Project description DEENESFRITPL 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. Show the project objective Hide the project objective Objective BESAFE seeks to support the exploitation of the results from the IBSEN FET project and capture a market opportunity as well as address a poignant societal need, the reduction of intra-operative accidents and surgery costs by means of clinical decision support software.IBSEN has led to the development of a general-purpose novel artificial intelligence tool based on unsupervised machine learning algorithms. The software learns from the behaviour of individuals and their outcomes. It can be adapted for automated early detection and correction of high-risk actions by members of surgical teams.The coordinator of the BESAFE consortium, Afferent Technologies, has expertise in prevention of accidental surgical nerve-damage, a costly and dramatic event, by means of electrophysiological technology. The BESAFE software, endowed with artificial intelligence from the ISEB project, has the potential for a quantum leap in the market.The key deliverables of BESAFE are a) the business plan, with detailed financials and market analysis, as well as an estimate of remaining technical milestones, as required to progress from the IBSEN deliverables to the final certifiable software, b) a demonstration of the use of the Artificial Intelligence IBSEN algorithms to recognise patterns of behaviour (high risk vs low risk) by analysis of machine-user interaction patterns.The final aim of BESAFE is to produce a well-studied investable opportunity for Venture Capital coinciding with an increased interest of these stakeholders in the Artificial Intelligence and Medical Technology spaces. Fields of science natural sciencescomputer and information sciencessoftwaremedical and health sciencesclinical medicinesurgerynatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) H2020-EU.1.2. - EXCELLENT SCIENCE - Future and Emerging Technologies (FET) Main Programme H2020-EU.1.2.1. - FET Open Topic(s) FETOPEN-03-2018-2019-2020 - FET Innovation Launchpad Call for proposal H2020-FETOPEN-2018-2020 See other projects for this call Sub call H2020-FETOPEN-2018-2019-2020-03 Funding Scheme CSA - Coordination and support action Coordinator AFFERENT TECHNOLOGIES SL Net EU contribution € 60 000,00 Address Passeig rubi 72 sant cugat del valles 08197 Barcelona Spain See on map Region Este Cataluña Barcelona Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Participants (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all UNIVERSIDAD CARLOS III DE MADRID Spain Net EU contribution € 40 000,00 Address Calle madrid 126 28903 Getafe (madrid) See on map Region Comunidad de Madrid Comunidad de Madrid Madrid Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
