Artificial Intelligence in the Histopathological Assessment of Non-Neoplastic Skin Disorders: A Narrative Review with Future Perspectives.

Q1 Medicine

Medical sciences (Basel, Switzerland) Pub Date : 2025-06-01 DOI:10.3390/medsci13020070

Mario Della Mura, Joana Sorino, Anna Colagrande, Maged Daruish, Giuseppe Ingravallo, Alessandro Massaro, Gerardo Cazzato, Carmelo Lupo, Nadia Casatta, Domenico Ribatti, Angelo Vacca

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Abstract

Artificial intelligence (AI) is rapidly transforming diagnostic approaches in different fields of medical sciences, demonstrating an emerging potential to revolutionize dermatopathology due to its capacity to process large amounts of data in the shortest possible time, both for diagnosis and research purposes. Different AI models have been applied to neoplastic skin diseases, especially melanoma. However, to date, very few studies have investigated the role of AI in dermatoses. Herein, we provide an overview of the key aspects of AI and its functioning, focusing on medical applications. Then, we summarize all the existing English-language literature about AI applications in the field of non-neoplastic skin diseases: superficial perivascular dermatitis, psoriasis, fungal infections, onychomycosis, immunohistochemical characterization of inflammatory dermatoses, and differential diagnosis between the latter and mycosis fungoides (MF). Finally, we discuss the main challenges related to AI implementation in pathology.

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人工智能在非肿瘤性皮肤疾病组织病理学评估中的应用：展望未来。

人工智能（AI）正在迅速改变医学科学不同领域的诊断方法，显示出彻底改变皮肤病理学的新兴潜力，因为它能够在尽可能短的时间内处理大量数据，用于诊断和研究目的。不同的人工智能模型已经应用于肿瘤性皮肤病，特别是黑色素瘤。然而，迄今为止，很少有研究调查人工智能在皮肤病中的作用。在这里，我们提供了人工智能及其功能的关键方面的概述，重点是医疗应用。然后，我们总结了目前所有关于人工智能在非肿瘤性皮肤病领域应用的英文文献：浅表性血管周围皮炎、银屑病、真菌感染、甲真菌病、炎症性皮肤病的免疫组织化学特征以及后者与蕈样真菌病（MF）的鉴别诊断。最后，我们讨论了与病理学中人工智能实施相关的主要挑战。

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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