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人工智能在美容皮肤科中的应用。

Artificial intelligence in cosmetic dermatology.

机构信息

Skin Laser and Surgery Specialists: A Division of Schweiger Dermatology Group, Hackensack, New Jersey, USA.

Icahn School of Medicine at Mt. Sinai, New York, New York, USA.

出版信息

J Cosmet Dermatol. 2024 Oct;23(10):3305-3311. doi: 10.1111/jocd.16538. Epub 2024 Aug 27.

DOI:10.1111/jocd.16538
PMID:39188183
Abstract

BACKGROUND

Cosmetic dermatology is a growing field as more patients are seeking treatments for esthetic concerns. Traditionally, practitioners and patients utilize their own perceptions, current beauty standards, and manual observation to determine their satisfaction with cosmetic interventions. Artificial intelligence (AI) can be introduced into cosmetic dermatology to provide objective data-driven recommendations to both dermatologists and patients.

OBJECTIVE

The purpose of this paper is to compose a unified review that illustrates the various facets of artificial intelligence and formulate a hypothesis regarding the new implications of artificial intelligence in cosmetic dermatology specifically.

METHODS

A comprehensive search on PubMed was conducted to identify the available information related to AI in cosmetic dermatology. The search was conducted using a combination of keywords including "cosmetic dermatology" and "artificial intelligence."

RESULTS

The current literature indicates that AI models offer personalized, efficient, and result-driven outputs that can enhance cosmetic outcomes, patient satisfaction, and overall experience.

CONCLUSION

Artificial intelligence integration in cosmetic dermatology shows a promising future, offering the ability to analyze vast data sets and deliver a tailored patient experience. By incorporating AI into cosmetic dermatology, there is an opportunity to balance evidence-based decision-making with the artistic human touch of cosmetic dermatologists.

摘要

背景

随着越来越多的患者寻求美容治疗,美容皮肤科领域正在不断发展。传统上,医生和患者依靠自己的认知、当前的审美标准和手动观察来判断对美容干预的满意度。人工智能(AI)可被引入美容皮肤科,为皮肤科医生和患者提供客观的、数据驱动的建议。

目的

本文旨在综合综述人工智能的各个方面,并提出一个关于人工智能在美容皮肤科中具体新影响的假设。

方法

我们在 PubMed 上进行了全面检索,以确定与美容皮肤科人工智能相关的可用信息。检索使用了“美容皮肤科”和“人工智能”等关键词的组合。

结果

目前的文献表明,人工智能模型可提供个性化、高效和结果驱动的输出,从而提高美容效果、患者满意度和整体体验。

结论

人工智能在美容皮肤科中的整合展现出广阔的前景,为分析大量数据集和提供定制化的患者体验提供了可能。将 AI 融入美容皮肤科,为基于证据的决策和美容皮肤科医生的艺术化手法之间提供了平衡的机会。

相似文献

1
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.
2
The role of artificial intelligence in cosmetic dermatology-Current, upcoming, and future trends.人工智能在美容皮肤科中的作用——当前、即将出现的及未来趋势。
J Cosmet Dermatol. 2021 Jan;20(1):48-52. doi: 10.1111/jocd.13797. Epub 2020 Nov 5.
3
Artificial intelligence in cosmetic dermatology: An update on current trends.人工智能在美容皮肤科中的应用:当前趋势的更新。
Clin Dermatol. 2024 May-Jun;42(3):216-220. doi: 10.1016/j.clindermatol.2023.12.015. Epub 2024 Jan 4.
4
Ethical considerations for artificial intelligence in dermatology: a scoping review.人工智能在皮肤科应用的伦理考量:范围综述。
Br J Dermatol. 2024 May 17;190(6):789-797. doi: 10.1093/bjd/ljae040.
5
Perceptions of Artificial Intelligence Integration into Dermatology Clinical Practice: A Cross-Sectional Survey Study.人工智能融入皮肤科临床实践的认知:一项横断面调查研究。
J Drugs Dermatol. 2022 Feb 1;21(2):135-140. doi: 10.36849/jdd.6398.
6
Informing a position statement on the use of artificial intelligence in dermatology in Australia.为澳大利亚皮肤科人工智能使用立场声明提供信息。
Australas J Dermatol. 2023 Feb;64(1):e11-e20. doi: 10.1111/ajd.13946. Epub 2022 Nov 15.
7
Exploring the landscape of AI adoption in cosmetic medicine and surgery: Insights from the 25th IMCAS Congress (International Master Course in Aging Science).探索人工智能在美容医学和外科领域的应用:第 25 届 IMCAS 大会(国际衰老科学大师课程)的洞察。
J Cosmet Dermatol. 2024 Aug;23(8):2673-2675. doi: 10.1111/jocd.16316. Epub 2024 May 7.
8
Hybrid cosmetic dermatology: AI generated horizon.混合性美容皮肤科:人工智能创造的前景。
Skin Res Technol. 2024 May;30(5):e13721. doi: 10.1111/srt.13721.
9
Dermatology and artificial intelligence.皮肤病学与人工智能。
Clin Dermatol. 2024 May-Jun;42(3):207-209. doi: 10.1016/j.clindermatol.2023.12.014. Epub 2024 Jan 4.
10
Bioethical Conflicts in Current Dermatology: A Narrative Review.当前皮肤病学中的生物伦理冲突:叙事性综述。

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Enhancing skin lesion classification: a CNN approach with human baseline comparison.增强皮肤病变分类:一种与人类基线比较的卷积神经网络方法。
PeerJ Comput Sci. 2025 Apr 15;11:e2795. doi: 10.7717/peerj-cs.2795. eCollection 2025.
2
Transforming Aesthetic Dermatology: The Role of Artificial Intelligence in Skin Health.变革性美学皮肤病学:人工智能在皮肤健康中的作用。
Dermatol Ther (Heidelb). 2025 Jun 22. doi: 10.1007/s13555-025-01459-2.
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Artificial Intelligence in the Evolution of Customized Skincare Regimens.定制化护肤方案发展中的人工智能
Cureus. 2025 Apr 18;17(4):e82510. doi: 10.7759/cureus.82510. eCollection 2025 Apr.
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Biomimetics (Basel). 2025 Apr 2;10(4):217. doi: 10.3390/biomimetics10040217.
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Transforming Aesthetic Medicine With Generative Artificial Intelligence.用生成式人工智能变革美容医学。
J Cosmet Dermatol. 2025 Feb;24(2):e70015. doi: 10.1111/jocd.70015.
6
AI in Aesthetic/Cosmetic Dermatology: Current and Future.人工智能在美容皮肤科的现状与未来
J Cosmet Dermatol. 2025 Jan;24(1):e16640. doi: 10.1111/jocd.16640. Epub 2024 Nov 7.