Artificial Intelligence Guided Echocardiographic Screening of Rare Diseases (EchoNet-Screening)

Part of paid clinical trials in Los Angeles, California.

Sponsor
Cedars-Sinai Medical Center
Study ID
NCT05139797
Status
Recruiting
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Conditions

  • Cardiac Amyloidosis

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • EchoNet-LVH screening for cardiac amyloidosis — OTHER
    An AI algorithm identifies LVH, low voltage, and high suspicion for cardiac amyloidosis. The intervention is the suspicion score. Patients with high suspicion score will be referred to specialty clinic for standard of care evaluation, screening, and treatment as determined by physicians.

Study Details

Despite rapidly advancing developments in targeted therapeutics and genetic sequencing, persistent limits in the accuracy and throughput of clinical phenotyping has led to a widening gap between the potential and the actual benefits realized by precision medicine. Recent advances in machine learning and image processing techniques have shown that machine learning models can identify features unrecognized by human experts and more precisely/accurately assess common measurements made in clinical practice. The investigators have developed an algorithm, termed EchoNet-LVH, to identify cardiac hypertrophy and identify patients who would benefit from additional screening for cardiac amyloidosis and will prospectively evaluate its accuracy in identifying patients whom would benefit from additional screening for cardiac amyloidosis.

Key Dates

Start date
Nov 18, 2021
Status verified
Jun 2025
Primary completion
Jan 1, 2026
Completion
Jun 1, 2027

Study Design

Enrollment
300 participants (estimated)

Arms

  • Arm: Artificial Intelligence Screening for Cardiac Amyloidosis
    An artificial intelligence algorithm will produce a probability of cardiac amyloidosis that will trigger referral to specialty clinic for further evaluation.

Primary Outcome Measure

Number of New Diagnoses of Cardiac Amyloidosis Found [ Time Frame: 6 months ]

Locations (1)

FacilityCityStateZIPSite coordinators
Cedars-Sinai Medical Centre (Los Angeles)Los AngelesCalifornia90048
Lily Stern, MD
[email protected]
310-248-8300

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By research site
Cedars-Sinai Medical Centre (Los Angeles)· Los Angeles, CA

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