AI challenges in health
Purpose
The Health/AI Program proposes the launch of Challenges to evaluate artificial intelligence solutions that help solve specific problems in the healthcare field. The challenge materializes with a public and open call for projects. Once selected, they will undergo a thorough evaluation process with the mission of choosing the best proposal to implement in the Catalan Health System.
The first proposed challenge is for Diabetic Retinopathy. The aim is to develop AI-based tools to support the care of patients affected by diabetes, through the analysis of retinograms and clinical data from the Catalan Health System.
The second challenge aims to develop a solution based on artificial intelligence to provide information on medicines to patients, carers and citizens. For more information on each of the challenges, click on the corresponding box.
Related documents:
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01. Consultation open to the market
Diabetic retinopathy challenge
Diabetic retinopathy is a neurovascular complication of people with type 1 and type 2 diabetes that can lead to reduced or complete vision loss. It is currently the second cause of blindness in Spain in global terms, and the ...
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02. Consultation open to the market
Medicines information challenge
In order to ensure the proper use of medicines, health professionals must ensure that they provide the necessary information about medicines to patients and the public, with the aim of adhering patients to their therapeutic plan to optimize the ...
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03. Resultats de la consulta preliminar al mercat
Challenge on the prevention of medication-related health problems
The purpose of this alert is to provide advance information on the conducting of a preliminary market consultation to capture the availability or the possibilities that the market may develop, of AI-based solutions to prevent health problems related to ...
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04. Preliminary market consultation
Chest x-ray challenge
One of the main challenges facing healthcare systems in the field of radiology is that the number of medical imaging scans that require clinical interpretation is growing much faster than the availability of professionals needed to interpret them. Primary care ...
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