JMIR dermatology最新文献

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

Background: 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.

Objective: This study aims to provide an in-depth understanding of how a range of clinicians involved in melanoma screening and diagnosis conceptualize the role of AI within their decision-making and what these conceptualizations mean for good decision-making.

Methods: This qualitative exploration used in-depth individual interviews with 30 clinicians, predominantly from Australia and New Zealand (n=26, 87%), who engaged in melanoma detection (n=17, 57% dermatologists; n=6, 20% general practitioners with an interest in skin cancer; and n=7, 23% melanographers). The vast majority of the sample (n=25, 83%) had interacted with or used 2D or 3D skin imaging technologies with AI tools for screening or diagnosis of melanoma, either as part of testing through clinical AI reader studies or within their clinical work.

Results: We constructed the following 5 themes to describe how participants conceptualized the role of AI within decision-making when it comes to melanoma detection: theme 1 (integrative theme)-the importance of good clinical judgment; theme 2-AI as just one tool among many; theme 3-AI as an adjunct after a clinician's decision; theme 4-AI as a second opinion for unresolved decisions; theme 5-AI as an expert guide before decision-making. Participants articulated a major conundrum-AI may benefit inexperienced clinicians when conceptualized as an "expert guide," but overreliance, deskilling, and a failure to recognize AI errors may mean only experienced clinicians should use AI "as a tool." However, experienced clinicians typically relied on their own clinical judgment, and some could be wary of allowing AI to "influence" their deliberations. The benefit of AI was often to reassure decisions once they had been reached by conceptualizing AI as a kind of "checker," "validator," or in a small number of equivocal cases, as a genuine "second opinion." This raised questions about the extent to which experienced clinicians truly seek to "collaborate" with AI or use it to inform decisions.

Conclusions: Clinicians conceptualized AI support in an array of disparate ways that have implications for how AI should be incorporated into clinical workflows. A priority for clinicians is the conservation of good clinical acumen, and our study encourages a more focused engagement with users about the precise way to incorporate AI into the clinical decision-making process for melanoma detection.

Unlabelled: 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.

Unlabelled: ChatGPT is increasingly used in healthcare. Fields like dermatology and radiology could benefit from ChatGPT's ability to help clinicians diagnose skin lesions. This study evaluates the accuracy of ChatGPT in diagnosing melanoma. Our analysis indicates that ChatGPT cannot be used reliably to diagnose melanoma, and further improvements are needed to reach this capability.

Unlabelled: In this Google Trends cross-sectional analysis, we aimed to understand the popularity of tender-headedness by analyzing related Google search queries from January 2013 to December 2022. Since 2013, Google searches on scalp-related concerns, especially those regarding tender-headedness in Black hair culture, have increased, thus uncovering an opportunity for dermatologists to utilize culturally relevant language to address scalp concerns in patients with Afro-textured hair.

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

Background: Mobile health apps can boost treatment adherence and support disease management at home. The Atopic App and web-based Atopic School patient education program offer a chance to enhance adherence to atopic dermatitis (AD) management.

Objective: We aim to evaluate the feasibility, acceptability, and preliminary efficacy of the Atopic App mobile health intervention in the managing of AD in children.

Methods: A randomized controlled study in children with AD divided participants into 3 groups: a control group (no app), an observational group with the app, and an interventional group with investigator supervision. Patients were examined at screening and follow-up visits 1 and 2 at 3-month intervals. Outcome measures included SCORAD (Scoring Atopic Dermatitis) for objective severity and Patient-Oriented Eczema Measure (POEM) for subjective effectiveness. Statistical analysis used paired t tests (2-tailed), the Mann-Whitney U test, and multiple regression.

Results: Fifty-eight participants entered this study (38 boys and 20 girls): group 1 (control) comprised 17 patients, while experimental groups 2 and 3 consisted of 20 and 21 patients, respectively. The rates of missed appointments were similar and statistically insignificant across the groups. All groups showed a significant decrease in SCORAD and POEM scores (P<.05). Usage of the app for ≥8 days showed a more significant decrease in severity scores compared to those who used it for ≤7 days, or did not use it at all. Participants who used the app for ≥8 days had a median SCORAD of 6.25 (95% CI 4.6-14.1; IQR 4-16.3) at visit 1, significantly lower than nonusers (17.9, 95% CI 13.9-24.0; IQR 13.9-24; P=.03) and those using it ≤7 days (13, 95% CI 9.35-27; IQR 7.2-27; P=.04). Their median POEM of 2 (95% CI 1.0-4.5; IQR 1-5.3) was also significantly lower than those using the app ≤7 days (9, 95% CI 2-12; IQR 2-12; P=.04) and lower, though not significantly, than nonusers (7, 95% CI 1-9; IQR 1-9; P=.14). Additionally, using the Atopic App for ≥8 days after the screening visit strongly predicted a decrease in both SCORAD and POEM scores (P=.01 and P=.04, respectively). The time since the screening visit significantly predicted increased outcome scores, while prescriptions of topical calcineurin inhibitors, oral antihistamines, and oral antibiotics were weak and insignificant predictors of score changes.

Conclusions: Our findings indicate that the Atopic App is helpful tool in managing AD in children, and they underscore the potential of mobile health interventions in the disease management.

Background: Lipomas are benign tumors composed of encapsulated adipocytes. Although relatively common, uncertainty remains about the population-level prevalence, the etiology, and the degree of public interest in lipomas and associated removal procedures.

Objective: The spatiotemporal patterns of public interest in lipomas and lipoma removal procedures were characterized.

Methods: Google Trends data that report the relative search volume (RSV) of Google queries pertaining to lipomas and their removal procedures at national and international levels were analyzed. To contextualize these trends, the RSV for lipomas was compared to that of several other common dermatological conditions in the United States.

Results: In the United States, lipomas have consistently generated lower levels of public interest than other common dermatological conditions, but interest in the condition has been rising since the mid-2010s. Across the world, public interest in lipomas appears to be the highest in pockets of Eastern Europe, whereas in the United States, relative interest has been higher in Midwestern and Southern states. In addition, the interest in lipoma removal procedures has risen steadily from 2004 to the present, with particularly high RSVs coming from Southwestern states.

Conclusions: Dermatologists and plastic surgeons should be aware of the increasing public interest in lipomas and lipoma-removal procedures. Clinical awareness is especially important in states with an elevated interest in lipomas and their associated removal procedures.