NCT05297877

Brief Summary

The aim of the study is to evaluate the effectiveness of artificial intelligence (A.I.) cardiac ultrasound technology in teaching point of care cardiac ultrasound (POCUS Cardiac).

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
50

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Jan 2022

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

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

January 14, 2022

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

March 7, 2022

Completed
21 days until next milestone

First Posted

Study publicly available on registry

March 28, 2022

Completed
2.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2024

Completed
Last Updated

March 24, 2023

Status Verified

March 1, 2023

Enrollment Period

2.9 years

First QC Date

March 7, 2022

Last Update Submit

March 23, 2023

Conditions

Keywords

Cardiac Ultrasound

Outcome Measures

Primary Outcomes (1)

  • Effectiveness of artificial intelligence (A.I.) cardiac ultrasound technology in teaching point of care cardiac ultrasound vs conventional echo machine

    Evaluate the effectiveness between AI and conventional echo machine by pre and post-session MCQs, and post intervention evaluation of practical skills using echo machine

    Study till 1 month post-study

Study Arms (2)

AI Machine

EXPERIMENTAL

All study participants will undergo a full day (roughly 8 hours) training programme consisting of a pre-test MCQ, a didactic lecture, hands-on training session, a post-test MCQ, and a practical evaluation. They will be randomised to using an A.I. ultrasound machine for teaching.

Other: Experimental AI Echo Machine

Conventional Machine

OTHER

All study participants will undergo a full day (roughly 8 hours) training programme consisting of a pre-test MCQ, a didactic lecture, hands-on training session, a post-test MCQ, and a practical evaluation. They will be randomised to using a conventional ultrasound machine for teaching.

Other: Conventional Echo Machine

Interventions

Participants will go through the training programme using an AI machine for learning.

AI Machine

Participants will go through the training programme using a conventional machine for learning.

Conventional Machine

Eligibility Criteria

Age19 Years - 30 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Medical students with no prior training in point of care cardiac ultrasound

You may not qualify if:

  • Medical students who have received prior training in point of care cardiac ultrasound
  • Participants who are unable to complete the entire training programme (pre-training MCQ, simulation session, post-training MCQ, practical evaluation, follow up practical evaluation one month later)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

National University of Singapore

Singapore, Singapore

RECRUITING

Study Officials

  • Suresh Paranjothy

    National University Health System

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Suresh Paranjothy

CONTACT

Vanessa Chua

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

March 7, 2022

First Posted

March 28, 2022

Study Start

January 14, 2022

Primary Completion

December 1, 2024

Study Completion

December 1, 2024

Last Updated

March 24, 2023

Record last verified: 2023-03

Data Sharing

IPD Sharing
Will not share

Locations