Detection of Heart Conditions Using Artificial Intelligence

NCT ID: NCT04933890

Last Updated: 2022-12-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

68 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-06-01

Study Completion Date

2021-12-31

Brief Summary

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The purpose of this study is to evaluate how Eko AI performs in the real world, front-line setting where the availability of sophisticated, expensive diagnostic tools is limited, and where there is a premium on detecting VHD early in its course.

Detailed Description

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Echocardiography is the state of the art for diagnosing VHD. However, without an effective pre-screening tool, many echocardiograms ("echos") are being ordered unnecessarily. A recent study found that greater than 66% of all echos performed in the United States do not alter clinical management, while an additional 4% may be deemed inappropriate altogether.

Because of this, echos now make up a disproportionately large segment of healthcare expenditure. Each year, 1 in 5 Medicare enrollees receives an echo at a total cost of $1.2 billion, or 11% of total Medicare spending on imaging services. This is compounded by the fact that an estimated 35 million Americans live in medically underserved areas, where patients must travel an average of 56 miles to see a specialist and receive an echo. This does not encourage compliance, and only adds to cost, lost working hours, and inconvenience.

There is therefore a growing, unmet need for better VHD screening tools. Tools that will consistently, reliably, quickly, and cheaply identify VHD when it is early and asymptomatic, when patients can be managed early and appropriately, and when they are at the lowest risk from an intervention. Such a tool will have a positive impact on the cost of care, patient and provider experience, and healthcare outcomes.

The FDA-cleared Eko CORE and Eko DUO electronic stethoscopes offer clinicians a familiar and inexpensive tool that is widely accepted by patients and providers, while at the same time offer sensors and artificial intelligence technology that can improve screening and detection of medical conditions such as VHD. Both the CORE and the DUO feature sound amplification during auscultation - the CORE also offers active noise cancellation - which improves the ability of the clinician to detect nuanced changes in heart sounds.

Conditions

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Left Ventricular Dysfunction Heart Failure

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Interventions

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Use of Eko DUO electronic stethoscope

Auscultation of heart sounds using electronic stethoscope

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* English-speaking adults who are 18 years and older
* Able and willing to provide informed consent
* Complete a clinical echocardiogram within 7 days before or after study procedures

Exclusion Criteria

* Unwilling or unable to provide informed consent
* Patients who are hospitalized
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Eko Devices, Inc.

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Parker Jewish Institute of Health Care and Rehabilitation

New Hyde Park, New York, United States

Site Status

Countries

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United States

Other Identifiers

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2021.5

Identifier Type: -

Identifier Source: org_study_id