Skin Cancer and Melanoma Prevention
Articles published in this theme: 134 (scroll down to load remaining articles)
2026
Pre-Post Evaluation of a Sun Safety Social Media Campaign for Young Adults to Reduce Skin Cancer Risk
JMIR Dermatol 2026 (Jul 07); 9:e90595
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The Rise in Homemade Sunscreen Trends and Future Impacts on Skin Cancer Risk: Systematic Review
JMIR Dermatol 2026 (Jul 03); 9:e84694
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ChatGPT-Generated Advice on Sun Protection and Skin Cancer Prevention Compared to American Academy of Dermatology Guidelines: Cross-Sectional Content Analysis
JMIR Dermatol 2026 (Jun 30); 9:e93839
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The Role of Rating Valence in AI Skin Cancer App Acceptance: Eye-Tracking and Questionnaire Study
JMIR Hum Factors 2026 (Jun 11); 13:e93489
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Developing a Culturally Tailored Narrative Video for Skin Cancer Prevention Among Spanish-Speaking Hispanic Outdoor Workers: Co-Design Study
J Particip Med 2026 (May 22); 18:e89986
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Navigating the Intersection of Radiofrequency Microneedling and Surgical Facelifts: Scoping Review
JMIR Dermatol 2026 (Apr 27); 9:e78385
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Community-Based Teledermatology for Urgent Suspected Skin Cancer: Health Economic Cost-Comparison and Discrete Event Simulation Study
JMIR Dermatol 2026 (Apr 06); 9:e86402
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Association of Skin Cancer With Clinical Depression and Poor Mental Health Days: Cross-Sectional Analysis
JMIR Dermatol 2026 (Jan 22); 9:e80710
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2025
Diagnostic Accuracy, Implementation Barriers, and Equity Implications of Teledermatology in Rural Skin Cancer: Scoping Review
JMIR Dermatol 2025 (Dec 29); 8:e77443
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Utilizing the VISIA Camera for Analyzing 5-Fluorouracil Treatment Efficacy for Actinic Keratosis
JMIR Dermatol 2025 (Dec 19); 8:e66553
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3D Total Body Photography as a Promising Innovation for Early Skin Cancer Detection: Scoping Review
JMIR Dermatol 2025 (Dec 17); 8:e68510
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Perception, Quality, and Accuracy of Sunscreen Content on TikTok: SkinMedia Cross-Sectional Content Analysis
JMIR Dermatol 2025 (Dec 01); 8:e70010
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Evaluating Bias in Social Media Research Using #Sunscreen Content on Instagram Reels
JMIR Dermatol 2025 (Nov 05); 8:e76829
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Assessing the Accuracy of ChatGPT in Appropriately Triaging Common Postoperative Concerns Regarding Mohs Micrographic Surgery
JMIR Dermatol 2025 (Jul 08); 8:e72706
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Implementing Teledermoscopy to Shorten Doctors’ Diagnostic Process for Suspected Skin Cancer: Observational Pilot Study
JMIR Dermatol 2025 (May 30); 8:e66782
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Examining Demographic, Geographic, and Temporal Patterns of Melanoma Incidence in Texas From 2000 to 2018: Retrospective Study
JMIR Cancer 2025 (May 02); 11:e67902
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Exploring the Views of Dermatologists, General Practitioners, and Melanographers on the Use of AI Tools in the Context of Good Decision-Making When Detecting Melanoma: Qualitative Interview Study
JMIR Dermatol 2025 (Mar 24); 8:e63923
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Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study
JMIR Dermatol 2025 (Mar 21); 8:e67551
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Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma
JMIR Dermatol 2025 (Mar 21); 8:e67299
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User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study
JMIR Cancer 2025 (Jan 28); 11:e60653
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