Model Dermatol ā€“ Skin Disease

4.3
2.47K reviews
100K+
Downloads
Content rating
PEGI 3
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About this app

Artificial intelligence can analyze the provided photograph and instantly help to find medical information for your skin problem. The algorithm offers relevant medical information on skin diseases (e.g. wart, shingles), skin cancer (e.g. melanoma), and other skin rashes (e.g. hive).

- Please capture skin photographs and submit them for analysis. 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 disease 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, hive, eczema, psoriasis, acne, rosacea, wart, onychomycosis, shingles, melanoma, and nevus.
- The use of the algorithm is FREE, and it supports a total of 104 languages.

However, please keep in mind the following disclaimer:
- The algorithm's prediction is not the final diagnosis of skin cancer or skin disorder although it is meant to provide personalized medical information.
- While this app is useful, please consult a doctor before making any medical decisions.


We utilize the "Model Dermatology" algorithm. The classifier's performance 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 ā€“ a single-center, paralleled, unmasked, randomized controlled trial. J Invest Dermatol. 2022
Updated on
Feb 13, 2024

Data safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.
No data shared with third parties
Learn more about how developers declare sharing
No data collected
Learn more about how developers declare collection

Ratings and reviews

4.4
2.41K reviews
Sandeep Patel
January 31, 2024
I am really amazed by accuracy of this APP in identifying skin problem. As I uploaded image of my skin and it provided disease name which have samilar images as of mine. I have tried google search before but It provides all different kind of skin problem images which l can not relate to easily.
3 people found this review helpful
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Pup
August 2, 2021
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. 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. Will bring it up with my doc next time I see her.
56 people found this review helpful
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IDerma
August 4, 2021
Thanks for leaving a good review. Hope this helps you get the right information. An accurate diagnosis cannot be determined based on photographs alone, so please consult with your doctor.
Mark Eveleth
December 4, 2021
I installed the application on my Android 8.0 phone and took the requested pictures. 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. I had granted it the permissions it had asked for so I cannot recommend this app.
24 people found this review helpful
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IDerma
March 31, 2022
Hello. Most of the connection problems on some devices have been resolved in the latest version (>13.2.40). We apologize for any inconvenience. We apologize for any inconvenience caused during this time.