1. Numerous collaborative studies have been conducted with various hospitals internationally, including Seoul National University, Ulsan University, Yonsei University, Hallym University, Inje University, Stanford, MSKCC, and Ospedale San Bortolo. - Assessment of Deep Neural Networks for the Diagnosis of Benign and Malignant Skin Neoplasms in Comparison with Dermatologists: A Retrospective Validation Study. - Performance of a deep neural network in teledermatology: a single center prospective diagnostic study.
2. The cropped images will be transferred, but we will not store your data. - The algorithm provides links to websites that describe the relevant signs and symptoms of skin diseases and skin cancer (e. g. , melanoma). - With the ability to classify images of 186 skin diseases, the algorithm covers common types of skin disorders such as atopic dermatitis, hives, eczema, psoriasis, acne, rosacea, warts, onychomycosis, shingles, melanoma, and nevi. - This app is an image search tool, NOT A DIAGNOSTIC APP.
3. The algorithm provides relevant medical information on skin diseases (e. g. , warts, shingles), skin cancer (e. g. , melanoma), and other skin rashes (e. g. , hives).
4. The disease names provided in the linked content are not final diagnoses of skin cancer or skin disorders. - This app is not a medical device and has not been approved by the FDA. - Although the content is informative, please CONSULT A DOCTOR before making any medical decisions.
5. In the 2022 Stiftung Warentest, a German consumer organization, this app received satisfaction ratings only slightly lower than paid telemedicine dermatology services. - Please capture skin photographs and submit them for analysis.
6. Artificial intelligence can analyze the provided photograph and instantly help find information about your skin problem.
7. The classifier's performance has been published in several prestigious medical journals.
8. We utilize the "Model Dermatology" algorithm.
9. J Eur Acad Dermatol Venereol. - Keratinocytic Skin Cancer Detection on the Face using Region-based Convolutional Neural Network. JAMA Dermatol. - 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. - Multiclass Artificial Intelligence in Dermatology: Progress but Still Room for Improvement. J Invest Dermatol. - Augment Intelligence Dermatology : Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders. J Invest Dermatol. - Interpretation of the Outputs of Deep Learning Model trained with Skin Cancer Dataset. J Invest Dermatol. - Automated Dermatological Diagnosis: Hype or Reality? J Invest Dermatol. - Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm. J Invest Dermatol. - 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. - Evaluation of Artificial Intelligence-assisted Diagnosis of Skin Neoplasms – a single-center, paralleled, unmasked, randomized controlled trial. J Invest Dermatol.
1. So... You needed access to my files for that? Just another data collection appI have accepted all of their requests and typed in my details multiple times and every time I attach a file or take a photo it just reloads and sends me back to the beginning.This app is very easy to use and gave me the assessment that I was thinking it was.
2. I've never been able to find results online for what they could be ('itchy red spots' on arms happens to be very nondescript) app gave me a handful of possibilities with images with percent match and there was one that looked exactly like what I have! Really great to finally have some sort of idea of what may be going on.
3. I had granted it the permissions it had asked for so I cannot recommend this app.Very accurate and helpful!! My wife has a small spot which has been staying for a long time.
4. I use this to help verify self diagnosis.Really interesting and handy app! I've had these spots that appear on my arms that I always forget to bring up to my doctor.
5. Will bring it up with my doc next time I see her.I installed the application on my Android 8.0 phone and took the requested pictures.
6. Every time I either uploaded it or took the picture directly in the app it would immediately revert me back to the license agreement that I had already agreed to.
7. During Covid pandemic time, we were not able to meet a doctor.
8. However, this app diagnosed it quickly with very high accuracy!! I want to highly recommend this app as a family doctor.No working.
9. App just told me to see a doc and gave no additional info.
10. I will keep this in mind for any other skin problems I or others I know come across.
11. You are moved to web that does not work95% accurate.