JMIR Dermatology

Displaced populations face complex dermatologic challenges. Contributing factors include low immunization rates, poor sanitation, crowded living conditions, and physical abuse. Chronic inflammatory conditions and infectious diseases, including fungal infections and scabies, are prevalent. Research is crucial to reduce the spread of disease, improve care in these populations, and develop sustainable frameworks for long-term dermatologic healthcare in crisis settings. The paucity of dermatologist support in this field exacerbates the issue. Ethical considerations include non-maleficence and culturally sensitive practices, and proposed solutions include trauma-informed care training, advocacy for equitable research funding, teledermatology, and the development of shared international screening guidelines. Further research is essential to enhance dermatologic care for displaced populations.

Nonresponse to botulinum toxin (BoNT) type A (BoNT-A) has been reported in medical and aesthetic applications. Secondary nonresponse (SNR) occurs when BoNT-A is initially successful before failure commences at a later point. Most reported cases involve SNR in aesthetics. Several aspects of this complication remain elusive or controversial.

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This study analyzes the most commonly mentioned psoriasis treatments on Facebook and Reddit forums, tracking their popularity over time using Google Trends.

Evidence that artificial intelligence (AI) may improve melanoma detection has led to calls for increased human-AI collaboration in clinical workflows. However, AI-based support may entail a wide range of specific functions for AI. To appropriately integrate AI into decision-making processes, it is crucial to understand the precise role that clinicians see AI playing within their clinical deliberations.

ChatGPT is increasing in use in healthcare. Fields like dermatology and radiology could benefit from use of ChatGPT to help clinicians diagnose skin lesions. This research letter aims to find the accuracy of ChatGPT in diagnosing melanoma based on images. Our analysis indicates that ChatGPT cannot be used reliably to diagnose melanoma and improvements are needed in the program to reach this stage, but it can still help clinicians.

Abstract: Our study evaluates the diagnostic accuracy of ChatGPT-4o in classifying various skin lesions, highlighting its limitations in distinguishing squamous cell carcinoma from basal cell carcinoma using dermatoscopic images.

In this Google Trends cross-sectional analysis, we aim to understand the popularity of tender-headedness by analyzing search queries related to this concept on a major search engine from January 2013 to December 2022. Results suggest that since 2013, Google searches on scalp-related concerns, especially regarding tender-headedness in Black hair culture, have increased. This uncovers an opportunity for dermatologists to utilize culturally relevant language to address scalp concerns in patients with Afro-textured hair.

Cutaneous atrophy resulting from corticosteroid injections for musculoskeletal indications is an underrecognized side effect amongst orthopedists and dermatologists. We present two cases of cutaneous atrophy following corticosteroid injections for tendonitis of the wrist. Patients presenting with cutaneous atrophy following orthopedic corticosteroid injections may be misdiagnosed with linear morphea, atrophoderma, or vascular disorders and receive unnecessary workup and delays in appropriate management. Dermatologists play an essential role in the evaluation of these patients.

Introduction: With Americans spending over two hours daily on social media, platforms like TikTok have become prevalent sources for healthcare information. This study evaluates the quality and quantity of dermatology-related content on TikTok. Methods: In November 2022, TikTok was searched using dermatology-related keywords. Accounts with ≥50% dermatology content were selected. An engagement score was calculated for each account, and the top 10 were further analyzed using DISCERN criteria. The Kruskal-Wallis and Mann-Whitney U tests, along with a two-tailed independent t-test, were employed for statistical analysis. Results: Out of 22,411 videos, 17,085 (76.3%) were informational. Dermatologists led in paid sponsorship videos (65% of 502 videos). Significant differences in engagement scores were found across different provider types, with medical clinics and aestheticians receiving the highest scores. Dermatologist-run accounts had higher views and comments but similar overall DISCERN scores to non-dermatologist accounts. However, dermatologists better referenced treatment uncertainty and explanations, while non-dermatologists more frequently discussed treatment risks. Discussion: The substantial engagement with dermatology content on TikTok highlights its role as a significant information source, albeit with generally low educational quality. Given the high consumer trust in TikTok, dermatologists face an ethical obligation to improve the accuracy and quality of their online content to counteract potential misinformation.