Descrizione del progetto
Una soluzione innovativa per gli incidenti intraoperatori
Il progetto IBSEN FET ha sviluppato un software di intelligenza artificiale (IA) innovativo basato su algoritmi di apprendimento automatico senza supervisione. Il software studia il comportamento delle persone ed è adattato per la prevenzione e la correzione automatizzate di procedure chirurgiche ad alto rischio. Il progetto BESAFE, finanziato dall’UE, attingerà dai risultati di IBSEN FET, con l’intento di ridurre i danni intraoperatori e i costi chirurgici attraverso un software di supporto alle decisioni cliniche dotato di IA. Il progetto farà avanzare un piano aziendale dettagliato, dimostrerà l’utilizzo degli algoritmi di AI IBSEN, che riconoscono i modelli di comportamento, e creerà a un’opportunità di investimento ben congegnata per il capitale di rischio.
Obiettivo
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.
Campo scientifico
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-FETOPEN-2018-2019-2020-03
Meccanismo di finanziamento
CSA - Coordination and support actionCoordinatore
08197 BARCELONA
Spagna
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.