Startups
2023
RETINAREADRISK SLImage-based risk assessment for diabetic retinopathy
New platform for the early detection and diagnosis of DR in rural areas
New platform for the early detection and diagnosis of DR in rural areas
Address
Carrer de Baldiri Reixac 10, 08028 Barcelona, Spain
CERCA ownership
Reus, Spain
2005
Institut de Recerca Biomèdica Catalunya Sud (IRB CatSud)
Status & Deeptech areas
Company Status & Company Deeptech AreasCurrent company status
DeepTech Area
Spinoff information
Product description
Diabetic retinopathy (DR) is a microvascular complication of type 1 and type 2 diabetes that affects the small vessels of the retina.
DR can lead to complete vision loss if not detected early and is the major cause of preventable blindness in working-age adults.When detected on time, the risk of DR can be reduced by 95% but the disease is asymptomatic in its early stages and the risk of developing DR varies among patients.
Globally, DR is the fifth cause of blindness and visual impairment affecting between 3-4% of people in Europe. DR affects 30% of people with diabetes and it is estimated that 280 million people have lost their sight due to diabetes worldwide.
DR can be prevented by controlling risk factors, such as glycemia or arterial hypertension. But existing healthcare systems are inefficient in detecting DR for several reasons. The volume of patients with diabetes means the cameras needed for screening are in short supply.
Most patients are screened at ophthalmology units, despite the option of telemedicine using a special type of camera. The fact that 29% of Europeans live outside urban areas, where ophthalmologist units are located, also presents a challenge.
The RetinaReadRisk team have come up with a new platform for the early detection and diagnosis of DR in rural areas. The solution combines artificial intelligence (AI) models and 5G technologies, allowing healthcare professionals to reach people in urban and rural areas. It would also promote the efficiency of operations throughout the care cycle, empowering better patient outcomes.
RetinaReadRisk would enable the capture of images at medical offices closest to the population by smart phone. 5G technologies and cloud computing would assure real-time diagnosis.
DR can lead to complete vision loss if not detected early and is the major cause of preventable blindness in working-age adults.When detected on time, the risk of DR can be reduced by 95% but the disease is asymptomatic in its early stages and the risk of developing DR varies among patients.
Globally, DR is the fifth cause of blindness and visual impairment affecting between 3-4% of people in Europe. DR affects 30% of people with diabetes and it is estimated that 280 million people have lost their sight due to diabetes worldwide.
DR can be prevented by controlling risk factors, such as glycemia or arterial hypertension. But existing healthcare systems are inefficient in detecting DR for several reasons. The volume of patients with diabetes means the cameras needed for screening are in short supply.
Most patients are screened at ophthalmology units, despite the option of telemedicine using a special type of camera. The fact that 29% of Europeans live outside urban areas, where ophthalmologist units are located, also presents a challenge.
The RetinaReadRisk team have come up with a new platform for the early detection and diagnosis of DR in rural areas. The solution combines artificial intelligence (AI) models and 5G technologies, allowing healthcare professionals to reach people in urban and rural areas. It would also promote the efficiency of operations throughout the care cycle, empowering better patient outcomes.
RetinaReadRisk would enable the capture of images at medical offices closest to the population by smart phone. 5G technologies and cloud computing would assure real-time diagnosis.