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Integrating AI in Stroke Neurorehabilitation

Project description

DEENESFRITPL

AI for safer clinical decision-making in rehabilitation

Artificial intelligence is believed to benefit healthcare by increasing the efficiency of clinicians, improve the delivery of rehabilitation practices and identify the interventions with the most successful outcomes. However, detailed guidelines and operating procedures are necessary for utilising AI in healthcare applications. To address this need, the EU-funded AISN project proposes to develop an AI platform that integrates various aspects of a patient’s journey through rehabilitation. The goal is to ensure an ethical and trustworthy deployment of AI in healthcare. Various data acquisition and clinical interpretation methods will be validated alongside interventions and model-based prediction strategies towards safer AI-based decision-making.

Objective

Health services are increasingly moving towards a treatment continuum aligned with the patient journey. This transition will critically depend on the successful deployment of trustworthy AI-enhanced technologies that are accurate, secure, and trusted. The AISN project will develop and validate operating procedures and guidelines for integrating AI in a healthcare continuum, focussing on post-stroke rehabilitation. AISN delivers a representative AI health platform built from integrating validated platforms for data acquisition and access, clinical interpretation, whole-brain simulation, clinically validated intervention delivery and optimization and model-based prediction. The AISN integrated platform will be validated in the clinical context of rehabilitation in the outpatient and at-home phase and facilitate a concrete assessment of the fundamental ways in which AI-enhanced clinical decision-support will change the care pathway and the formulation of novel AI compatible treatment guidelines. AISN ensures an ethical approach by developing legal and ethical guidelines for the robust, fair, and trustworthy deployment of AI in health and validating acceptance and transparency of its solutions. Building on the AISN platform, the project will test current standard operating procedures for integrating AI in health care and formulate and validate new ones where needed. The AISN guidelines and procedures will emphasize the evidence base and safety of clinical interventions, transparency, prognostics at varying time-scales, personalization of interventions, access to disease-specific information by clinicians, patients and their carers, and assure that the potential of AI is fully developed in the service of value-based medicine satisfying standards of security and safety. We will go beyond currently available guidelines and frameworks by emphasizing explainability, AI tools with evolving performance, and the dynamic interaction between users and algorithms.

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Call for proposal

HORIZON-HLTH-2021-DISEASE-04

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Funding Scheme

HORIZON-RIA - HORIZON Research and Innovation Actions

Coordinator

STICHTING RADBOUD UNIVERSITEIT
Net EU contribution
€ 907 125,00
Address
HOUTLAAN 4
6525 XZ Nijmegen
Netherlands

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Region
Oost-Nederland Gelderland Arnhem/Nijmegen
Activity type
Higher or Secondary Education Establishments
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Total cost
€ 907 125,00

Participants (12)

Partners (2)

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Last update: 25 November 2022

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Permalink: https://cordis.europa.eu/project/id/101057655

European Union, 2024