Model Dermatol – Skin Disease

Installs

678.9k

Rating

4.9

Rating count

4.5k

Category	Medical
Developer	Iderma
Price	Free
First release	1/11/2021 (5 years ago)
Version	15.0.73
In-app purchases	No
Contains ads	No
Content rating	Rated for 3+
Package name	com.phonegap.whichderm

View on Play Store

Core Metrics

Data Breakdown

Date	Rating Count	Average Rating	Installs	Version
7/31/2025	4,494	4.860	678,900	15.0.73
7/30/2025	4,489	4.850	678,900	15.0.73
7/29/2025	4,483	4.850	678,543	15.0.73
7/28/2025	4,481	4.850	678,160	15.0.73
7/27/2025	4,476	4.870	677,747	15.0.73
7/26/2025	4,470	4.873	677,336	15.0.73
7/25/2025	4,466	4.860	676,932	15.0.73
7/24/2025	4,463	4.860	676,608	15.0.73
7/23/2025	4,452	4.861	676,262	15.0.73
7/22/2025	4,447	4.870	675,916	15.0.73
7/21/2025	4,441	4.873	675,587	15.0.73
7/20/2025	4,437	4.871	675,246	15.0.73
7/19/2025	4,431	4.890	674,943	15.0.73
7/18/2025	4,428	4.890	674,649	15.0.73
7/17/2025	4,425	4.890	674,254	15.0.73
7/16/2025	4,425	4.891	673,973	15.0.73
7/15/2025	4,425	4.890	673,640	15.0.73
7/14/2025	4,418	4.890	673,231	15.0.73
7/13/2025	4,413	4.891	672,885	15.0.73
7/12/2025	4,409	4.891	672,456	15.0.73
7/11/2025	4,404	4.890	672,126	15.0.73
7/10/2025	4,401	4.891	671,798	15.0.73
7/9/2025	4,392	4.890	671,191	15.0.73
7/8/2025	4,387	4.891	671,191	15.0.73
7/7/2025	4,382	4.891	670,906	15.0.73
7/6/2025	4,377	4.890	670,472	15.0.73
7/5/2025	4,374	4.890	670,104	15.0.73
7/4/2025	4,369	4.890	669,577	15.0.73
7/3/2025	4,362	4.881	669,143	15.0.73
7/2/2025	4,360	4.881	668,856	15.0.73
7/1/2025	4,358	4.890	668,482	15.0.73
6/30/2025	4,359	4.891	667,861	15.0.73
6/29/2025	4,347	4.890	667,203	15.0.71
6/28/2025	4,342	4.881	667,000	15.0.71
6/27/2025	4,340	4.881	666,274	15.0.62
6/26/2025	4,335	4.881	665,774	15.0.62
6/25/2025	4,329	4.920	665,006	15.0.62
6/24/2025	4,322	4.920	664,627	15.0.62
6/23/2025	4,314	4.921	664,627	15.0.62
6/22/2025	4,305	4.920	664,087	15.0.62
6/21/2025	4,302	4.910	663,609	15.0.62
6/20/2025	4,288	4.910	663,098	15.0.62
6/19/2025	4,281	4.910	662,400	15.0.62
6/18/2025	4,280	4.911	662,057	15.0.62
6/17/2025	4,274	4.910	661,591	15.0.62
6/16/2025	4,270	4.910	661,056	15.0.62
6/15/2025	4,265	4.910	660,225	15.0.62
6/14/2025	4,263	4.910	658,941	15.0.62
6/13/2025	4,261	4.910	658,941	15.0.62
6/9/2025	4,250	4.480	657,611	15.0.62
6/8/2025	4,235	4.480	655,761	15.0.62
5/29/2025	4,226	4.900	655,074	N/A
5/28/2025	4,163	4.901	648,546	N/A
5/27/2025	4,160	4.901	648,159	N/A
5/24/2025	4,154	4.900	646,475	N/A
5/22/2025	4,136	4.900	644,619	N/A
5/21/2025	4,125	4.900	642,267	N/A
5/20/2025	4,116	4.901	642,267	N/A
5/19/2025	4,108	4.900	641,477	N/A
4/28/2025	3,984	4.210	624,537	N/A
4/24/2025	3,980	4.912	623,850	N/A
4/23/2025	3,962	4.530	622,311	N/A
4/22/2025	3,962	4.910	620,240	N/A
4/15/2025	3,961	4.910	620,240	N/A
4/10/2025	3,941	4.910	619,250	N/A
4/6/2025	3,923	4.910	617,884	N/A

Details

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

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