关于炎症性皮肤病的人工智能:我们现在在哪里,我们要去哪里?
Dimitri Luz F Silva1, Rafael Rubinho2, Ariany Denofre3
1Department of Dermatology, Universidade de Santo Amaro, São Paulo, SP, Brazil; Discipline of Dermatology, Universidade de Campinas, Campinas, SP, Brazil.
Anais brasileiros de dermatologia
|July 19, 2025
概括
人工智能 (AI) 在诊断炎症性皮肤疾病方面表现有前途,超越了最初关注皮肤癌的范围. 这篇评论强调了人工智能.
科学领域:
- 皮肤病学 皮肤病学
- 人工智能的人工智能
- 医学成像分析 医学成像分析
背景情况:
- 人工智能 (AI) 的诊断准确度与皮肤病变的皮肤科医生相美.
- 皮肤病学当前的人工智能发展主要针对由于高患病率和发病率而导致的瘤性疾病.
- 焦点正在转向探索AI在其他皮肤病领域的潜力.
研究的目的:
- 审查和描述人工智能在炎症性皮肤病领域的新兴应用.
- 巩固当前关于人工智能在管理非新形成性皮肤疾病中的作用的研究.
主要方法:
- 在Medline和Lilacs数据库中进行了系统的文献搜索.
- 在2013年至2023年间发表的文章使用特定的包含和排除标准进行了选.
- 从19篇选定的文章中提取了信息,以综合审查结果.
主要成果:
- 早期的人工智能皮肤病学研究集中在诸如黑色素瘤之类的瘤上,实现了高诊断准确度.
- 最近的研究越来越多地探讨了AI在炎症性皮肤病中的应用,包括牛皮,补充性水炎和亚托邦性皮肤炎.
- 人工智能工具正在开发,以协助客观评估,例如计算牛皮区域和严重性指数 (PASI) 评分.
结论:
- 这项研究是一项文献综述,承认了AI对炎症性皮肤病的创新性质和有限的发表研究.
- 尽管存在局限性,但皮肤病学对人工智能的兴趣日益增长,未来进步的潜力显著.
- 人工智能即将成为一种有价值的工具,以支持皮肤科医生在临床实践中.
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