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变革性美学皮肤病学:人工智能在皮肤健康中的作用。

Transforming Aesthetic Dermatology: The Role of Artificial Intelligence in Skin Health.

作者信息

Chen Xiang, Zhou Zhaokang, Ding Hui, Zheng Huiying, Ge Yiping

机构信息

Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, 12 Jiangwangmiao Street, Nanjing, 210042, People's Republic of China.

出版信息

Dermatol Ther (Heidelb). 2025 Jun 22. doi: 10.1007/s13555-025-01459-2.

DOI:10.1007/s13555-025-01459-2
PMID:40545501
Abstract

Artificial intelligence (AI) has profoundly impacted various medical fields, including dermatology, which is to a large extent an image-based discipline. Initially applied in general dermatology, AI has expanded into aesthetic dermatology, where it assists in integrating objective approaches with the aesthetic judgment of dermatologists. This review explores the role of AI in aesthetic dermatology, focusing on skin condition assessment, diagnosis, treatment optimization, and patient education, as well as the challenges and future directions in this evolving field.

摘要

人工智能(AI)已对包括皮肤科在内的各个医学领域产生了深远影响,皮肤科在很大程度上是一门基于图像的学科。AI最初应用于普通皮肤科,如今已扩展到美容皮肤科,在其中协助将客观方法与皮肤科医生的审美判断相结合。本综述探讨了AI在美容皮肤科中的作用,重点关注皮肤状况评估、诊断、治疗优化和患者教育,以及这个不断发展的领域中的挑战和未来方向。

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本文引用的文献

1
Evaluating the Impact of BoNT-A Injections on Facial Expressions: A Deep Learning Analysis.评估肉毒杆菌毒素A注射对面部表情的影响:深度学习分析。
Aesthet Surg J. 2024 Dec 12;45(1):NP1-NP7. doi: 10.1093/asj/sjae204.
2
Regulatory considerations for safe and ethical use of augmented reality and virtual reality in dermatology.皮肤科中安全且合乎伦理地使用增强现实和虚拟现实的监管考量
Clin Dermatol. 2025 Mar-Apr;43(2):284-286. doi: 10.1016/j.clindermatol.2024.09.023. Epub 2024 Sep 26.
3
Artificial intelligence in cosmetic dermatology.人工智能在美容皮肤科中的应用。
J Cosmet Dermatol. 2024 Oct;23(10):3305-3311. doi: 10.1111/jocd.16538. Epub 2024 Aug 27.
4
Artificial intelligence to improve filler administration in dermatology.人工智能改善皮肤科填充剂注射
J Cosmet Dermatol. 2024 Sep;23(9):3045-3046. doi: 10.1111/jocd.16472. Epub 2024 Jul 17.
5
Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability.使用ResNet和Swin变压器深度学习模型优化白癜风诊断:性能与可解释性研究
Sci Rep. 2024 Apr 21;14(1):9127. doi: 10.1038/s41598-024-59436-2.
6
ChatGPT as a resource for patient education in cosmetic dermatological procedures: A boon or a bane?ChatGPT作为美容皮肤科手术患者教育的资源:是福音还是祸根?
J Cosmet Dermatol. 2024 Mar;23(3):1085-1086. doi: 10.1111/jocd.16166. Epub 2024 Jan 3.
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Int J Cosmet Sci. 2024 Apr;46(2):199-208. doi: 10.1111/ics.12924. Epub 2023 Dec 11.
8
Artificial intelligence model substantially improves stratum corneum moisture content prediction from visible-light skin images and skin feature factors.人工智能模型大大提高了基于可见光皮肤图像和皮肤特征因素的角质层水分含量预测能力。
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[Phototherapie in Theorie und Praxis].
J Dtsch Dermatol Ges. 2023 Aug;21(8):882-898. doi: 10.1111/ddg.15126_g.
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Phototherapy: Theory and practice.光疗:理论与实践。
J Dtsch Dermatol Ges. 2023 Aug;21(8):882-897. doi: 10.1111/ddg.15126. Epub 2023 Jul 24.