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Watching the risk factors: Artificial intelligence and the prevention of chronic conditions

Objective

Digital healthcare may prevent poor health. Personalised early risk prediction by artificial intelligence can empower citizens to adopt healthier habits and a better lifestyle. This project aims at defining a general personalised early risk prediction model that will be used to support individual preventive measures as well as early intervention. New digital tools are designed to empower both citizens and patients. Furthermore, the impact of the new digital tools on health and care pathways are investigated. Three main scenarios are included: 1. Chronic sun damage and the fight against skin cancer, 2. The late complications of diabetes mellitus and 3. The four main lifestyle risk factors in noncommunicable diseases. In scenario 1, a smartphone application estimates a person`s risk for sun damage and skin cancer. Both healthy persons and skin cancer patients are included. The analysis is based on user-collected data indicating previous and current sun exposure, skin type including a computer-based naevus classification and the family history of skin cancer. Persons at increased risk are educated on healthy sun exposure behaviour including sun screen use. In addition, they are asked to see their doctor for a total body skin examination. In scenario 2, a smartphone application estimates a person`s risk for late complications of diabetes. General lifestyle measures as well as blood sugar levels collected by the patient are used as input for the analysis. Persons at increased risk for complications are given specific advice and are asked to see their doctor. In scenario 3, a web-based tool to collect general lifestyle data in healthy populations is tested, emphasising the four main risk factors: Unhealthy diet, physical inactivity, tobacco use and harmful use of alcohol. All data in the project are analysed in a multidisciplinary approach including medical, sociological and behavioural outcomes.

Field of science

  • /engineering and technology/electrical engineering, electronic engineering, information engineering/information engineering/telecommunications/mobile phone
  • /medical and health sciences/clinical medicine/endocrinology/diabetes
  • /natural sciences/computer and information sciences/artificial intelligence
  • /medical and health sciences/clinical medicine/cancer/skin cancer

Call for proposal

H2020-SC1-DTH-2020-1
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

UNIVERSITETSSYKEHUSET NORD-NORGE HF
Address
Sykehusveien 38
9019 Tromso
Norway
Activity type
Research Organisations
EU contribution
€ 1 735 475

Participants (11)

UNIVERSITATEA DE MEDICINA SI FARMACIE CAROL DAVILA DIN BUCURESTI
Romania
EU contribution
€ 570 118
Address
Dionisie Lupu 37
020021 Bucuresti
Activity type
Higher or Secondary Education Establishments
UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET
Norway
EU contribution
€ 710 000
Address
Hansine Hansens Veg 14
9019 Tromso
Activity type
Higher or Secondary Education Establishments
UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
Spain
EU contribution
€ 812 518
Address
C/ Juan De Quesada 30
35001 Las Palmas De Gran Canaria
Activity type
Higher or Secondary Education Establishments
UNIVERSITETET I OSLO
Norway
EU contribution
€ 149 870
Address
Problemveien 5-7
0313 Oslo
Activity type
Higher or Secondary Education Establishments
CORK INSTITUTE OF TECHNOLOGY
Ireland
EU contribution
€ 162 218
Address
Rossa Avenue Bishopstown
T12 Cork
Activity type
Higher or Secondary Education Establishments
CIAOTECH Srl
Italy
EU contribution
€ 527 328
Address
Via Palestrina 25
00189 Roma
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
NETSUN SOFTWARE SRL
Romania
EU contribution
€ 148 642
Address
Str Clucerului Nr 62-64 Sc 1 Ap 2
011367 Bucuresti
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
CONSIGLIO NAZIONALE DELLE RICERCHE
Italy
EU contribution
€ 465 072
Address
Piazzale Aldo Moro 7
00185 Roma
Activity type
Research Organisations
UNIVERSIDAD REY JUAN CARLOS
Spain
EU contribution
€ 495 197
Address
Calle Tulipan
28933 Mostoles
Activity type
Higher or Secondary Education Establishments
SENSOTREND OY
Finland
EU contribution
€ 187 342
Address
Tampellan Esplanadi 19A
33180 Tampere
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
MELANOMFORENINGEN
Norway
EU contribution
€ 36 220
Address
Destelleriveien 11
1483 Hagan
Activity type
Other