The AI4HF project is divided into subsections, called Work Packages (WPs). All project partners collaborate and work in a multidisciplinary matter on these different WPs. Every WP has to deliver their achieved results (also deliverables) to collectively drive the AI4HF project towards its ambitious goal of trustworthy AI in heart failure risk assessment. The obtained research results within the AI4HF project will be shared here.
The AI4HF project is being conducted by a consortium of 16 international (associated) partners from Spain, Greece, Turkey, Czechia, Tanzania, Peru, Portugal, Germany, France, Belgium, United Kingdom and the Netherlands. Our project brings together a multidisciplinary team of healthcare professionals, researchers, data scientists, and AI experts. We also collaborate with healthcare institutions and organizations globally to ensure a comprehensive and diverse dataset. AI4HF is an initiative of both clinical and technical partners as well as patient representatives.
CHF is a complex condition with varying degrees of severity and unique patient profiles. Personalized risk assessment enables healthcare providers to tailor interventions and treatment plans to each patient's specific needs, leading to more effective care and improved quality of life.
The AI algorithm will analyze a wide range of patient data, including medical history, diagnostic tests, lifestyle factors, and more. It uses this information to identify individual risk factors and predict the likelihood of CHF-related events. The algorithm continuously learns and improves from new data and research.
Trustworthy AI refers to artificial intelligence systems that can be trusted to operate reliably, ethically, and securely, while also ensuring fairness and transparency in their decision-making processes.
Absolutely. We prioritize the highest standards of data privacy and security. Patient data is anonymized and encrypted to protect confidentiality. We comply with all relevant data protection regulations and FUTURE guidelines.
