Health AI Partnership's (HAIP) Real-World AI Series
High-Throughput Precision Identification of Cardiac Amyloidosis in a Diverse Population
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Location
Online - Zoom
Date
May 9, 2024
3:30 PM EST/ 12:30 PM PST
Featuring
David Ouyang, MD, Cedars-Sinai Medical Center
Rohan Khera, MD, MS, Yale School of Medicine
About the Event
This session will focus on the progress of the project led by Dr, Ouyang “High-Throughput Precision Identification of Cardiac Amyloidosis in a Diverse Population”. This project evaluates the implementation of a machine-learning based opportunistic screening algorithm to help detect an underdiagnosed cardiac amyloidosis (CA), a rare fatal disease especially underdiagnosed among Black patients and the older adult patients. This project will apply a previously validated and published algorithm to existing echocardiogram images in an automated screening workflow to identify those at highest suspicion for cardiac amyloidosis for downstream evaluation by specialists. In addition to deploying the AI tool, the project will evaluate if the screening program is effective at identifying patients with cardiac amyloidosis, improves health outcomes, and is embraced by clinicians in the health system.
Add to Calendar2024-05-09 19:30:002024-05-09 20:30:00Health AI Partnership's (HAIP) Real-World AI Series
Location
Online - Zoom
Date
May 9, 2024
3:30 PM EST/ 12:30 PM PST
Featuring
David Ouyang, MD, Cedars-Sinai Medical Center
Rohan Khera, MD, MS, Yale School of Medicine
About the Event
This session will focus on the progress of the project led by Dr, Ouyang “High-Throughput Precision Identification of Cardiac Amyloidosis in a Diverse Population”. This project evaluates the implementation of a machine-learning based opportunistic screening algorithm to help detect an underdiagnosed cardiac amyloidosis (CA), a rare fatal disease especially underdiagnosed among Black patients and the older adult patients. This project will apply a previously validated and published algorithm to existing echocardiogram images in an automated screening workflow to identify those at highest suspicion for cardiac amyloidosis for downstream evaluation by specialists. In addition to deploying the AI tool, the project will evaluate if the screening program is effective at identifying patients with cardiac amyloidosis, improves health outcomes, and is embraced by clinicians in the health system.
Learn More and Register Here
[email protected]Coordinating Center for Diagnostic ExcellenceAmerica/Los_Angelespublic
