A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…Automated techniques for skin lesion segmentation assist dermatologists in early detection and ongoing monitoring of various skin diseases, ultimately improving patient outcomes and reducing healthcare costs. …”
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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 by Owain Tudor Jones, Natalia Calanzani, Suzanne E Scott, Rubeta N Matin, Jon Emery, Fiona M Walter

“…ObjectiveThis study aimed to understand the views of several stakeholder groups on the use of AI technologies to facilitate the early diagnosis of skin cancer, including patients, members of the public, general practitioners, primary care nurse practitioners, dermatologists, and AI researchers. MethodsThis was a qualitative, semistructured interview study with 29 stakeholders. …”
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The assessment of the facial skin microbiota in patients with seborrheic dermatitis and metabolic syndrome by Kristina Yu. Molodykh, Elena R. Araviiskaia, Evgeny V. Sokolovskiy, Lyudmila A. Kraeva

“…Currently, the attention of dermatologists is often directed to the study of changes in bacterial colonization of the skin, as one of the important links in the pathogenesis of skin diseases, including psoriasis, atopic dermatitis, acne, and seborrheic dermatitis. …”
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Tapinarof Improved Outcomes and Sleep for Patients and Families in Two Phase 3 Atopic Dermatitis Trials in Adults and Children by Eric L. Simpson, Adelaide A. Hebert, John Browning, Rocco T. Serrao, Howard Sofen, Philip M. Brown, Stephen C. Piscitelli, David S. Rubenstein, Anna M. Tallman

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