VUB TechTransfer is proud to announce that the iHealthyPath project from the VUB Electronics and Informatics (ETRO) department has received a Proof of Concept (PoC) grant from Innoviris. The project aims to assess whether a multimodal AI-based Clinical Decision Support System (CDSS) can provide measurable added value for clinical decision-making in the management of Pulmonary Embolism (PE).
Addressing the diagnostic gap and follow-up challenge
Pulmonary Embolism (PE) is a major cause of cardiovascular death, with up to 30% mortality if undiagnosed. While current AI tools rely primarily on imaging, iHealthyPath explores the integration of Electronic Health Records (EHRs) with medical images. This holistic approach could allow the system to not only detect PE but also predict risk and patient outcomes, providing clinicians with actionable insights relevant to follow-up care. Should the concept be validated, this strategy could contribute to improving patient outcomes while reducing hospital burden and healthcare costs.
Built for and by clinicians
A core pillar of the project is its co-design methodology. Physicians are directly involved in iteratively shaping the AI to ensure its outputs are interpretable, trustworthy, and aligned with real-world clinical workflows.
By addressing the critical need for earlier, more accurate PE prognosis, iHealthyPath seeks to reduce clinician workload and contribute to improved outcomes by supporting clinical decision-making. This project is a major step toward an AI-driven support system designed to make PE management more accurate, efficient, and human-centered.
Contact Abel Diaz Berenguer (Abel.Diaz.Berenguer@vub.be) for more information.