Scientific Publications

Artificial Intelligence-Based Quantification to Assess the Automatic Psoriasis Area and Severity Index using deep learning.

A novel approach to dermatology image quality assessment using cross-domain training techniques for improved generalization.

Evaluating the diagnostic accuracy of the Legit.Health device for Generalized Pustular Psoriasis (GPP), a rare and severe skin condition.

We introduce AUAS, an automatic equivalent of UAS that deploys a deep learning lesion-detecting algorithm, called Legit.Health-UAS-HiveNet.

Our results show that, with the current dataset size, our tool assesses the severity of Hidradenitis Suppurativa cases with a performance comparable to that of the most expert physician.

Artificial Intelligence to ensure the clinical utility of images for remote consultations and clinical trials.

Automatic SCOring of Atopic Dermatitis using Deep Learning (ASCORAD)

Resultados del estudio de validación de algoritmo de deep learning para diagnóstico de melanoma

Algoritmo de aprendizaje profundo para la optimización del triaje y la derivación de pacientes con patologías cutáneas

Cálculo automático de la urticaria con Inteligencia Artificial para el conteo preciso de habones