CAPTION AI to Minimize Risk of COVID Exposure

NCT ID: NCT04336774

Last Updated: 2020-08-10

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

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

WITHDRAWN

Clinical Phase

NA

Study Classification

INTERVENTIONAL

Study Start Date

2020-07-31

Study Completion Date

2020-11-09

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Participants scheduled for for an echocardiogram (echo) and being evaluated for, or is positive for COVID-19 will be asked if they would be willing to have their echo done using a new software program on one of the hand-held ultrasound scanners.

The new software program guides the investigator, or any other non-sonographer, to take the best possible pictures of the participants heart. The prior version of this software is already being used clinically and is FDA approved. The main reason for using the updated version is that it's faster and better in terms of guiding the user.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

To enable healthcare professionals that are not proficient in transthoracic echo (TTE) to acquire images in patients being evaluated for or positive for COVID-19. By leveraging the capabilities of the Caption AI which is designed to train novice users on how to acquire TTE, this would minimize the risk of sonographers to be exposed to COVID-19. Additionally, minimizing sonographer interaction with patients being evaluated for or positive for COVID 19 minimizes the risk of sonographers as vectors for transmission to other patients. Lastly, since the Caption AI device will be dedicated to the COVID wards and COVID ICU and not transported to other locations, use of the CAPTION AI device will help to limit viral transmission via the surfaces of the ultrasound machine. These images will be assessed by qualified medical professionals for diagnosis.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

COVID-19

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Echocardiogram patients

Patients scheduled to have an echocardiogram (echo) and who are also being evaluated for, or are positive for COVID-19.

Group Type EXPERIMENTAL

Caption AI

Intervention Type DEVICE

Software program that guides the investigator or any other non-sonographer to take the best possible pictures of the heart.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Caption AI

Software program that guides the investigator or any other non-sonographer to take the best possible pictures of the heart.

Intervention Type DEVICE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Duke patients within the MICU and COVID overflow areas
* transthoracic echocardiogram ordered by their provider
* suspected or positive for COVID-19.
* Patients who consent to participating in the study or Physician discretion that information to be gained is important to the patient
* Patients ≥18 years old

Exclusion Criteria

* Unable to lie flat for study
* Patients unwilling to give consent
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Caption Health, Inc.

INDUSTRY

Sponsor Role collaborator

Duke University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Sreekanth Vemulapallli, MD

Role: PRINCIPAL_INVESTIGATOR

Duke University

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Duke Health

Durham, North Carolina, United States

Site Status

Duke University Medical Center

Durham, North Carolina, United States

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

pro00105212

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

AI ECHO INSIGHT RCT for Automated Echo Reporting
NCT07229300 ENROLLING_BY_INVITATION NA