The (Heart and) Soul of a Human Creation: Designing Echocardiography for the Big Data Age

Author:

Arnaout RimaORCID,Hahn Rebecca T.,Hung Judy W.,Jone Pei-Ni,Lester Steven J.,Little Stephen H.,Mackensen G. Burkhard,Rigolin Vera,Sachdev Vandana,Saric Muhamed,Sengupta Partho P.,Strom Jordan B.,Taub Cynthia C.,Thamman Ritu,Abraham Theodore

Funder

NHLBI

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference4 articles.

1. Machine learning and the future of cardiovascular care: JACC State-of-the-Art Review;Quer;J Am Coll Cardiol,2021

2. ENRICHing medical imaging training sets enables more efficient machine learning;Chinn;J Am Med Inform Assoc,2023

3. We built this house; it’s time to move in: leveraging existing DICOM structure to more completely utilize readily available detailed contrast administration information;Hirsch;J Digit Imaging,2015

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4. Echoing Errors: The Problem of Uncurated “Big Data” in Echocardiography;Journal of the American Society of Echocardiography;2023-11

5. ChatGPT Helped Me Write This Talk Title, but Can It Read an Echocardiogram?;Journal of the American Society of Echocardiography;2023-10

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