NCT04910191

Brief Summary

Technological developments in the recent decades has enabled the integration of electronic and digital components in the stethoscope design, in an attempt to improve auditory performance and, moreover, to assist in improving user's diagnostic accuracy by incorporating computerized, digital technologies, artificial intelligence capabilities and deep-learning-based algorithms enhancing these devices. We believe that these technologies can be used to significantly improve the diagnostic performance in the primary care phase, by means of a sophisticated stethoscope that enables auscultation to sounds and signals typically found in the sub-sound frequency level. Their transformation into the sound range, and the use of artificial intelligence and machine learning techniques to characterize sound patterns that correspond to specific problems or diseases can substantially enhance the physician's or other care giver's performance to the benefit of the patients. At this stage, the software in development does not purport to make diagnostic decisions, but only to provide information that will enhance decision and diagnosis making process, therefore enable a more accurate and definitive diagnostic decision and perhaps decrease the number of additional diagnostic tests requested.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
200

participants targeted

Target at P50-P75 for not_applicable covid19

Timeline
Completed

Started May 2020

Typical duration for not_applicable covid19

Geographic Reach
1 country

3 active sites

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

May 27, 2020

Completed
9 months until next milestone

First Submitted

Initial submission to the registry

February 23, 2021

Completed
3 months until next milestone

First Posted

Study publicly available on registry

June 2, 2021

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2021

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2021

Completed
Last Updated

June 2, 2021

Status Verified

February 1, 2021

Enrollment Period

1.5 years

First QC Date

February 23, 2021

Last Update Submit

May 30, 2021

Conditions

Keywords

COVID-19DiagnosticViral infection diseaseElectronic stethoscope

Outcome Measures

Primary Outcomes (2)

  • Performance outcome

    Detection and identification of pulmonary sound signals ranging from infra-sound to auditory sound which are typical to specific pathologies of COVID-19

    Through study completion, an average of 1 year

  • Performance outcome

    Use machine learning technologies to identify the above sound patterns and corresponding pathologies

    through study completion, an average of 1 year

Study Arms (1)

Open Label

EXPERIMENTAL

Up to 200 patients will participate in this open study. Before each examination with the study device, data from each patient (Current medical condition, medical history and demographic data) will be inserted to a computer and added to the database of the study for further processing in conjunction with the study device results. The study device electronic stethoscope membrane will be put on the patient's chest area in predefined anterior and posterior points. At the end of each examination the data will be transferred to a computer and stored in the patient's file. Each patient will be requested to attend the examination once.

Diagnostic Test: Electronic stethoscope

Interventions

Electronic stethoscopeDIAGNOSTIC_TEST

Electronic stethoscope

Also known as: VOQX
Open Label

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patients over the age of 18 years
  • RT-PCR positive for COVID 19
  • Patients diagnosed with the following pulmonary pathology:
  • Pneumonia
  • Pulmonary edema
  • Bronchitis
  • Acute asthmatic attack
  • Emphysema
  • Or Normal (e.g. asymptomatic patients)
  • The diagnosis is confirmed if possible, by:
  • Anamnesis
  • Physical examination
  • X-ray
  • Suggestive blood test - CBC
  • Pulse oximetry

You may not qualify if:

  • Pregnant women
  • Chest malformation
  • Unconsciousness
  • Subject that need a guardian
  • Weigh above 150 Kg.
  • Patients with current shortness of breath
  • Patients currently assisted by breathing machine such as CPAP or other

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

Barzilai Medical Center

Ashkelon, 7830604, Israel

RECRUITING

Hille Yaffe Medical Center

Hadera, 38100, Israel

RECRUITING

Shamir Medical Center (Assaf Harofah)

Zrifin, 703000, Israel

RECRUITING

MeSH Terms

Conditions

COVID-19Disease

Condition Hierarchy (Ancestors)

Pneumonia, ViralPneumoniaRespiratory Tract InfectionsInfectionsVirus DiseasesCoronavirus InfectionsCoronaviridae InfectionsNidovirales InfectionsRNA Virus InfectionsLung DiseasesRespiratory Tract DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • David Linhard

    Sanolla

    STUDY DIRECTOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
SCREENING
Intervention Model
SINGLE GROUP
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 23, 2021

First Posted

June 2, 2021

Study Start

May 27, 2020

Primary Completion

December 1, 2021

Study Completion

December 1, 2021

Last Updated

June 2, 2021

Record last verified: 2021-02

Locations