Model Dermatol– Skin DiseaseApplication Description The Model Dermatol–Skin Disease Android Application Developed by IDerma is listed under the Medicine category. The Current Version Is 14.3.23, Updated On 04/25/2024. According to Google Play, Model Dermatol – Skin Disease achieved more than 463 thousand installs. Currently, Model Dermatol– Skin Disease Has 3 Thousand Reviews With Average Vote Value 4.5 Artificial intelligence scans the photo provided and immediately helps in identifying your skin problem. AI provides relevant medical information about skin diseases (e.g. rashes, warts, hives) and skin cancer (e.g. melanoma).◉ Capture skin photographs and upload them. Cropped images are transferred, but we do not store your data.◉ AI provides links to websites that describe the relevant signs and symptoms of skin diseases and skin cancer (e.g. melanoma).◉ The algorithm can classify images of 186 diseases ◉ The algorithm is free to use and a total of 104 languages are supported .🞹 PublicationWe use the "Model Dermatology" algorithm. The performance of the classifier has been published in several prestigious medical journals.- 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- Evaluation of Artificial Intelligence-assisted Diagnosis of Skin Neoplasms – a single-center, paralleled, unmasked, randomized controlled trial. J Invest Dermatol. 2021🞹 Disclaimer- Please seek advice from a doctor in addition to using this app and before making any medical decisions.- Diagnosing skin cancer or skin disease based on clinical images alone may miss up to 10% of cases. Therefore, this application cannot replace standard care (in-person examination).- The algorithm's prediction is not the final diagnosis of skin cancer or skin disease. It is only for providing personalized medical information for reference. We are currently offering version 14.3.23. This Is Our Latest And Most Optimized Version. It is suitable for many different devices. Free Download Apk Directly From Google Play Store Or Other Versions We Are Hosting. Also, You Can Download Without Registration And No Login Required. We have more than 200 devices available for Samsung, Xiaomi, Huawei, Oppo, Vivo, Motorola, LG, Google, OnePlus, Sony, Tablet... With so many options, it's easy to choose games or software that fit your device . May Be Useful If There Are Country Restrictions Or Restrictions On Your Device Side On The Google App Store. Read more
