This is an Artificial Intelligence solution for the early diagnosis and screening of diabetic retinopathy that analyses the fundus image of people and determines the presence or absence of the eye disease.
This is a software module for automatically quantifying the diameters of retinal blood vessels and automatically measuring the artery/vein ratio of the retinal microvasculature in fundus images.
This device makes it possible to execute a variety of AI modules for processing several medical images at the edge. Different medical devices can be connected to it for acquiring images and returning diagnostic results.
This device with an embedded touch screen runs a variety of AI modules for processing different medical images. It connects to different medical devices for acquiring images and showing diagnostic results directly in the screen.
UMI is a scalable web platform that can be adapted for either large hospitals and centres as well as small and medium clinics need. It can manage and optimise diagnostic and monitoring processes by combining several tools for updated data analysis and automatic generation of clinical reports in different fields of medicine. All of that can be done through a simple and intuitive interface.
