Artificial intelligence on inflammatory dermatoses: where we are and where are we going?

IF 3.6 4区医学 Q2 DERMATOLOGY

Anais brasileiros de dermatologia Pub Date : 2025-07-18 DOI:10.1016/j.abd.2025.501164

Dimitri Luz F. Silva , Rafael Rubinho , Ariany Denofre , Sandra Avila , Renata Ferreira Magalhães

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Abstract

Background

Artificial intelligence (AI) is increasingly gaining ground in dermatology, with studies reporting accuracy equal to or greater than dermatologists for the diagnosis of skin lesions from clinical and dermoscopic images.¹ AI has been developed and improved constantly for dermatology, however, the focus has been much more on neoplastic diseases, due to their high prevalence and high morbidity.

Objectives

Describe the possible applications of AI in inflammatory dermatoses.

Methods

Articles published between 2013 and 2023 in Medline and Lilacs were retrieved after applying the inclusion and exclusion criteria 19 articles were selected. From each selected article, the necessary information was extracted and with this data, the present review was written.

Results

The first studies on AI in dermatology focused on the diagnosis of neoplasms, especially melanoma, due to the ease of standardization of images, obtaining accuracy equivalent to that of a dermatologist in clinical and dermoscopic lesions. Actually, there are many studies on artificial intelligence in inflammatory dermatosis, such as psoriasis, helping to calculate the PASI, hidradenitis suppurativa, and atopic dematitis.

Study limitations

The limitation of the study is that it is a literature review and because it is an innovative topic with a limited number of studies published in the literature.

Conclusions

Considerable of what is published in the literature is in computer science journals, but it is possible to perceive that there is an important interest in the area and that artificial intelligence will advance to assist dermatologists.

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炎性皮肤病的人工智能：我们在哪里，我们要去哪里？

人工智能（AI）在皮肤病学中越来越受欢迎，研究报告显示，从临床和皮肤镜图像中诊断皮肤病变的准确性等于或高于皮肤科医生人工智能在皮肤病学方面不断发展和完善，然而，由于肿瘤疾病的高患病率和高发病率，人工智能的重点更多地放在肿瘤疾病上。目的探讨人工智能在炎性皮肤病中的应用前景。方法采用纳入和排除标准，检索Medline和Lilacs杂志2013 - 2023年发表的文献19篇。从每篇选定的文章中提取必要的信息，并根据这些数据撰写本综述。结果由于图像易于标准化，人工智能在皮肤科的早期研究主要集中在肿瘤，特别是黑色素瘤的诊断上，在临床和皮肤镜下病变的诊断精度与皮肤科医生相当。实际上，人工智能在炎性皮肤病中的研究很多，比如牛皮癣，帮助计算PASI，化脓性汗腺炎，特应性炎。本研究的局限性在于它是一个文献综述，因为它是一个创新的话题，在文献中发表的研究数量有限。结论：在计算机科学期刊上发表的文献中，有相当一部分是在计算机科学期刊上发表的，但可以看出，该领域有一个重要的兴趣，人工智能将会发展到协助皮肤科医生。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Anais brasileiros de dermatologia DERMATOLOGY-

CiteScore

2.40

自引率

0.00%

发文量

184

审稿时长

32 days

期刊介绍： The journal is published bimonthly and is devoted to the dissemination of original, unpublished technical-scientific study, resulting from research or reviews of dermatological topics and related matters. Exchanges with other publications may be accepted.