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Model Dermatol 은 피부암을 진단하는  앱이 아닙니다.<br><br>인공지능 알고리즘은 사진을 분석해서, 검색엔진보다 훨씬 더 정확한 맞춤형 의학 정보 (피부암, 피부질환) 를 제공합니다. 알고리즘의 성능은 해외 피부과 최상위 학술지 (인용수 기준 상위 5%) 에 여러차례 게재되었습니다. 다수의 임상연구가 한국, 미국, 칠레, 그리스, 이탈리아, 독일, 오스트리아 등의 의료기관에서 이루어졌습니다. 서울대, 울산대, 연세대, 한림대, 인제대, Stanford, MSKCC, Ospedale San Bortolo 등 국내외 병원에서 아래와 같은 다수의 공동연구가 이루어졌습니다.<br> <br>* 연구 논문 리스트 *<br>- Assessment of Deep Neural Networks for the Diagnosis of Benign and Malignant Skin Neoplasms in Comparison with Dermatologists: A Retrospective Validation Study. PLOS Medicine, 2020<br>- Performance of a deep neural network in teledermatology: a single‐center prospective diagnostic study. J Eur Acad Dermatol Venereol. 2020<br>- Keratinocytic Skin Cancer Detection on the Face using Region-based Convolutional Neural Network. JAMA Dermatol. 2019<br>- Seems to be low, but is it really poor? : Need for Cohort and Comparative studies to Clarify Performance of Deep Neural Networks. J Invest Dermatol. 2020<br>- Multiclass Artificial Intelligence in Dermatology: Progress but Still Room for Improvement. J Invest Dermatol. 2020<br>- Augment Intelligence Dermatology : Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders. J Invest Dermatol. 2020<br>- Interpretation of the Outputs of Deep Learning Model trained with Skin Cancer Dataset. J Invest Dermatol. 2018<br>- Automated Dermatological Diagnosis: Hype or Reality? J Invest Dermatol. 2018<br>- Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm. J Invest Dermatol. 2018<br>- Augmenting the Accuracy of Trainee Doctors in Diagnosing Skin Lesions Suspected of Skin Neoplasms in a Real-World Setting: A Prospective Controlled Before and After Study. PLOS One, 2022<br>- Evaluation of Artificial Intelligence-assisted Diagnosis of Skin Neoplasms – a single-center, paralleled, unmasked, randomized controlled trial. J Invest Dermatol. 2022<br>----<br>개발자 연락처 :<br>주식회사 아이피부과 대한민국 서울특별시 양천구<br>양천구 목동동로 63(신정동, 대영프라자303호)<br>08093 1178186625 2025-서울양천-0030 양천구청장","app_summary":"'Model Dermatol', published by a South Korea-based company. The app was last updated on 05 July 2026. Released in South Korea on 11 January 2021 and globally on 11 January 2021. 'Model Dermatol' belongs to the 'Medical' category maintaining a content rating of '3세 이상'. In South Korea, 'Model Dermatol' ranked 117th on the 'Top Free' chart in the 'Medical' category. Last month's estimates were 8k downloads. The app is available in South Korea, Italy, and Russia but not being advertised actively. 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