The CTTI has won a CNIS award in the category of Best Artificial Intelligence Project

The AI model for diagnosing melanomas project, developed by CTTI’s Innovation Directorate, today received the award for “Best Artificial Intelligence Project” at the CNIS Awards, as part of the National Congress of Innovation and Public Services.

The project, on which the Department of Health, the TIC Salut Social Foundation, T-Systems and Deep Solutions have collaborated, aims to develop and optimise an artificial intelligence system that uses dermoscopic images to detect and classify melanoma and other skin lesions with high accuracy. The aim is to improve the prognosis and therapeutic intervention in diagnosed patients.

Lluís Anaya, executive director of the Digital Innovation and Social Areas at CTTI, and Núria Espuny, director of the Directorate General of Digital Administration, collected the prize at the awards ceremony.

About the congress and the CNIS Awards

The CNIS Awards, which are made up of 13 categories and received more than 100 nominations this year, aim to highlight the work done by the public administration and detect good practices that serve as a reference for other administrations.

The National Congress of Innovation and Public Services (CNIS) is one of the main national conferences on innovation in the public sector. This year it dealt with the application of new technologies, such as artificial intelligence, in the digital transformation and cultural change of administrations.

The Directorate General of Digital Administration (DGAD) took part in the congress through its director Núria Espuny and the Directorate General of Digital Services and Citizen Experience (DGSEC) participated through its director Ester Manzano, who received recognition for her professional career. Maria Ester Peña de las Heras, the Subdirector General of Citizen Service, also participated on behalf of DGSEC.

Source: CTTI

  • The AI Model Melanoma Diagnosis project won the prize in the “Best Artificial Intelligence Project” category