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FORNY20-FORNY2020

KVAL: CardioSmart - An accurate and efficient tool for assessing aortic stenosis

Awarded: NOK 0.50 mill.

Project Number:

338121

Project Period:

2022 - 2023

Funding received from:

Millions of patients worldwide require treatment for heart valve disorders every year. Aortic stenosis (AS) is one of the most common and serious heart valve diseases, where 50% of patients with untreated symptoms die within a two-year period. Life expectancy can be significantly increased with timely detection and treatment: over 90% of the patients who undergo aortic valve replacement still have a well-functioning valve 10 years after the surgery. Yet, many patients with symptomatic AS experience a delayed diagnosis; and in about 30% of the cases, diagnosis is uncertain due to inconsistencies in the current standard of care. This project is developing CardioSmart – an automated workstation for cardiologists that provides precise and timely diagnostics of cardiovascular diseases. The invention uses an innovative mathematical model and a real time method for assessing and continuously monitoring cardiac data to detect abnormalities in the cardiovascular system. The solution will be a robust decision support tool for physicians, helping to significantly reduce the time from AS symptoms to accurate diagnosis and treatment. In addition to the direct health benefits that CardioSmart can bring to the patients, we estimate that employing CardioSmart in a medium sized hospital can increase the productivity of cardiac care departments by 20-30% annually.

This Qualification project focused on moving the technical readiness of the CardioSmart system from TRL3 to TRL4. All the planned milestones have been met. Technical outcomes have been discussed with a regulatory expert in terms of their quality and relevance for the CardioSmart system’s envisioned pathway towards CE marking, as well as followed up with an IP attorney. The key impact of the project results is triggering the next phase of development focusing on clinical testing with AS patients and further development of the software.

Funding scheme:

FORNY20-FORNY2020