a human being. The concept of AI has existed since 1956, but hasn't been practicalised until recently. AI has revolutionised medical research in the recent years, promising to influence almost all specialties of medicine.
Objective: An increasing number of articles have been published about the usage of AI in cutaneous mycoses.
Methods: In this review, the key findings of articles about utilisation of AI in diagnosis, treatment and prevention of superficial fungal infections are summarised. Moreover, the need for more research and development is highlighted.
Results: Fifty-four studies were reviewed. Onychomycosis was the most researched superficial fungal infection. AI can be used diagnosing fungi in macroscopic and microscopic images and classify them to some extent. AI can be a tool and be used as a part of something bigger to diagnose superficial mycoses.
Conclusion: AI can be used in all three steps of diagnosing, treating and preventing. AI can be a tool complementary to the clinician's skills and laboratory results.
期刊介绍：
The journal Mycoses provides an international forum for original papers in English on the pathogenesis, diagnosis, therapy, prophylaxis, and epidemiology of fungal infectious diseases in humans as well as on the biology of pathogenic fungi.
Medical mycology as part of medical microbiology is advancing rapidly. Effective therapeutic strategies are already available in chemotherapy and are being further developed. Their application requires reliable laboratory diagnostic techniques, which, in turn, result from mycological basic research. Opportunistic mycoses vary greatly in their clinical and pathological symptoms, because the underlying disease of a patient at risk decisively determines their symptomatology and progress. The journal Mycoses is therefore of interest to scientists in fundamental mycological research, mycological laboratory diagnosticians and clinicians interested in fungal infections.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
