Model Dermatol - Skin Disease APK

2633+ votes, 4.50/5

AI is searching for infomation on skin diseases and skin cancer using photos... [readmore]


⇣ Download APK (14.58 MB)

This is an original APK file direct fetch from google play. It is safe to download and free of any virus.

Version 14.2.51
Update
Size 14.58 MB
Category Medical
Developer IDerma
Downloads ↓ 468.2K
⇣ Download APK (14.58 MB)

This is an original APK file direct fetch from google play. It is safe to download and free of any virus.

File Infos

License type Free
Version 14.2.51
Size 14.58 MB (15288695)
Filename com.phonegap.whichderm_14251_15288695.zip
Requirement 7.0
Type app
Category Medical
Package name: com.phonegap.whichderm
Slogan: AI is searching for infomation on skin diseases and skin cancer using photos

APK Permissions


‣ android.permission.INTERNET
‣ android.permission.ACCESS_NETWORK_STATE
‣ android.permission.WRITE_EXTERNAL_STORAGE
‣ android.permission.RECORD_AUDIO
‣ android.permission.READ_MEDIA_AUDIO
‣ android.permission.READ_MEDIA_IMAGES
‣ android.permission.READ_MEDIA_VIDEO
‣ android.permission.BLUETOOTH
‣ android.permission.READ_EXTERNAL_STORAGE
‣ android.permission.CAMERA
‣ com.google.android.gms.permission.AD_ID
‣ android.permission.FOREGROUND_SERVICE
‣ android.permission.WAKE_LOCK
‣ com.google.android.finsky.permission.BIND_GET_INSTALL_REFERRER_SERVICE
‣ com.phonegap.whichderm.DYNAMIC_RECEIVER_NOT_EXPORTED_PERMISSION


APK used Features


‣ android.hardware.camera
‣ android.hardware.bluetooth
‣ android.hardware.microphone
‣ android.hardware.touchscreen

Screenshots (8 images)


About Model Dermatol - Skin Disease APK

Model Dermatol - Skin Disease APK version 14.2.51 poster

Latest update [menu]


Version 14.2.51 updated.

Description [menu]


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.

However, please keep in mind the following disclaimer:
- This app is an image search tool, NOT A DIAGNOSTIC APP. The disease name provided in the contents of the links is not the final diagnosis of skin cancer or a skin disorder.
- Although the contents are 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.
- 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

How to install Model Dermatol - Skin Disease APK for Android [menu]


Download Model Dermatol - Skin Disease APK file (com.phonegap.whichderm_14251_15288695.zip) from APKPure.live, then follow these steps:

Update Phone Settings

  • Go to your phone Settings page
  • Tap Security or Applications (varies with device)
  • Check the Unknown Sources box
  • Confirm with OK

Go to Downloads

  • Open Downloads on your device by going to My Files or Files
  • Download Split APKs Installer (SAI)
  • Download and unzip file you already downloaded (com.phonegap.whichderm_14251_15288695.zip)
  • Open Split APKs Installer and follow steps on this app.
  • Tap Install when prompted, the APK file you downloaded will be installed on your device.

How to install Model Dermatol - Skin Disease APK on Windows 7/8/10 or MAC PC? [menu]


Download Model Dermatol - Skin Disease APK file(com.phonegap.whichderm_14251_15288695.zip) from APKPure.live to your PC (ex: /Users/xxx/Downloads/(com.phonegap.whichderm_14251_15288695.zip)), then follow these steps:

Using Emulator:

  • Download And Install one Emulator Softwares (Ex: Bluestacks, GenyMotion, NoxPlayer)
  • Download and unzip file com.phonegap.whichderm_14251_15288695.zip.
  • Using ADB or Split APKs Installer same as install for Android.

Model Dermatol - Skin Disease APK Pros & Cons [menu]


Pros
  • This app is safe, it's not require high risk permissions
  • Compatible with 32 bit device (most Emulator using 32bit arch CPU)
  • Compatible with 64-bit device (some android device and current Bluestacks)

Cons
Everything is good.


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