首页|Department of Dermatology Reports Findings in Artificial Intelligence(Artificia l Intelligence Smartphone Application for Detectionof Simulated Skin Changes: A n In Vivo Pilot Study)
Department of Dermatology Reports Findings in Artificial Intelligence(Artificia l Intelligence Smartphone Application for Detectionof Simulated Skin Changes: A n In Vivo Pilot Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting out of Vejle, Denmark, by NewsRx editors, research stated, “The development of artificialintelligence (AI) is rapidly expanding, showing promise in the dermatological field. Skin ch ecks are aresource-heavy challenge that could potentially benefit from AI-tool assistance, particularly if provided inwidely available AI solutions.”Our news journalists obtained a quote from the research from the Department of D ermatology, “Anovel smartphone application(app)-based AI system, ‘SCAI,’ was de veloped and trained to recognize spotsin paired images of skin, pursuing identi fication of new skin lesions. This pilot study aimed to investigatethe feasibil ity of the SCAI-app to identify simulated skin changes in vivo. The study was co nducted in acontrolled setting with healthy volunteers and standardized, simula ted skin changes (test spots), consistingof customized 3-mm adhesive spots in t hree colors (black, brown, and red). Each volunteer had a totalof eight test sp ots adhered to four areas on back and legs. The SCAI-app collected smartphone- a ndtemplate-guided standardized images before and after test spot application, u sing its backend AI algorithmsto identify changes between the paired images. Tw enty-four volunteers were included, amounting to atotal of 192 test spots. Over all, the detection algorithms identified test spots with a sensitivity of 92.0%(CI: 88.1-95.9) and a specificity of 95.5% (CI: 95.0-96.0). The SC AI-app’s positive predictive value was38.0% (CI: 31.0-44.9), whil e the negative predictive value was 99.7% (CI: 99.0-100). This pil ot studyshowed that SCAI-app could detect simulated skin changes in a controlle d in vivo setting.”
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