Objective
Despite significant advances in artificial intelligence (AI) for medical imaging, healthcare providers face a critical challenge: current deep learning models function as “black boxes” producing results without offering insight into how these conclusions are reached1. This lack of transparency limits clinical trust, hinders adoption in real-world practice, and ultimately restricts the potential of AI to improve patient care. MED-XAI project focuses on solving a major problem (Explainability and Interpretability) with the analysis of medical images in an AI-based healthcare system . The purpose of MED-XAI is to create an Explainable AI (XAI) model applicable to the diagnosis of Pulmonary Hypertension (PH) based on medical imaging data, making AI results easier for doctors to understand and trust. It combines advanced interpretation methods (SHAP, LIME, Grad-CAM, Bayesian inference) to provide clearer, more reliable insights that can be applied in real clinical practice. The innovation in the multi-method XAI integration is combined with the relatively new condition, PH, at a risky stage and is not widely studied. This research aligns with EU missions in digital health and responsible AI, which provides not only scientific progress but also practical impact. I will be based at the NOVA Medical School (NMS)’s Comprehensive Health Research Centre (CHRC), a multidisciplinary and multi-institutional research unit committed to innovation across medicine, public health, elderly care, nutrition, mental health, and technology. The project will be supervised by Professor Jorge MENDES, an expert in medical imaging, large data processing and with privileged access to healthcare providers' data.
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 health sciences public health
- natural sciences mathematics applied mathematics statistics and probability bayesian statistics
- medical and health sciences health sciences nutrition
- engineering and technology medical engineering diagnostic imaging
- natural sciences computer and information sciences data science data processing
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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.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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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-MSCA-2025-PF
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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.
1099 085 Lisboa
Portugal
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.