{"title":"RETRACTION: The Causal Relationships of Granulocytes and Melanoma Skin Cancer: A Univariable and Multivariable Mendelian Randomization Study.","authors":"","doi":"10.1111/srt.70263","DOIUrl":"10.1111/srt.70263","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":"31 10","pages":"e70263"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12508247/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145252651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RETRACTION: Explore the Genetic Exposure to Alopecia Areata.","authors":"","doi":"10.1111/srt.70269","DOIUrl":"10.1111/srt.70269","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":"31 10","pages":"e70269"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12508263/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145252691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RETRACTION: Unraveling the Causative Connection between Urticaria, Inflammatory Cytokines, and Mental Disorders: Perspectives from Genetic Evidence.","authors":"","doi":"10.1111/srt.70267","DOIUrl":"10.1111/srt.70267","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":"31 10","pages":"e70267"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12508616/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145252692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RETRACTION: Association of Vitamin D With Risk of Warts: A Retrospective and Mendelian Randomization Study.","authors":"","doi":"10.1111/srt.70250","DOIUrl":"10.1111/srt.70250","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":"31 10","pages":"e70250"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12508513/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145252541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RETRACTION: Effect of Minoxidil Combined With Triamcinolone Acetonide on Alopecia Areata by Microneedle Injection.","authors":"","doi":"10.1111/srt.70280","DOIUrl":"10.1111/srt.70280","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":"31 10","pages":"e70280"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12540912/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145346930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Reliable labels are essential when training Artificial Intelligence (AI) tools. Whereas some diseases allow biopsy-based labeling, others rely on subjective criteria. For the diagnosis of basal cell carcinoma (BCC), dermatologists detect certain dermoscopic criteria, whose presence (or absence) serves as the basis for determining a diagnosis of BCC. Therefore, an AI tool assisting in BCC diagnosis should provide such criteria to explain its output.
Materials and methods: This study analyzes the agreement among four dermatologists in detecting dermoscopic criteria and compares the performance of an AI model trained with labels from a single dermatologist versus a consensus-based standard. A total of1230 dermoscopic images, collected in around 60 primary health centers, sent via teledermatology, and diagnosed by four dermatologists, were used to train an AI tool. They were randomly selected from the teledermatology platform (2019-2021). Subsequently, 204 new images were used to test the AI tool prospectively. A standard reference (SR) was built using Expectation Maximization on the four diagnoses. The performance of the AI tool trained using the reference standard of one dermatologist versus the reference standard statistically inferred from the consensus of four dermatologists was analyzed using McNemar's test and Hamming distance.
Results: Agreement among dermatologists was high for BCC versus non-BCC (Kappa = 0.9079; PPV = 0.9670), but lower for specific criteria. Statistical differences were found in the performance of AI models trained with individual and consensus labels.
Conclusion: Deriving an SR from multiple expert opinions mitigates individual bias and enhances AI interpretability, key for its clinical adoption.
{"title":"Concordance in Basal Cell Carcinoma Diagnosis. Building a Proper Standard Reference to Train Artificial Intelligence Tools.","authors":"Francisca Silva-Clavería, Carmen Serrano, Iván Matas, Amalia Serrano, Tomás Toledo-Pastrana, Begoña Acha","doi":"10.1111/srt.70277","DOIUrl":"10.1111/srt.70277","url":null,"abstract":"<p><strong>Background: </strong>Reliable labels are essential when training Artificial Intelligence (AI) tools. Whereas some diseases allow biopsy-based labeling, others rely on subjective criteria. For the diagnosis of basal cell carcinoma (BCC), dermatologists detect certain dermoscopic criteria, whose presence (or absence) serves as the basis for determining a diagnosis of BCC. Therefore, an AI tool assisting in BCC diagnosis should provide such criteria to explain its output.</p><p><strong>Materials and methods: </strong>This study analyzes the agreement among four dermatologists in detecting dermoscopic criteria and compares the performance of an AI model trained with labels from a single dermatologist versus a consensus-based standard. A total of1230 dermoscopic images, collected in around 60 primary health centers, sent via teledermatology, and diagnosed by four dermatologists, were used to train an AI tool. They were randomly selected from the teledermatology platform (2019-2021). Subsequently, 204 new images were used to test the AI tool prospectively. A standard reference (SR) was built using Expectation Maximization on the four diagnoses. The performance of the AI tool trained using the reference standard of one dermatologist versus the reference standard statistically inferred from the consensus of four dermatologists was analyzed using McNemar's test and Hamming distance.</p><p><strong>Results: </strong>Agreement among dermatologists was high for BCC versus non-BCC (Kappa = 0.9079; PPV = 0.9670), but lower for specific criteria. Statistical differences were found in the performance of AI models trained with individual and consensus labels.</p><p><strong>Conclusion: </strong>Deriving an SR from multiple expert opinions mitigates individual bias and enhances AI interpretability, key for its clinical adoption.</p>","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":"31 10","pages":"e70277"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12547353/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145346943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RETRACTION: Roles of Negative Emotions and Personality Traits in Psoriasis Vulgaris: A Mendelian Randomization Study.","authors":"","doi":"10.1111/srt.70260","DOIUrl":"10.1111/srt.70260","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":"31 10","pages":"e70260"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12505426/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145252615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RETRACTION: Genetic Causality and Metabolite Pathway Identifying the Relationship of Blood Metabolites and Psoriasis.","authors":"","doi":"10.1111/srt.70253","DOIUrl":"10.1111/srt.70253","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":"31 10","pages":"e70253"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12506833/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145252621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RETRACTION: A Two-Sample Mendelian Randomization Study of Mutual Relations of Six Types of Diets in Atopic Dermatitis.","authors":"","doi":"10.1111/srt.70249","DOIUrl":"10.1111/srt.70249","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":"31 10","pages":"e70249"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12506836/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145252538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RETRACTION: Causal Role of Immune Cells in Alopecia Areata: A Two-Sample Mendelian Randomization Study.","authors":"","doi":"10.1111/srt.70261","DOIUrl":"10.1111/srt.70261","url":null,"abstract":"","PeriodicalId":21746,"journal":{"name":"Skin Research and Technology","volume":"31 10","pages":"e70261"},"PeriodicalIF":3.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12506598/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145252547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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