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5 posts tagged with "artificial intelligence"

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Dermatology deserts and digital frontiers: how Brazil is rebuilding the dermatology pathway

· 15 min read
Andy Anguilar
CEO at Legit.Health
Giuseppe Razzani
Head of Sales & Business Development
María Ribagorda
Digital Health Manager
A clinician gets a detailed report on a possible lesion from a photo and the Legit.Health device analysis

A clinician reviewing a case on the Legit.Health interface.

In a small town in the interior of the Northeast, a primary-care physician suspects melanoma in a 62-year-old patient. She writes a referral. The referral describes the lesion in words: there is no standardised photograph, no objective severity measurement, no structured baseline. The patient joins the queue. The queue moves at the speed of a continent: before telemedicine programmes began to compress it, the average wait for a dermatology appointment in the SUS reached 294 days. [^1]

Skin cancer does not wait 294 days.

This is the access deficit that defines Brazilian dermatology today, and it is a different deficit from the one other countries face. Brazil is a continental country with a dual health system, and the dermatology bottleneck is not one queue: it is two parallel queues, both under pressure, each for slightly different reasons. A clinically validated layer of artificial intelligence (AI) that covers the full spectrum of dermatology (skin cancer, chronic disease and longitudinal follow-up) and is certified by ANVISA, with CE marking and MHRA registration, is the missing piece in both queues.

Legit.Health obtains the Certificate of Conformity with the Spanish National Security Framework (ENS)

· 3 min read
Taig Mac Carthy
Co-founder at Legit.Health

Legit.Health has obtained the Certificate of Conformity with the Spanish National Security Framework (Esquema Nacional de Seguridad, ENS), a milestone that reinforces the company's work as a trusted technology provider for the public healthcare system and consolidates information security as a central pillar of our diagnostic support, severity scoring and malignancy detection services for dermatology.

Legit.Health Certificate of Conformity with the Spanish National Security Framework (ENS)

Certificate of Conformity with the Spanish National Security Framework (ENS).

APASI: The bright future of Psoriasis severity assessment has arrived

· 8 min read
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

Introduction

Legit.Health presents a significant advancement in dermatological assessment technology: the APASI (Automatic Psoriasis Area and Severity Index) system. This solution uses artificial intelligence to analyze clinical images and automatically calculate standardized PASI scores, advancing how psoriasis severity is evaluated in clinical practice and research.

Using computer vision algorithms, our researchers have created a tool that processes smartphone images and automatically translates them into the domain of the PASI, providing objective, rapid, and precise evaluations that complement traditional clinical assessment methods.

Automatic Urticaria Activity Score (AUAS): A Novel Technology for Urticaria Severity Assessment Based on Automatic High-Precision Hive Counting

· 6 min read
Taig Mac Carthy
Co-founder at Legit.Health
Alfonso Medela
CAIO at Legit.Health
Ruben Garcia Castro
Ruben Garcia Castro
Dermatologist
Antonio Martorell
Antonio Martorell
Dermatologists and Medical Lead at Legit.Health

This post is a summary of a scientific publication published in the Journal of Investigative Dermatology (JID) Innovations. We encourage you to read the whole publication, which is embedded below.

We invite you to read the full paper for yourself, or you can scroll down to read the summary in this educational blog post.

Mac Carthy, T., Hernández Montilla, I., Aguilar, A., García Castro, R., González Pérez, A. M., Vilas Sueiro, A., Vergara de la Campa, L., Alfageme, F., & Medela, A. (2024). Automatic Urticaria Activity Score: Deep Learning-Based Automatic Hive Counting for Urticaria Severity Assessment. In JID Innovations (Vol. 4, Issue 1, p. 100218). Elsevier BV. https://doi.org/10.1016/j.xjidi.2023.100218

The Legal Challenges of Telemedicine

· 6 min read
Taig Mac Carthy
Co-founder at Legit.Health
Info

This post is a summary of the event held at Comillas ICADE Law School, focused on the legal aspects of remote medicine.

telemedicine with Movistar, enrique ruiz and taig mac carthy

The Comillas ICADE Law School held the 1st Telemedicine Conference within the Uría Menéndez-ICADE Chair on Market Regulation. The Conference had the participation of representatives of the public and private sectors who have had the opportunity to review the situation of telemedicine in our country.