Model Dermatol - Wiki 13.8.62



Publisher Description



Artificial intelligence Searches for Information on Skin Diseases

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 such as skin rash, wart, and hive.

Here are some details about the process:
- You can 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.
- 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, onychomycosis, 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 – a single-center, paralleled, unmasked, randomized controlled trial. J Invest Dermatol. 2022

Apr 14, 2023
Version 13.8.62
Wiki version


About Model Dermatol - Wiki

Model Dermatol - Wiki is a free app for iOS published in the Health & Nutrition list of apps, part of Home & Hobby.

The company that develops Model Dermatol - Wiki is Iderma. The latest version released by its developer is 13.8.62.

To install Model Dermatol - Wiki on your iOS device, just click the green Continue To App button above to start the installation process. The app is listed on our website since 2023-04-14 and was downloaded 0 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded app with your antivirus. Your antivirus may detect the Model Dermatol - Wiki as malware if the download link is broken.

How to install Model Dermatol - Wiki on your iOS device:

  • Click on the Continue To App button on our website. This will redirect you to the App Store.
  • Once the Model Dermatol - Wiki is shown in the iTunes listing of your iOS device, you can start its download and installation. Tap on the GET button to the right of the app to start downloading it.
  • If you are not logged-in the iOS appstore app, you'll be prompted for your your Apple ID and/or password.
  • After Model Dermatol - Wiki is downloaded, you'll see an INSTALL button to the right. Tap on it to start the actual installation of the iOS app.
  • Once installation is finished you can tap on the OPEN button to start it. Its icon will also be added to your device home screen.



RELATED PROGRAMS
Our Recommendations






BarCode2D-PNG


Click stars to rate this APP!

Users Rating:  
  0.0/5     0
Downloads: 0
Updated At: 2024-04-22
Publisher: Iderma
Operating System: Ios
License Type: Free