Revisão do EditorModel Dermatology–Skin Disease is a Medical aplicativo for Android phones and tablets developed by IDerma. The latest APK version of Model Dermatology–Skin Disease is 13.4.02 compatible with Nexus, Sumsung Galaxy, LG, Huawei and Kindle Fire mobile phones and android devices having system version 4.2 and higher. The last mod was released on 29-mar-2022 and has google play package name com.phonegap.whichderm. Please read the details about the aplicativo below. Easy and fast Model Dermatology–Skin Disease APK download of the android version 13.4.02 is available directly on ApkGain.com. Model Dermatology–Skin Disease APK is the property and trademark from the developer IDerma. Please note that we only provide the original and free apk package installation without any modifications. Check our "safe download" sign to get the latest report from McAfee to see if the Model Dermatology–Skin Disease download is completely secure. Customers who installed and used this aplicativo gave over 452 user ratings with an average rating 4,0 of 5 stars relating to Model Dermatology–Skin Disease. More than 100000 people have used this aplicativo by now. Join them now and download Model Dermatology–Skin Disease aplicativo APK directly on our ApkGain.com play market!
Descrição
Artificial intelligence scans the given photos and instantly assists on your skin problems. AI provides relevant medical information on skin diseases (e.g skin rash, wart, hives) and skin cancers (e.g., melanoma). AI also gives information on the appropriate dermatology clinics. * "Model Dermatology" is regulated as a medical device (CE MDR Class I) on 22 June 2021
◉ Currently not working on some devices due to compatibility issues. If it goes to the initial screen without any response or an error occurs due to out-of-memory, please connect it by accessing https://app.skindx.net in the Chrome browser.
◉ High-speed Internet connection required to use.
♦ Capture skin photographs and submit.
♦ "Model Dermatology" will perform a visual assessment of the lesion.
♦ "Model Dermatology" will provide relevant information on dermatology clinics, skin diseases (e.g. skin rash, mole), and skin cancers (e.g. melanoma). AI provides personalized links to websites that describe the signs and symptoms of skin diseases and skin cancers (e.g., melanoma).
♦ The cropped images and metadata (e.g. itching, pain, onset) are transferred, but we do not store your personal data.
♦ A total of 104 multi-languages are supported.
The algorithm can classify 184 skin diseases which include most kinds of skin cancers and inflammatory disorders (e.g. skin rash). The performance of the skin disease classifier was published in several medical journals.
** Papers on "Model Dermatology" **
- 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
** Disclaimer **
- Please consult with your doctor for an accurate diagnosis.
- The algorithm does not diagnose skin cancer and skin disorders. It serves only to provide personalized medical information for reference.
- A total of 10% of cases of skin cancer can be missed if the diagnosis was made using images alone, therefore, this app can not substitute the role of standard care.
- Please seek a doctor’s advice in addition to using this app and before making any medical decisions.
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