Result description
The ASSIST project consortium will develop and validate the first AI-based solution for the early detection and accurate triage of acute myocardial infarction (AMI). The solution has two components:
1) Willem-ST will be built on Idoven’s AI-powered platform (Willem™). Willem™ can analyse ECG data from any lead, wearable, mobile and implantable device in an automatic and standardised way, augmenting both the cardiologist and emergency department clinician’s ability to identify, triage and diagnose patients at scale.
2) A cloud medical platform that facilitates a real-time alert of suspected AMI diagnosis as soon as the first ECG is performed and interpreted by Willem-ST.
The cloud software will optimise diagnosis and prognosis with a single platform to synchronise all the clinicians involved in AMI care protocols. This cloud connectivity platform will be able to capture ECG signals from both proprietary and standard ECG signal formats through hardware, cardiovascular information system (CVIS) and electronic medical records (EMR) integration.
Addressing target audiences and expressing needs
- Business partners – SMEs, Entrepreneurs, Large Corporations
- Use of research Infrastructure
- Collaboration
Idoven is driving innovation and enhancing patient care across several areas of healthcare.
– For medical device companies, Idoven’s AI technology reduces the repetitive and manual workload of physicians to interpret ECGs, by augmenting existing, non-AI electrocardiogram software to accurately triage and prioritise patients in need of care. AI-based algorithms integrate with existing clinical workflows and surface insights to evaluate and action.
– For pharmaceutical companies, Idoven develops ECG-based disease biomarkers towards patient identification, risk stratification and prognosis. Our AI technology is also applied to streamline and standardise cardiovascular safety monitoring during clinical trials and post-market approval. Addirionally, as many drugs need an ECG analysis before prescription. Idoven has developed a rapid ECG analysis program to eliminate barriers in the patient journey and accelerate treatment initiation.
– Idoven partners with sports organisations and corporate wellness teams to deliver at-home continuous ECG monitoring, to empower healthy individuals to check their heart, from anywhere, at anytime.
– We are working with world-class research centres in cardiovascular research. Our R&D demonstrate scientific advances in cardiology and machine learning, published in high-impact factor journals such as Nature, Heart, European Heart Journal, Circulation and Europace.
- Other Actors who can help us fulfil our market potential
- Research and Technology Organisations
- Academia/ Universities
R&D, Technology and Innovation aspects
Willem-ST will fill the unmet gap for end-to-end, AI-assisted solutions for AMI triage. Willem-ST will be a first-of-its-kind solution to improve the sensitivity of triaging patients with suspected ACS at first medical contact and reduce the delays in diagnosis time with the aid of AI.
As a result of the project, Willem-ST will deliver a high sensitivity to detect ST change in the triage of patients with suspected ACS and a reduction of time from first medical contact (FMC) to diagnosis. Willem-ST would also reduce false positive activations of cardiac catheterisation clinic laboratory (CCL) as a consequence of improving the positive predictive value of the triage done by the first medical contact, leading to cost savings in avoiding costly, unnecessary in-hospital interventions.
Willem-ST solution will benefit patients needing urgent care, improving the early identification and triage of AMI and chronic ischemic heart disease. It will also benefit citizens and institutions by reducing the burden of coronary diseases and by optimising the spending and costs of the healthcare system.