JMIR Dermatology
JMIR Dermatology is the official journal of the International Society of Digital Health in Dermatology (ISDHD), formerly the International Society of Teledermatology (ISTD).
Editor-in-Chief:
Robert Dellavalle, MD, PhD, MSPH, Professor and Head, Department of Dermatology, University of Minnesota Medical School
CiteScore 1.2
Recent Articles
![An Exploration of Dutch Dermatologists’ Experience and Satisfaction With Teledermatology: Sociotechnical and Complex Adaptive System Perspective Article Thumbnail](https://asset.jmir.pub/assets/1ace3779e45c1f05cc5780bfee2ad8e4.png 480w,https://asset.jmir.pub/assets/1ace3779e45c1f05cc5780bfee2ad8e4.png 960w,https://asset.jmir.pub/assets/1ace3779e45c1f05cc5780bfee2ad8e4.png 1920w,https://asset.jmir.pub/assets/1ace3779e45c1f05cc5780bfee2ad8e4.png 2500w)
Despite the global upscale of teledermatology during the COVID-19 pandemic, persistent barriers, such as the poor anamnesis and photo quality, hinder its effective use in practice. Understanding Dutch dermatologists’ experiences and satisfaction with using the teledermatology system in the Dutch health care system is needed. A holistic evaluation may provide valuable insight to understand how barriers interrelate which is deemed necessary for the innovation of teledermatology in practice.
![NVIDIA’s “Chat with RTX” Custom Large Language Model and Personalized AI Chatbot Augments the Value of Electronic Dermatology Reference Material Article Thumbnail](https://asset.jmir.pub/assets/4c861b89400dca0b3290349eac8403f0.png 480w,https://asset.jmir.pub/assets/4c861b89400dca0b3290349eac8403f0.png 960w,https://asset.jmir.pub/assets/4c861b89400dca0b3290349eac8403f0.png 1920w,https://asset.jmir.pub/assets/4c861b89400dca0b3290349eac8403f0.png 2500w)
This paper demonstrates a new, promising method using generative artificial intelligence (AI) to augment the educational value of electronic textbooks and research papers (locally stored on user’s machine) and maximize their potential for self-study, in a way that goes beyond the standard electronic search and indexing that is already available in all of these textbooks and files. The presented method runs fully locally on the user’s machine, is generally affordable, and does not require high technical expertise to set up and customize with the user’s own content.
![Assessing the Relationship Between Vitiligo and Major Depressive Disorder Severity: Cross-Sectional Study Article Thumbnail](https://asset.jmir.pub/assets/906e91e026cac77543d60a045cf7d3f2.png 480w,https://asset.jmir.pub/assets/906e91e026cac77543d60a045cf7d3f2.png 960w,https://asset.jmir.pub/assets/906e91e026cac77543d60a045cf7d3f2.png 1920w,https://asset.jmir.pub/assets/906e91e026cac77543d60a045cf7d3f2.png 2500w)
Vitiligo, a common dermatological disorder in Saudi Arabia, is associated with significant psychological impacts. This study explores the relationship between vitiligo and the severity of major depressive disorder (MDD), highlighting the broader implications on mental health among affected individuals.
![Efficacy of an Artificial Intelligence App (Aysa) in Dermatological Diagnosis: Cross-Sectional Analysis Article Thumbnail](https://asset.jmir.pub/assets/9952808e622316b00cf0aa0f6fa69198.png 480w,https://asset.jmir.pub/assets/9952808e622316b00cf0aa0f6fa69198.png 960w,https://asset.jmir.pub/assets/9952808e622316b00cf0aa0f6fa69198.png 1920w,https://asset.jmir.pub/assets/9952808e622316b00cf0aa0f6fa69198.png 2500w)
Dermatology is an ideal specialty for artificial intelligence (AI)–driven image recognition to improve diagnostic accuracy and patient care. Lack of dermatologists in many parts of the world and the high frequency of cutaneous disorders and malignancies highlight the increasing need for AI-aided diagnosis. Although AI-based applications for the identification of dermatological conditions are widely available, research assessing their reliability and accuracy is lacking.
![PatientsLikeMe and Online Patient Support Communities in Dermatology Article Thumbnail](https://asset.jmir.pub/assets/ed059f0658ee0d14f9c2ac6bce1e2c5f.png 480w,https://asset.jmir.pub/assets/ed059f0658ee0d14f9c2ac6bce1e2c5f.png 960w,https://asset.jmir.pub/assets/ed059f0658ee0d14f9c2ac6bce1e2c5f.png 1920w,https://asset.jmir.pub/assets/ed059f0658ee0d14f9c2ac6bce1e2c5f.png 2500w)
Online patient-oriented platforms such as PatientsLikeMe (PLM) offer a venue for individuals with various diagnoses to share experiences and build community, though they may not be representative of the larger patient population. This potentially limits generalizability and raises concerns about the spread of misinformation, emphasizing the need for informed use and health care provider engagement.
![Gender Parity Analysis of the Editorial Boards of Influential Dermatology Journals: Cross-Sectional Study Article Thumbnail](https://asset.jmir.pub/assets/49fc37db2226df9d6c6af0b6f3d2a418.png 480w,https://asset.jmir.pub/assets/49fc37db2226df9d6c6af0b6f3d2a418.png 960w,https://asset.jmir.pub/assets/49fc37db2226df9d6c6af0b6f3d2a418.png 1920w,https://asset.jmir.pub/assets/49fc37db2226df9d6c6af0b6f3d2a418.png 2500w)
![Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study Article Thumbnail](https://asset.jmir.pub/assets/c651c490072949ee3c99d8febd7b3be2.png 480w,https://asset.jmir.pub/assets/c651c490072949ee3c99d8febd7b3be2.png 960w,https://asset.jmir.pub/assets/c651c490072949ee3c99d8febd7b3be2.png 1920w,https://asset.jmir.pub/assets/c651c490072949ee3c99d8febd7b3be2.png 2500w)
Dermatologic patient education materials (PEMs) are often written above the national average seventh- to eighth-grade reading level. ChatGPT-3.5, GPT-4, DermGPT, and DocsGPT are large language models (LLMs) that are responsive to user prompts. Our project assesses their use in generating dermatologic PEMs at specified reading levels.
![Online Patient Attitudes Toward Cutaneous Immune-Related Adverse Events Attributed to Nivolumab and Pembrolizumab: Sentiment Analysis Article Thumbnail](https://asset.jmir.pub/assets/3c654b43638cba0cf6090ce8f93544db.png 480w,https://asset.jmir.pub/assets/3c654b43638cba0cf6090ce8f93544db.png 960w,https://asset.jmir.pub/assets/3c654b43638cba0cf6090ce8f93544db.png 1920w,https://asset.jmir.pub/assets/3c654b43638cba0cf6090ce8f93544db.png 2500w)
![Ichthyosiform Lichen Planus Pigmentosus in a 19-Year-Old Male Patient: Case Report Article Thumbnail](https://asset.jmir.pub/assets/182380f5deb36bfe38f84b194cbdd2b8.png 480w,https://asset.jmir.pub/assets/182380f5deb36bfe38f84b194cbdd2b8.png 960w,https://asset.jmir.pub/assets/182380f5deb36bfe38f84b194cbdd2b8.png 1920w,https://asset.jmir.pub/assets/182380f5deb36bfe38f84b194cbdd2b8.png 2500w)
Lichen planus pigmentosus (LPP) is a condition characterized by persistent and asymptomatic brownish-black–to-blue or purple-gray pigmentation, predominantly in the face and sun-exposed areas, commonly in dark-skinned individuals. Several clinical variants of LPP have been reported. However, the ichthyosiform type of LPP has not been reported. We present a 19-year-old male patient who presented with a 7-year history of asymptomatic grayish macules; patches with fine scales on the face, trunk, and upper extremities; and grayish plaques with thick “ichthyosiform” scales on the lower extremities. The diagnosis of LPP was proven by histopathological findings on both the macular and ichthyosiform plaques. Cluster differentiation (CD) 68 stain highlights the same density of pigment-laden macrophages in both the gray macule and the ichthyosiform plaque. The cause of LPP is unknown. Transcription factor anomalies may play a role in increased keratinization of lichen planus lesions. It can be assumed that the mechanism of the altered distribution of keratinization may occur on the ichthyosiform lesions in this patient. The terminology “ichthyosiform lichen planus pigmentosus” is hereby proposed to be added to the clinical variants of LPP.
![The New Media Landscape and Its Effects on Skin Cancer Diagnostics, Prognostics, and Prevention: Scoping Review Article Thumbnail](https://asset.jmir.pub/assets/7ffe2567c11c2ac00568b06e4f3c4674.png 480w,https://asset.jmir.pub/assets/7ffe2567c11c2ac00568b06e4f3c4674.png 960w,https://asset.jmir.pub/assets/7ffe2567c11c2ac00568b06e4f3c4674.png 1920w,https://asset.jmir.pub/assets/7ffe2567c11c2ac00568b06e4f3c4674.png 2500w)
The wide availability of web-based sources, including social media (SM), has supported rapid, widespread dissemination of health information. This dissemination can be an asset during public health emergencies; however, it can also present challenges when the information is inaccurate or ill-informed. Of interest, many SM sources discuss cancer, specifically cutaneous melanoma and keratinocyte cancers (basal cell and squamous cell carcinoma).
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