Model Dermatoloy: Skin Disease 13.0.21 Apk

Artificial intelligence scans the given photos and instantly assists on your skin problems. AI provides relevant medical information on skin diseases (e.g skin rash, mole) and skin cancers (e.g., melanoma). AI also gives information on the appropriate dermatology clinics. * Model Dermatology is regulated as a medical device (CE MDR Class I) on 22 June 2021 ♦ Capture skin photographs and submit. ♦ Model Dermatology will perform a visual assessment of the lesion. ♦ Model Dermatology will provide relevant information on dermatology clinics, skin diseases (e.g. skin rash, mole), and skin cancers (e.g. melanoma). AI provides personalized links to websites that describe the signs and symptoms of skin diseases and skin cancers (e.g., melanoma). ♦ The cropped images and metadata (e.g. itching, pain, onset) are transferred, anonymized, and stored as a database, which will be used solely for the enhancement of algorithms. ♦ A total of 104 multi-languages are supported. ♦ Algorithms can be used in mobile browsers. If an error occurs in the app, please use it by accessing https://app.skindx.net in the Chrome browser. ♦ Internet connection is required to run the online algorithm. Please check the internet connection if the App does not work. The algorithm can classify 184 skin diseases which include most kinds of skin cancers and inflammatory disorders (e.g. skin rash). The performance of the skin disease classifier was published in several medical journals. ** Papers for the Model Dermatology ** - 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 - Performance of a deep neural network in teledermatology: a single‐center prospective diagnostic study. J Eur Acad Dermatol Venereol. 2020 - Keratinocytic Skin Cancer Detection on the Face using Region-based Convolutional Neural Network. JAMA Dermatol. 2019 - 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 - Multiclass Artificial Intelligence in Dermatology: Progress but Still Room for Improvement. J Invest Dermatol. 2020 - 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 - Interpretation of the Outputs of Deep Learning Model trained with Skin Cancer Dataset. J Invest Dermatol. 2018 - Automated Dermatological Diagnosis: Hype or Reality? J Invest Dermatol. 2018 - Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm. J Invest Dermatol. 2018 - 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 ** Disclaimer ** - Please consult with your doctor for an accurate diagnosis. - The algorithm does not diagnose skin cancer and skin disorders. It serves only to provide personalized medical information for reference. - A total of 10% of cases of skin cancer can be missed if the diagnosis was made using images alone, therefore, this app can not substitute the role of standard care. - Please seek a doctor’s advice in addition to using this app and before making any medical decisions. - Data collection for improvement of the algorithm is performed in the free version.