Descripción del proyecto
La exploración remota ayuda a prevenir las úlceras del pie diabético
En Europa hay aproximadamente sesenta millones de personas con diabetes. La úlcera del pie diabético es una de las complicaciones más graves de esta enfermedad, la cual hace que muchos pacientes tengan que someterse a amputaciones en las extremidades inferiores. Los costes del tratamiento y la rehabilitación son muy elevados, lo que supone una gran carga para los sistemas sanitarios. El proyecto financiado con fondos europeos DELTA desarrollará un dispositivo doméstico con el aspecto de una típica báscula de baño para predecir y prevenir las úlceras del pie diabético. Este escáner remoto combina algoritmos avanzados especiales, sensores, visión informática y aprendizaje automático. Al prevenir las úlceras, esta tecnología puede evitar cientos de miles de amputaciones y, con ello, mejorar la vida de los pacientes y ahorrar millones cada año a los sistemas sanitarios.
Objetivo
Diabetic foot ulcers (DFU) lead to approximately 150,000 amputations and €23 billion in costs in Europe each year. Of the
60 million diabetics in Europe , 1.5 million currently have a diabetic foot ulcer and 15 million will develop on at some point in
their life . Each ulcer takes 3-6 months to heal and costs upwards of €14,000 to treat, however, if hospitalisation or
amputation is required these costs can be as high as €100,000 . Diabetic foot ulcers pose a significant burden on healthcare
systems around the world. The NHS in England spends almost 1% of its entire annual budget (£1.13 billion) on the diabetic
foot. Almost all of these ulcers and amputations are preventable through early identification and proper care. Bluedrop
Medical are developing a remote monitoring system that uses computer vision and machine learning to predict and prevent
diabetic foot ulcers (DFUs). The home-based device, taking the form of a bathroom scales, performs a daily scan of the
patient’s feet. In 10 seconds, thermal and photographic data is collected and sent to the cloud. Advanced algorithms monitor
daily foot scans to detect DFUs before they develop, providing actionable alerts to both patient and healthcare provider. The
technique of temperature monitoring has been proven to prevent 70% of DFUs and Bluedrop Medical are building this
technique into an easy and quick to use device enabled by advanced sensor technology, computer vision algorithms and
machine learning. By preventing ulcers, the technology can prevent hundreds of thousands of amputations, improving lives
and saving healthcare systems millions of euro each year. Bluedrop Medical is targeting the highest risk patients who
currently have a 30-40% annual incidence of ulceration by preventing ulcers in this group a potential average saving of
€3,000 per patient can be achieve
Ámbito científico
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- medical and health sciencesclinical medicineendocrinologydiabetes
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEInst-2018-2020-2
Régimen de financiación
SME-2 - SME instrument phase 2Coordinador
H91 GALWAY
Irlanda
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.