Monday, February 10, 2025 2/10/2025

Radiomics approach to engineering an artificial intelligence based echocardiography platform to predict cardiovascular surgery and heart failure outcomes.

Award Number: R01HL157235
ORGANIZATION: NATIONAL HEART, LUNG, & BLOOD INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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SUMMARY In recent years, artificial intelligence has enabled automated systems to meet or exceed the performance of clinical experts across a wide variety of medical imaging tasks, in applications ranging from disease diagnosis using Chest X-Rays to survival analyses using histopathology slides. All current automated echocardiography systems – much like human echocardiography reads – are inherently reductionist in nature; a complex sequence and pattern of cardiac contraction is reduced to an outline of one or more chambers, from which a few global metrics of heart function are then calculated. Despite the staggering increase in usable data, the vast majority of information contained in time-resolved echocardiography videos remain woefully underutilized. As opposed to treating echocardiography studies as videos intended solely for visual interpretation, the ‘radiomics’ approach treats medical images as high-dimensional datasets to be mined with advanced computational tools. The overall goals of this project are to further develop and validate our novel, generalizable, multi-modal artificial intelligence (AI) platform for analyzing time resolved echocardiography studies, to address this underutilization. The impact of such an ECHO AI system is immediately perceptible in the field of heart failure. An estimated 6.5 million people suffer from heart failure in the United States. Across the spectrum of severity in this disease, echocardiography remains the cornerstone of screening and clinical diagnosis, a guide for medical management and pharmacotherapy, and an essential tool for planning acute lifesaving surgical interventions. We propose to build on our preliminary research and ready access to high quality paired echocardiographic and clinical datasets to achieve the following goals: 1) Develop a surgical decision support system for end-stage heart failure patients considered for left ventricular assist device (LVAD) implant. 2) Expand and generalize our ECHO AI tools to enable downstream prediction of long-term survival and development of heart failure, in both asymptomatic individuals and patients with pulmonary arterial hypertension 3) Cloud and hardware integration of our ECHO AI platform. The end result of our research will be a powerful ECHO AI tool with that is translatable, and integrated into clinical practice.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $523,474 )
2025	2025	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Cardiovascular Diseases Research	000	4	12/31/2024	NON-COMPETING CONTINUATION	$523,474
														Subtotal = $523,474

Issue Date FY: 2024 ( Subtotal = $577,287 )
2024	2024	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Cardiovascular Diseases Research	001	3	6/8/2024	NON-COMPETING CONTINUATION	$47,125
2024	2024	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Cardiovascular Diseases Research	000	3	12/20/2023	NON-COMPETING CONTINUATION	$530,162
														Subtotal = $577,287

Issue Date FY: 2023 ( Subtotal = $546,074 )
2023	2023	THE LELAND STANFORD JUNIOR UNIVERSITY	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Cardiovascular Diseases Research	001	2	3/10/2023	NON-COMPETING CONTINUATION	$54,607
2023	2023	LELAND STANFORD JUNIOR UNIVERSITY, THE	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Cardiovascular Diseases Research	000	2	12/19/2022	NON-COMPETING CONTINUATION	$491,467
														Subtotal = $546,074

Issue Date FY: 2022 ( Subtotal = $587,951 )
2022	2022	LELAND STANFORD JUNIOR UNIVERSITY, THE	450 JANE STANFORD WAY	STANFORD	CA	94305	SANTA CLARA	USA	Cardiovascular Diseases Research	000	1	12/29/2021	NEW	$587,951
														Subtotal = $587,951

Grand Total All Awards = $2,234,786

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Radiomics approach to engineering an artificial intelligence based echocardiography platform to predict cardiovascular surgery and heart failure outcomes.

Award Number: R01HL157235

ORGANIZATION: NATIONAL HEART, LUNG, & BLOOD INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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