OMI AI ECG Model - application for more accurate heart attack diagnosis

Project Information

OMI AI ECG Model

Grant agreement ID: 101165721

DOI

10.3030/101165721

EC signature date 27 June 2024

Start date 1 January 2024

End date 30 June 2026

Funded under

• The European Innovation Council (EIC)

Total cost

€ 4 495 966,50

EU contribution

€ 2 499 999,00

Coordinated by

POWERFUL MEDICAL SRO
Slovakia

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Other (1)

Webinar about the OMI AI ECG Model

A webinar is held to effectively communicate project results to a relevant audience, such as interventional cardiologists and emergency physicians.

Publications

Peer reviewed articles (3)

Artificial Intelligence Driven Prehospital ECG Interpretation for the Reduction of False Positive Emergent Cardiac Catheterization Lab Activations: A Retrospective Cohort Study

Author(s): Peter O. Baker, Shifa R. Karim, Stephen W. Smith, H. Pendell Meyers, Aaron E. Robinson, Ishmam Ibtida, Rehan M. Karim, Gabriel A. Keller, Kristie A. Royce, Michael A. Puskarich
Published in: Prehospital Emergency Care, 2024, ISSN 1090-3127
Publisher: Informa UK Limited
DOI: 10.1080/10903127.2024.2399218

Application of the Artificial Intelligence Model for Detection of Electrocardiographic Signs of Coronary Occlusion in Patients with Non ST-Elevation Acute Coronary Syndrome

Author(s): Sviatoslav A. Kalashnikov, Sergii V. Salo, Andrii V. Stepaniuk, Sabi Sandu, Vasyl V. Lazoryshynets
Published in: Ukrainian Journal of Cardiovascular Surgery, Issue 32, 2024, ISSN 2664-5971
Publisher: Professional Edition Eastern Europe
DOI: 10.30702/ujcvs/24.32(02)/KS025-1721

From ST-Segment Elevation MI to Occlusion MI

Author(s): Jesse McLaren, José Nunes de Alencar, Emre K. Aslanger, H Pendell Meyers, Stephen W. Smith
Published in: JACC: Advances, Issue 3, 2024, ISSN 2772-963X
Publisher: Elsevier BV
DOI: 10.1016/j.jacadv.2024.101314