Model Dermatol – Skin Disease

4.5
4.07K reviews
500K+
Downloads
Content rating
Everyone
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About this app

Artificial intelligence can analyze the provided photograph and instantly help find information about your skin problem. 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). 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. 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.
- The use of the algorithm is FREE.

However, please keep in mind the following disclaimer:
- This app is an image search tool, NOT A DIAGNOSTIC APP. 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.

We utilize the "Model Dermatology" algorithm. The classifier's performance has been published in several prestigious medical journals. 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. 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. 2022
Updated on
Dec 8, 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
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No data collected
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Ratings and reviews

4.5
4K reviews
Sonja Smith
July 23, 2024
I tried taking the pictures with and without flash, and in a well lit area. The pictures would look great until I added them, then they would become dark and blurry. The few pictures I could use were suggested to possibly be several different things, which I could have just googled and found out the same. So, this app didn't give me any information I didn't already have.
1 person found this review helpful
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Iderma
July 23, 2024
Thanks for your feedback. It may be necessary to check whether a similar problem exists on a specific smartphone model. We will investigate the problems you pointed out.
Leo
April 8, 2025
Shockingly accurate. Not gonna go into too much detail, but I had to go to urgent care for a spreading rash, so I downloaded a few apps like this one to see how close they would get to my doc's diagnosis. The app gave me 5 suggestions, most of which were very similar to what it turned out to be, but the top suggestion was dead on. So yeah, if you're curious as to what your skin condition might be, this is a good starting place.
1 person found this review helpful
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Colin Luckens
January 7, 2025
The app won't let me take any more photos!! Every time I take a photo of my "mark" and click on "Ok", it just goes to back to the homepage, the WiFi symbol flashes, and I have to start all over again!!! But then the same thing keeps happening - it's very annoying because obviously I'm worried about this mark.....
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Iderma
January 8, 2025
If the app is not functioning properly on your device, you can check the results on your PC at (https://www.modelderm.com). Please note that this app is not intended for cancer diagnosis. If you have concerns, we recommend using a telemedicine app for further assistance.