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Further reading

Introduction

The Legit.Health artificial intelligence has been developed in collaboration with dermatologists specializing in respective pathologies. To accomplish this, the development team has collected hundreds of thousands of images from different sources, including images of different modalities, sizes, perspectives, and lighting conditions.

The technology consists of Convolutional Neural Networks (CNNs) that process images and learn from the consensus of the doctors who participate in their creation.

Below is a series of publications in scientific journals related to the operation and performance of the algorithm. In these publications, you will find descriptions of the method used to create the artificial intelligence, as well as the results and the names of the physicians who have participated in its creation and validation.

Automatic International Hidradenitis Suppurativa Severity Score System (AIHS4): A Novel Tool to Assess the Severity of Hidradenitis Suppurativa Using Artificial Intelligence

Dermatology Image Quality Assessment (DIQA): Artificial intelligence to ensure the clinical utility of images for remote consultations and clinical trials

Automatic SCOring of Atopic Dermatitis Using Deep Learning: A Pilot Study