SEIDOR – CATALYS: Glaucoma Artificial Intelligence System for Clinical Assistance
SEIDOR
Sector: Health
Business Case
Glaucoma is one of the predominant pathologies in ophthalmology, whose monitoring is necessary to follow the patient’s development. It was from this situation that the program Teleglaucoma, designed to monitor patients with different types of glaucoma, was conceived at the University Hospital of Araba. In order to automate the referral of these patients and to plan their appointments, the CATALYS project was created in collaboration with the BIOARABA Health Research Institute.
Objectives
The aim was to develop a medical diagnostic support tool that allows the clinician to: view patient data and clinical images from different appointments predict patient referral (teleglaucoma, medical treatment or surgery) based on clinical data and fundus OCT image If the patient continues in the teleglaucoma circuit, design their Follow-up Plan.
Use case
The aim was to develop a medical diagnostic support tool that allows the clinician to: view patient data and clinical images from different appointments predict patient referral (teleglaucoma, medical treatment or surgery) based on clinical data and fundus OCT image If the patient continues in the teleglaucoma circuit, design their Follow-up Plan.
Infrastructure
Automatic or Deep Learning Image recognition/processing
Technology
Automatic or Deep Learning Image recognition/processing
Data
Private and anonymised datasets provided by BioAraba of both OCT images and clinical data (numerical and categorical data obtained in CSV).
