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ARTIFICIAL INTELLIGENCE ENHANCEMENT OF SURGICAL TECHNOLOGY FOR THE REDUCTION OF HUMAN BEHAVIOUR-RELATED SURGICAL ACCIDENTS

Project description

Innovative solution for intraoperative accidents

The IBSEN FET project developed an innovative artificial intelligence (AI) software based on unsupervised machine learning algorithms. The software reads the behaviour of individuals and is adapted for automated prevention and correction of high-risk surgical actions. The EU-funded BESAFE project will work on the results of IBSEN FET, aiming to reduce intraoperative casualties and surgery costs through a clinical decision support software provided with AI. The project will advance a detailed business plan, demonstrate the use of AI IBSEN algorithms that recognise models of behaviour, and generate a well-studied investable opportunity for venture capital.

Call for proposal

H2020-FETOPEN-2018-2020

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Sub call

H2020-FETOPEN-2018-2019-2020-03

Coordinator

AFFERENT TECHNOLOGIES SL
Net EU contribution
€ 60 000,00
Address
Passeig Rubi 72 Sant Cugat Del Valles
08197 Barcelona
Spain

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Region
Este Cataluña Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00

Participants (1)

UNIVERSIDAD CARLOS III DE MADRID
Spain
Net EU contribution
€ 40 000,00
Address
Calle Madrid 126
28903 Getafe (Madrid)

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00