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2 publicaciones etiquetados con "APASI"

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APASI: El Índice Automático de Área y Gravedad de la Psoriasis impulsado por IA

· 7 min de lectura
Taig Mac Carthy
Co-founder at Legit.Health
Alfonso Medela
CAIO at Legit.Health
Antonio Martorell
Antonio Martorell
Dermatologists and Medical Lead at Legit.Health
Gaston Roustan Gullón
Gaston Roustan Gullón
Dermatologist, Chief of Service

Introducción

Legit.Health presenta un avance revolucionario en la tecnología de evaluación dermatológica: el sistema APASI (Índice Automático de Área y Gravedad de la Psoriasis). Esta solución innovadora aprovecha el poder de la inteligencia artificial para analizar imágenes clínicas y calcular automáticamente puntuaciones PASI estandarizadas, transformando la forma en que se evalúa la gravedad de la psoriasis en la práctica clínica.

APASI: The bright future of Psoriasis severity assessment has arrived

· 8 min de lectura
Taig Mac Carthy
Co-founder at Legit.Health
Alfonso Medela
CAIO at Legit.Health

Introduction

The future of dermatology has arrived thanks to Legit.Health's revolutionary application of the PASI system: APASI (Automatic Psoriasis Area and Severity Index). Using computer vision algorithms, the researchers have created a tool that processes smartphone images and automatically translates them into the domain of the PASI.

It is widely known that objective, reliable, and precise outcome measures are key to evidence-based medicine. When considering psoriasis, the PASI has the best measurement properties and is the most recommended for clinical trials. That is why we automated the PASI to help patients and doctors achieve better health outcomes.

Automatic PASI for psoriasis

The origins of the PASI

This scoring system for psoriasis was first published in a paper by T. Fredericksson and U. Pettersson in 1978, where they explored the validity of a new treatment for the disease.