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1. - Augment Intelligence Dermatology : Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.
2. 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).
3. - 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.
4. - The algorithm provides links to websites that describe the relevant signs and symptoms of skin diseases and skin cancer (e.g., melanoma).
5. - Assessment of Deep Neural Networks for the Diagnosis of Benign and Malignant Skin Neoplasms in Comparison with Dermatologists: A Retrospective Validation Study.
6. - Keratinocytic Skin Cancer Detection on the Face using Region-based Convolutional Neural Network.
7. - 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.
8. - Evaluation of Artificial Intelligence-assisted Diagnosis of Skin Neoplasms – a single-center, paralleled, unmasked, randomized controlled trial.
9. The disease names provided in the linked content are not final diagnoses of skin cancer or skin disorders.
10. - Interpretation of the Outputs of Deep Learning Model trained with Skin Cancer Dataset.
11. Artificial intelligence can analyze the provided photograph and instantly help find information about your skin problem.
Liked Model Dermatol? you may also like other Medical apps like Dermatology Atlas & Skin Infec; Dermatology Made Easy; iDoc24 - Dermatology Online; First Derm: Online Dermatology;