Jerry Tan, Mark Jean-Aan Koh, Cristian Navarrete-Dechent
{"title":"Dermatology 3.0: New Technologies Transforming the Management of Skin Conditions","authors":"Jerry Tan, Mark Jean-Aan Koh, Cristian Navarrete-Dechent","doi":"10.1002/jvc2.70089","DOIUrl":null,"url":null,"abstract":"<p>Integration of digital technologies in dermatology is revolutionising patient care by increasing accessibility, accuracy and personalisation. This review explores the impact of emerging digital technologies in dermatology, including teledermatology, artificial intelligence (AI), mobile applications, wearable devices and 3D imaging and printing. Teledermatology, using real-time videoconferencing and store-and-forward imaging, has expanded since the COVID-19 pandemic, improving access to dermatologic care in underserved areas. AI-powered algorithms are being increasingly used, particularly in skin cancer detection, by helping clinicians make faster and more accurate diagnosis and treatment decisions in diverse clinical settings. AI is also improving clinical workflows, increasing automation and reducing documentation burden. Mobile health applications, including AI-based tools, are transforming patient self-management and monitoring. Wearable devices enable continuous monitoring of skin health and environmental factors, providing real-time insights into conditions like atopic dermatitis and melanoma. In addition, advances in 3D imaging and printing technologies are enabling for more precise grafts and early detection of skin cancer, leading to improved clinical outcomes. Despite these advancements, significant challenges remain, including automation bias, the need for standardised validation protocols and equitable access across diverse populations. Successful integration of these technologies into clinical practice will require addressing these issues and ensuring data security, improved digital literacy and clear guidelines for their use. Future research should focus on assessing the real-world effectiveness of these technologies and ensuring their equitable use in diverse geographies and patient populations.</p>","PeriodicalId":94325,"journal":{"name":"JEADV clinical practice","volume":"4 S1","pages":"S36-S43"},"PeriodicalIF":0.5000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jvc2.70089","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JEADV clinical practice","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jvc2.70089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Integration of digital technologies in dermatology is revolutionising patient care by increasing accessibility, accuracy and personalisation. This review explores the impact of emerging digital technologies in dermatology, including teledermatology, artificial intelligence (AI), mobile applications, wearable devices and 3D imaging and printing. Teledermatology, using real-time videoconferencing and store-and-forward imaging, has expanded since the COVID-19 pandemic, improving access to dermatologic care in underserved areas. AI-powered algorithms are being increasingly used, particularly in skin cancer detection, by helping clinicians make faster and more accurate diagnosis and treatment decisions in diverse clinical settings. AI is also improving clinical workflows, increasing automation and reducing documentation burden. Mobile health applications, including AI-based tools, are transforming patient self-management and monitoring. Wearable devices enable continuous monitoring of skin health and environmental factors, providing real-time insights into conditions like atopic dermatitis and melanoma. In addition, advances in 3D imaging and printing technologies are enabling for more precise grafts and early detection of skin cancer, leading to improved clinical outcomes. Despite these advancements, significant challenges remain, including automation bias, the need for standardised validation protocols and equitable access across diverse populations. Successful integration of these technologies into clinical practice will require addressing these issues and ensuring data security, improved digital literacy and clear guidelines for their use. Future research should focus on assessing the real-world effectiveness of these technologies and ensuring their equitable use in diverse geographies and patient populations.