Evaluation of the AudibleHealth Dx AI/ML-Based Dx SaMD Using FCV-SDS in the Diagnosis of COVID-19 Illness

CompletedOBSERVATIONAL
Enrollment

1,126

Participants

Timeline

Start Date

January 10, 2022

Primary Completion Date

May 3, 2022

Study Completion Date

May 3, 2022

Conditions
COVID19
Interventions
DIAGNOSTIC_TEST

Diagnostic Software as Medical Device

"AudibleHealth Dx is an investigational Dx SaMD consisting of an ensemble of software subroutines that interacts with a proprietary database of signal data signatures (SDS) using Artificial Intelligence/Machine Learning (AI/ML) to analyze forced cough vocalization signal data signatures (FCV-SDS) for diagnostic purposes. The intended use for the AudibleHealth Dx AI/ML-based Dx SaMD using FCV-SDS is for the diagnosis of acute and chronic illnesses.~The AudibleHealth Dx is a cloud-based AI/ML (locked ML) diagnostic software as medical device (Dx SaMD) with a mobile app based graphical user interface (GUI) designed to operate with COTS Android Operating System (OS) and Apple OS based mobile devices. The AudibleHealth Dx system uses a forced cough vocalization (FCV) signal data signature (SDS) to diagnose COVID-19 illness in ambulatory adults. Results are sent to ordering physicians, State Health Departments, and participants using Health Level 7 (HL7) compliant communication protocols."

Trial Locations (1)

33612

University of South Florida, Tampa

Sponsors
All Listed Sponsors
collaborator

University of South Florida

OTHER

collaborator

R. P. Chiacchierini Consulting, LLC

INDUSTRY

collaborator

Analytical Solutions Group, Inc.

UNKNOWN

collaborator

Renaissance Worldwide Solutions, LLC

UNKNOWN

collaborator

Medical & Regulatory Affairs Specialists, LLC

UNKNOWN

lead

AudibleHealth AI, Inc.

INDUSTRY

NCT05175690 - Evaluation of the AudibleHealth Dx AI/ML-Based Dx SaMD Using FCV-SDS in the Diagnosis of COVID-19 Illness | Biotech Hunter | Biotech Hunter