Project description
Enhancing efficiency in interventional radiology with AI and robotics
Trust in technology is built on relationships, not just technical features. AI-powered assistive technologies are set to become trusted companions in Neurology and Oncology. The EU-funded SHERPA project aims to enhance the efficiency of interventional radiologists (IRs), a group often overwhelmed by their responsibilities, by evaluating automated workflows in minimally invasive neurovascular interventions (such as brain aneurysms) and interventional oncology (like liver tumour ablations). Leveraging advancements in AI and robotics, workflow automation will reduce errors and improve the accuracy of clinical decisions, boosting job satisfaction and confidence among IRs. By automating repetitive tasks, radiologists can focus more on interventions and patient interactions, leading to improved teamwork and better workload distribution.
Objective
SHERPA will empower interventional radiologists (IR), an overburdened group of specialists who use medical imaging and image-guided devices to perform complex, high-risk interventions.
Since trust in technology is rooted in relationships – not in a technical specification or feature, AI-powered assistive technologies will be delivered as a seamless, trusted companion (a ‘sherpa’) across the workflow for two clinical domains (Neurology and Oncology), validated with IR and patients through seven clinical studies, and made available to other medical specialities through a framework methodology and outreach to the entire IR community. The automated workflows and their benefits at user, patient and system levels will be evaluated for two clinical applications: 1. Minimally invasive neurovascular interventions (brain aneurysms) and 2. Minimally invasive interventional oncology (liver tumour ablations).
Fueled by cutting-edge advances in AI and robotics yet profusely human-centric, workflow automation will minimise the risk of errors and inconsistencies, ensuring the accuracy and reliability of clinical decisions and boosting IR confidence and job satisfaction. As repetitive, time-consuming tasks can be performed automatically, the IR will gain the much-needed relief to focus on the intervention and the interaction with the patient; the expertise threshold will be decreased, improving workload distribution and team dynamics. Through generalising principles and methodological framework, the insights from SHERPA will extend their benefits to other medical specialties dealing with complex workflows and critical decision-making.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine angiology vascular diseases
- social sciences sociology industrial relations automation
- medical and health sciences clinical medicine oncology
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
- medical and health sciences basic medicine neurology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.1 - Health
MAIN PROGRAMME
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HORIZON.2.1.7 - Innovative Health Initiative
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-JU-IHI-2024-07-single-stage
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
5684 PC Best
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.