TRUSTING A TRUSTworthy speech-based AI monitorING system for the prediction of relapse in individuals with schizophrenia.
This project uses AI to detect signs of psychotic relapse through changes in spontaneous speech. By analyzing speech samples from individuals at risk, the project aims to identify warning signals before symptoms fully emerge. The goal is to develop an application that delivers a message when risks of psychotic relapse are detected.
Artificial intelligence-based decision support system for risk stratification and early detection of heart failure in primary and secondary care.
STRATIFYHF aims to develop the first AI-based decision support system (DSS) to predict and diagnose heart failure. By integrating patient-specific data, the DSS will enable risk stratification, early diagnosis, and more accurate monitoring of disease progression. This project includes a mobile app to support self-management and help clinicians choose evidence-based prevention and treatment strategies.
Trustworthy AI Tools for the Prediction of Obesity Related Vascular Diseases.
AI-POD develops trustworthy AI tools to prevent and manage obesity-related vascular diseases. By integrating clinical, laboratory, and imaging data, the project aims to improve cardiovascular risk assessment and guide treatment decisions. An application will monitor diets and lifestyle, creating digital feedback between patients and clinicians.
Artificial Intelligence for early detection of non-communicable disease risk in people with breast cancer.
ARTILLERY aims to improve long-term health outcomes for women with breast cancer by using AI to detect early signs of chronic disease risk. The project develops AI tools that analyse CT scans to identify indicators of conditions such as cardiovascular disease.
Artificial intelligence-based Parkinson’s disease risk assessment and prognosis.
AI-PROGNOSIS focuses on improving the early diagnosis and management of Parkinson’s disease. The project will develop AI-based models to predict Parkinson’s disease risk and progression by combining health and real-world biomarker data, leading to a digital toolkit that supports informed and personalized care.
TRUSTWORTHY AI FOR IMPROVEMENT OF STROKE OUTCOMES.
TRUSTroke is developing an AI-based platform to improve the management and long-term monitoring of patients with ischaemic stroke. The platform is designed to support efficient, personalized patient care, with a particular focus on enabling essential monitoring during the chronic stages of stroke recovery.
AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth.
SmartCHANGE aims to prevent non-communicable chronic diseases (NCDs) by targeting risk factors in early life. This project is developing AI-based decision-support tools that assess health risks in youth and provide personalized strategies to promote healthier behaviors and reduce long-term disease risk across the lifespan.
Trustworthy Artificial Intelligence for Personalised Risk Assessment in Chronic Heart Failure.
AI4HF is an international research project developing the first trustworthy AI system for personalized heart failure care. It aims to create AI tools for personalised risk assessment and management of heart failure patients by combining advanced artificial intelligence algorithms, large-scale global cardiovascular data, and close collaboration between clinicians, researchers, and patients.
VASCUL-AID introduces an AI-based solution that identifies individuals at high risk of Abdominal Aortic Aneurysm (AAA) and Peripheral Arterial Disease (PAD) expansion or worsening. This approach enables earlier intervention, personalised prevention strategies, and more precise treatment decisions. This project aims to support clinicians with better tools, empower patients with clearer insights, and improve long-term outcomes.