Deep learning for fully automated echocardiographic measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view

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Deep learning for fully automated echocardiographic measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view

Session: Is artificial intelligence the solution to imaging conundrums?

Topic: Morphology, Dimensions, Volumes and Mass

Speaker: Doctor V. Holmstrom (Trondheim, NO)

Event: ESC Congress 2024

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About the speaker

Doctor Vegard Holmstrom

Norwegian University of Science and Technology, Trondheim (Norway)

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9 more presentations in this session

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Speeding up echocardiographic examination by automated generation of 2D imaging views from 3D volumetric data using machine learning

Speaker: Professor A. Lee (Sha Tin, HK)

Improving time-efficiency and accuracy in echocardiography: real-time automated measurements of left ventricular global longitudinal strain using deep learning

Speaker: Doctor V. Holmstrom (Trondheim, NO)

Multi-vendor validation of automated left ventricular analysis from 3D echocardiography using artificial intelligence

Speaker: Mr J. Dillon (Auckland, NZ)

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Is artificial intelligence the solution to imaging conundrums?

Speakers: Doctor V. Holmstrom, Doctor R. Botan, Doctor I. Waechter Stehle, Professor A. Lee, Doctor V. Holmstrom...

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ESC Congress 2024

30 August - 2 September 2024

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