AI-driven cardiac ultrasound analysis

Project Information

AI-driven cardiac ultrasound analysis

Grant agreement ID: 190190768

DOI

10.3030/190190768

Project closed

EC signature date 14 September 2022

Start date 1 August 2022

End date 31 January 2026

Funded under

• The European Innovation Council (EIC)

Total cost

€ 3 574 343,75

EU contribution

€ 2 500 000,00

Coordinated by

LIGENCE UAB
Lithuania

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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

Documents, reports (1)

D3.5 Scientific publication

Publications

Peer reviewed articles (7)

Fully Automatic AI-Based Quantification of LV Mass in Echocardiography

Author(s): Krunoslav Michael Sveric, Ivan Platzek, Stefanie Jellinghaus, Roxana Botan, Barış Cansız, F. Niklas Schietzold, Stephan Haussig, Michael Kaliske, Ralf-Thorsten Hoffmann, Axel Linke
Published in: JACC: Cardiovascular Imaging, Issue 19, 2025, ISSN 1936-878X
Publisher: Elsevier BV
DOI: 10.1016/J.JCMG.2025.09.014

Effect of image quality on automated evaluation of the left-sided heart volumes

Author(s): I Kazukauskiene, K Sablauskas, Q Ciampi, L Cortigiani, K Wierzbowska-Drabik, J D Kasprzak, J Lowenstein, A Karuzas, C Prota, N Gaibazzi, A Lepone, S Marconi, A Kiziela, R Arbucci, E Picano
Published in: European Heart Journal - Cardiovascular Imaging, Issue 26, 2025, ISSN 2047-2404
Publisher: Oxford University Press (OUP)
DOI: 10.1093/EHJCI/JEAE333.020

Left ventricular ejection fraction assessment: artificial intelligence compared to echocardiography expert and cardiac magnetic resonance measurements

Author(s): Patrycja Mołek-Dziadosz, Aleksandra Woźniak, Anna Furman-Niedziejko, Konrad Pieszko, Joanna Szachowicz-Jaworska, Tomasz Miszalski-Jamka, Maciej Krupiński, Marc R. Dweck, Jadwiga Nessler, Andrzej Gackowski
Published in: Polish Archives of Internal Medicine, 2025, ISSN 1897-9483
Publisher: "Medycyna Praktyczna" Spolka Jawna
DOI: 10.20452/PAMW.17104

Validation of a fully automated AI system for accurate left ventricular mass measurement in echocardiography

Author(s): K Sveric, I Platzek, S Haussig, A Linke
Published in: European Heart Journal - Cardiovascular Imaging, Issue 26, 2025, ISSN 2047-2404
Publisher: Oxford University Press (OUP)
DOI: 10.1093/EHJCI/JEAE333.039

Agreement between automated echocardiography and expert cardiologist for aortic valve hemodynamic parameters in severe aortic stenosis patients

Author(s): Z Abramikas, I Kazukauskiene, K Sablauskas, G Cesnaite, G Vrublevska, K Pugaciauskaite, G Balciunaite, S Glaveckaite
Published in: European Heart Journal - Cardiovascular Imaging, Issue 26, 2025, ISSN 2047-2404
Publisher: Oxford University Press (OUP)
DOI: 10.1093/EHJCI/JEAE333.033

Deep Learning‐Driven Automated Assessment of Left Ventricular Diastolic Function in Echocardiography

Author(s): Arnas Karužas, Laurynas Miščikas, Antanas Kiziela, Karolis Šablauskas, Ieva Kažukauskienė, Dovydas Verikas, Karolis Naskauskas, Gintarė Šakalytė, Gediminas Jaruševičius, Jurgita Plisienė, Vaiva Lesauskaitė
Published in: Echocardiography, Issue 42, 2025, ISSN 0742-2822
Publisher: Wiley
DOI: 10.1111/ECHO.70290

Artificial intelligence for automated evaluation of aortic measurements in 2D echocardiography: Feasibility, accuracy, and reproducibility

Author(s): Arnas Karužas, Justinas Balčiūnas, Mark Fukson, Dovydas Verikas, Dovydas Matuliauskas, Tautvydas Platūkis, Dovilė Vaičiulienė, Julija Jurgaitytė, Nora Kupstytė‐Krištaponė, Rūta Dirsienė, Gediminas Jaruševičius, Gintarė Šakalytė, Jurgita Plisienė, Vaiva Lesauskaitė
Published in: Echocardiography, Issue 39, 2022, ISSN 0742-2822
Publisher: Wiley
DOI: 10.1111/ECHO.15475