The state of artificial intelligence for systemic dermatoses: Background and applications for psoriasis, systemic sclerosis, and much more

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
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引用次数: 0

Abstract

Artificial intelligence (AI) has been steadily integrated into dermatology, with AI platforms already attempting to identify skin cancers and diagnose benign versus malignant lesions. Although not as widely known, AI programs have also been utilized as diagnostic and prognostic tools for dermatologic conditions with systemic or extracutaneous involvement, especially for diseases with autoimmune etiologies. We have provided a primer on commonly used AI platforms and the practical applicability of these algorithms in dealing with psoriasis, systemic sclerosis, and dermatomyositis as a microcosm for future directions in the field. With a rapidly changing landscape in dermatology and medicine as a whole, AI could be a versatile tool to support clinicians and enhance access to care.
人工智能在系统性皮肤病中的应用现状:银屑病、系统性硬化症等疾病的背景与应用。
人工智能(AI)已逐步融入皮肤病学,人工智能平台已尝试识别皮肤癌,诊断良性与恶性病变。人工智能程序虽然没有那么广为人知,但也被用作诊断和预后工具,用于治疗全身性或皮肤外受累的皮肤病,尤其是自身免疫性疾病。我们介绍了常用的人工智能平台,以及这些算法在治疗银屑病、系统性硬化症和皮肌炎方面的实际应用,以此作为该领域未来发展方向的缩影。随着皮肤病学和整个医学领域的快速变化,人工智能将成为支持临床医生和提高医疗服务可及性的多功能工具。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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