AI and Digital Tools in Dermatology: Addressing Access and Misinformation.

Q3 Medicine
JMIR dermatology Pub Date : 2026-02-20 DOI:10.2196/79044
Dominique du Crest, Monisha Madhumita, Wendemagegn Enbiale, Jose Antonio Ruiz Postigo, Josep Malvehy, Shannon Wongvibulsin, Somesh Gupta, Harald Kittler, Charbel Skayem, Anjali Mahto, Adewole S Adamson, Jules B Lipoff, Art Papier, Hugues Cartier, Sébastien Garson, Esther Freeman
{"title":"AI and Digital Tools in Dermatology: Addressing Access and Misinformation.","authors":"Dominique du Crest, Monisha Madhumita, Wendemagegn Enbiale, Jose Antonio Ruiz Postigo, Josep Malvehy, Shannon Wongvibulsin, Somesh Gupta, Harald Kittler, Charbel Skayem, Anjali Mahto, Adewole S Adamson, Jules B Lipoff, Art Papier, Hugues Cartier, Sébastien Garson, Esther Freeman","doi":"10.2196/79044","DOIUrl":null,"url":null,"abstract":"<p><strong>Unlabelled: </strong>Digital dermatology, which is defined as the use of digital technologies that leverage individual- and population-level skin data to improve the diagnosis, treatment, and prevention of skin diseases, has emerged as a critical frontier for bridging persistent gaps in dermatologic care. This transformation holds particular promise for addressing long-standing inequities linked to geography, income, and skin type. According to the Global Burden of Disease 2023 study, skin and subcutaneous diseases remain among the most prevalent global health conditions, contributing substantially to disability-adjusted life years. Digital tools (including teledermatology, artificial intelligence [AI], and large language models) offer new ways to extend diagnosis, education, and patient empowerment to historically underserved populations. However, these same innovations risk amplifying disparities if they are not designed and deployed intentionally. Algorithmic bias, uneven digital access, and the absence of culturally responsive models can undermine progress. In this conceptual and narrative review, we draw on expert dialogues and illustrative literature, including multistakeholder exchanges at the Skin and Digital Summit (2023-2025) and related global forums, to examine how digital dermatology can promote equitable skin health. We focus on 3 interlinked priorities: expanding access through scalable digital platforms, ensuring AI fairness via comprehensive and diverse datasets, and countering dermatological misinformation. Central to the latter is a bot concept described here as a dynamic cycle that analyzes scientific literature; ranks evidence; translates complex research into clear language; and delivers trustworthy, personalized guidance to both consumers and clinicians. By embedding expert oversight and evidence prioritization, such tools can ensure that accurate, actionable information reaches users at the speed and scale of the internet. Drawing on case studies (including lessons from the World Health Organization's AI skin health app) and insights from the Skin and Digital Summit, we highlight both the transformative potential and the ethical complexities of these digital solutions. To navigate this evolving landscape, we propose the concept of radical dermatology, which confronts the reality that big tech is reshaping skin health whether we like it or not and insists that dermatologists and stakeholders lead the transformation through bold collaboration and unwavering clinical relevance.</p>","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"9 ","pages":"e79044"},"PeriodicalIF":0.0000,"publicationDate":"2026-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12923100/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR dermatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/79044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Unlabelled: Digital dermatology, which is defined as the use of digital technologies that leverage individual- and population-level skin data to improve the diagnosis, treatment, and prevention of skin diseases, has emerged as a critical frontier for bridging persistent gaps in dermatologic care. This transformation holds particular promise for addressing long-standing inequities linked to geography, income, and skin type. According to the Global Burden of Disease 2023 study, skin and subcutaneous diseases remain among the most prevalent global health conditions, contributing substantially to disability-adjusted life years. Digital tools (including teledermatology, artificial intelligence [AI], and large language models) offer new ways to extend diagnosis, education, and patient empowerment to historically underserved populations. However, these same innovations risk amplifying disparities if they are not designed and deployed intentionally. Algorithmic bias, uneven digital access, and the absence of culturally responsive models can undermine progress. In this conceptual and narrative review, we draw on expert dialogues and illustrative literature, including multistakeholder exchanges at the Skin and Digital Summit (2023-2025) and related global forums, to examine how digital dermatology can promote equitable skin health. We focus on 3 interlinked priorities: expanding access through scalable digital platforms, ensuring AI fairness via comprehensive and diverse datasets, and countering dermatological misinformation. Central to the latter is a bot concept described here as a dynamic cycle that analyzes scientific literature; ranks evidence; translates complex research into clear language; and delivers trustworthy, personalized guidance to both consumers and clinicians. By embedding expert oversight and evidence prioritization, such tools can ensure that accurate, actionable information reaches users at the speed and scale of the internet. Drawing on case studies (including lessons from the World Health Organization's AI skin health app) and insights from the Skin and Digital Summit, we highlight both the transformative potential and the ethical complexities of these digital solutions. To navigate this evolving landscape, we propose the concept of radical dermatology, which confronts the reality that big tech is reshaping skin health whether we like it or not and insists that dermatologists and stakeholders lead the transformation through bold collaboration and unwavering clinical relevance.

皮肤病学中的人工智能和数字工具:解决访问和错误信息。
未标记:数字皮肤病学被定义为利用数字技术利用个人和人群水平的皮肤数据来改善皮肤病的诊断、治疗和预防,已成为弥合皮肤护理持续差距的关键前沿。这种转变尤其有望解决与地理、收入和肤色相关的长期不平等问题。根据《2023年全球疾病负担》研究,皮肤和皮下疾病仍然是全球最普遍的健康状况之一,在很大程度上导致了残疾调整生命年。数字工具(包括远程皮肤科、人工智能和大型语言模型)为将诊断、教育和患者赋权扩展到历史上服务不足的人群提供了新的途径。然而,如果这些创新不是有意设计和部署的,它们可能会扩大差距。算法偏见、不均衡的数字访问以及缺乏文化响应模式可能会破坏进步。在这一概念性和叙述性回顾中,我们利用专家对话和说明性文献,包括皮肤和数字峰会(2023-2025)和相关全球论坛上的多方利益相关者交流,来研究数字皮肤病学如何促进公平的皮肤健康。我们专注于三个相互关联的优先事项:通过可扩展的数字平台扩大访问,通过全面和多样化的数据集确保人工智能的公平性,以及打击皮肤病学的错误信息。后者的核心是一个机器人概念,这里描述为分析科学文献的动态循环;排名证据;将复杂的研究转化为清晰的语言;并为消费者和临床医生提供值得信赖的个性化指导。通过嵌入专家监督和证据优先级,这些工具可以确保以互联网的速度和规模向用户提供准确、可操作的信息。通过案例研究(包括世界卫生组织人工智能皮肤健康应用程序的经验教训)和皮肤与数字峰会的见解,我们强调了这些数字解决方案的变革潜力和伦理复杂性。为了驾驭这一不断变化的格局,我们提出了激进皮肤病学的概念,它面对的现实是,无论我们喜欢与否,大型科技正在重塑皮肤健康,并坚持皮肤科医生和利益相关者通过大胆的合作和坚定不移的临床相关性来引领变革。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.20
自引率
0.00%
发文量
0
审稿时长
18 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书