Model Dermatology Erfahrungen und Bewertung

- Augment Intelligence Dermatology : Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

- Assessment of Deep Neural Networks for the Diagnosis of Benign and Malignant Skin Neoplasms in Comparison with Dermatologists: A Retrospective Validation Study.

- 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.

- Keratinocytic Skin Cancer Detection on the Face using Region-based Convolutional Neural Network.

- Evaluation of Artificial Intelligence-assisted Diagnosis of Skin Neoplasms – a single-center, paralleled, unmasked, randomized controlled trial.

* "Model Dermatology" liefert relevante Informationen zu Dermatologiekliniken, Hautkrankheiten und Hautkrebs.

Künstliche Intelligenz stellt personalisierte Links zu Websites bereit, die die Anzeichen und Symptome von Hautkrankheiten und Hautkrebs (z.

- Automated Dermatological Diagnosis: Hype or Reality? J Invest Dermatol.

- Interpretation of the Outputs of Deep Learning Model trained with Skin Cancer Dataset.

- Performance of a deep neural network in teledermatology: a single center prospective diagnostic study.

- Seems to be low, but is it really poor? : Need for Cohort and Comparative studies to Clarify Performance of Deep Neural Networks.

Künstliche Intelligenz liefert relevante medizinische Informationen zu Hauterkrankungen (z.

J Invest Dermatol.

J Invest Dermatol.