Courtney Chau, Hao Feng, Gabriela Cobos, Joyce Park
{"title":"Authors' Reply: The Importance of Comparing New Technologies (AI) to Existing Tools for Patient Education on Common Dermatologic Conditions: A Commentary.","authors":"Courtney Chau, Hao Feng, Gabriela Cobos, Joyce Park","doi":"10.2196/72540","DOIUrl":"10.2196/72540","url":null,"abstract":"","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"8 ","pages":"e72540"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11978276/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Importance of Comparing New Technologies (AI) to Existing Tools for Patient Education on Common Dermatologic Conditions: A Commentary.","authors":"Parker Juels","doi":"10.2196/71768","DOIUrl":"10.2196/71768","url":null,"abstract":"","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"8 ","pages":"e71768"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11978277/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Derek Nguyen, Jennifer Javaheri, Ruth Sanchez, Vy Han
{"title":"Popular Treatments of Psoriasis on Social Media: Google Trends Analysis.","authors":"Derek Nguyen, Jennifer Javaheri, Ruth Sanchez, Vy Han","doi":"10.2196/70067","DOIUrl":"10.2196/70067","url":null,"abstract":"<p><strong>Unlabelled: </strong>This study analyzes the most commonly mentioned psoriasis treatments on Facebook and Reddit forums, tracking their popularity over time by using Google Trends.</p>","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"8 ","pages":"e70067"},"PeriodicalIF":0.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11970562/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143736281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brad Partridge, Nicole Gillespie, H Peter Soyer, Victoria Mar, Monika Janda
{"title":"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.","authors":"Brad Partridge, Nicole Gillespie, H Peter Soyer, Victoria Mar, Monika Janda","doi":"10.2196/63923","DOIUrl":"10.2196/63923","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"8 ","pages":"e63923"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11976179/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143702492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nitin Chetla, Matthew Chen, Joseph Chang, Aaron Smith, Tamer Rajai Hage, Romil Patel, Alana Gardner, Bridget Bryer
{"title":"Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma.","authors":"Nitin Chetla, Matthew Chen, Joseph Chang, Aaron Smith, Tamer Rajai Hage, Romil Patel, Alana Gardner, Bridget Bryer","doi":"10.2196/67299","DOIUrl":"10.2196/67299","url":null,"abstract":"<p><strong>Unlabelled: </strong>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.</p>","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"8 ","pages":"e67299"},"PeriodicalIF":0.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951809/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143674973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samantha S Sattler, Nitin Chetla, Matthew Chen, Tamer Rajai Hage, Joseph Chang, William Young Guo, Jeremy Hugh
{"title":"Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study.","authors":"Samantha S Sattler, Nitin Chetla, Matthew Chen, Tamer Rajai Hage, Joseph Chang, William Young Guo, Jeremy Hugh","doi":"10.2196/67551","DOIUrl":"10.2196/67551","url":null,"abstract":"<p><strong>Unlabelled: </strong>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.</p>","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"8 ","pages":"e67551"},"PeriodicalIF":0.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11952272/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143674978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Charissa Obeng-Nyarko, Tatiana Barrera, Temitayo Ogunleye, Susan Taylor
{"title":"A Google Trends Analysis of Search Interest for Tender-Headedness and Scalp-Related Concerns.","authors":"Charissa Obeng-Nyarko, Tatiana Barrera, Temitayo Ogunleye, Susan Taylor","doi":"10.2196/60040","DOIUrl":"10.2196/60040","url":null,"abstract":"<p><strong>Unlabelled: </strong>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.</p>","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"8 ","pages":"e60040"},"PeriodicalIF":0.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11841994/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rebecca Colwell, Mitchell Gullickson, Jonathan Cutlan, Erik Stratman
{"title":"Cutaneous Atrophy Following Corticosteroid Injections for Tendonitis: Report of Two Cases.","authors":"Rebecca Colwell, Mitchell Gullickson, Jonathan Cutlan, Erik Stratman","doi":"10.2196/67921","DOIUrl":"10.2196/67921","url":null,"abstract":"<p><strong>Unlabelled: </strong>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.</p>","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"8 ","pages":"e67921"},"PeriodicalIF":0.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11841998/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexandra Rose Nigro, Alim Osman, Ryan Charles Saal, Robert James Smith
{"title":"Information Regarding Dermatology as Seen on the Social Media Platform TikTok.","authors":"Alexandra Rose Nigro, Alim Osman, Ryan Charles Saal, Robert James Smith","doi":"10.2196/59597","DOIUrl":"10.2196/59597","url":null,"abstract":"","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"8 ","pages":"e59597"},"PeriodicalIF":0.0,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11793829/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143061556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}