Model Dermatol – Skin Disease
8.9 209
v14.2.61 by IDerma
About Model Dermatology
Model Dermatology (Package Name: com.phonegap.whichderm) is developed by IDerma and the latest version of Model Dermatol – Skin Disease 14.2.61 was updated on February 13, 2024. Model Dermatol – Skin Disease is in the category of Medical. You can check all apps from the developer of Model Dermatol – Skin Disease and find 164 alternative apps to Model Dermatol – Skin Disease on Android. Currently this app is for free. This app can be downloaded on Android 7.0+ on APKFab or Google Play. All APK/XAPK files on APKFab.com are original and 100% safe with fast download.
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 – a single-center, paralleled, unmasked, randomized controlled trial. J Invest Dermatol. 2022
- 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 – a single-center, paralleled, unmasked, randomized controlled trial. J Invest Dermatol. 2022
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Model Dermatology Features
Previous Versions More
Model Dermatol – Skin Disease
14.2.61
APK
April 14, 2024
15.15 MB
Requires Android: Android 7.0+
Screen DPI: nodpi
SHA1: 11db73c905093bff305f0a894fb3c85b0b91872f
Size: 15.15 MB
Model Dermatol – Skin Disease
14.2.51
APK
March 2, 2024
15 MB
Requires Android: Android 7.0+
Screen DPI: nodpi
SHA1: 220da3630eb6f72085f683d898ded096e30e9fc0
Size: 15 MB
Model Dermatol – Skin Disease
14.2.45
APK
February 9, 2024
15 MB
Requires Android: Android 7.0+
Screen DPI: nodpi
SHA1: 2e1b16389acc544be4bdea3d8e1180096570a634
Size: 15 MB
Model Dermatol – Skin Disease
13.8.76
XAPK
APKs
April 23, 2023
13.83 MB
Requires Android: Android 5.1+
Screen DPI: 120-640dpi
SHA1: b6bc2d4046ece57f14734ea08e23b33b9240f39d
Size: 13.83 MB
More Information
Package Name:
Update Date:
2024-02-13
Latest Version:
14.2.61
Need Update:
Available on:
Requirements:
Android 7.0+
Report:
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