TY - JOUR
T1 - The 21st Annual Feigenbaum Lecture
T2 - Beyond Artificial: Echocardiography from Elegant Images to Analytic Intelligence
AU - Kutty, Shelby
N1 - Funding Information:
We acknowledge the following funding sources: American College of Cardiology Foundation — Pfizer Award, American Heart Association grant 12SDG9260001 , and the National Institutes of Health grants NIH/NIBIB R01 EB009050-01 and R41HD089823-01 .
Funding Information:
We acknowledge the following funding sources: American College of Cardiology Foundation ? Pfizer Award, American Heart Association grant 12SDG9260001, and the National Institutes of Health grants NIH/NIBIB R01 EB009050-01 and R41HD089823-01.
Publisher Copyright:
© 2020 American Society of Echocardiography
PY - 2020/10
Y1 - 2020/10
N2 - Echocardiography has always been a journey from scientific observation to clinical application. Whether in theranostics, understanding the performance of the systemic right ventricle, or uncovering the predictive power of echocardiographic data in congenital heart disease, the author's experiences highlight how echocardiographers at the frontier of scientific inquiry making observations today are inundated with data. It becomes apparent that new clinical applications, if they are to be successful, depend more than ever on effective management of the information we collect. In light of this realization, the 21st Feigenbaum lecture explores analytic intelligence—one path echocardiography might now take on its march from observation to application.
AB - Echocardiography has always been a journey from scientific observation to clinical application. Whether in theranostics, understanding the performance of the systemic right ventricle, or uncovering the predictive power of echocardiographic data in congenital heart disease, the author's experiences highlight how echocardiographers at the frontier of scientific inquiry making observations today are inundated with data. It becomes apparent that new clinical applications, if they are to be successful, depend more than ever on effective management of the information we collect. In light of this realization, the 21st Feigenbaum lecture explores analytic intelligence—one path echocardiography might now take on its march from observation to application.
KW - Analytic intelligence
KW - Machine learning
KW - Predictive modeling
KW - Right ventricular function
KW - Theranostics
KW - Ultrasound
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U2 - 10.1016/j.echo.2020.07.016
DO - 10.1016/j.echo.2020.07.016
M3 - Review article
C2 - 33010852
AN - SCOPUS:85091218941
SN - 0894-7317
VL - 33
SP - 1163
EP - 1171
JO - Journal of the American Society of Echocardiography
JF - Journal of the American Society of Echocardiography
IS - 10
ER -