AI Enabled Managemement of Patients at Risk of Diabetic Foot Ulcer

Project description

Remote scan steps in to prevent diabetic foot ulcers

There are about 60 million people with diabetes in the European region. Diabetic foot ulcer is one of the most serious complications of diabetes and many patients are required to undergo lower limb amputations. The related costs of treatment and rehabilitation are steep, creating a big burden on healthcare systems. The EU-funded DELTA project will develop a home-based device that looks like a typical bathroom scale to predict and prevent diabetic foot ulcers. This remote scanner combines special advanced algorithms, sensors, computer vision and uses machine learning. By preventing ulcers, the technology can prevent hundreds of thousands of amputations, improving lives and saving healthcare systems millions of euros each year.

Fields of science

• medical and health sciences › clinical medicine › endocrinology › diabetes
• natural sciences › computer and information sciences › artificial intelligence › machine learning
• natural sciences › computer and information sciences › artificial intelligence › computer vision

Programme(s)

• H2020-EU.3. - PRIORITY 'Societal challenges
• H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
• H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies

Topic(s)

• EIC-SMEInst-2018-2020 - SME instrument

Call for proposal

H2020-SMEInst-2018-2020-2
See other projects for this call

Funding Scheme

SME-2 - SME instrument phase 2

Coordinator

BLUEDROP MEDICAL LIMITED

Address

Unit 20, Gmit Innovation Hub Galway Galway Mayo Institute Of Technology Dublin Road
H91 Galway
Ireland

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU contribution

€ 2 499 850