Use of Artificial Intelligence Cardiac Ultrasound Technology in Teaching Point of Care Cardiac Ultrasound

Use of Artificial Intelligence Cardiac Ultrasound Technology in Teaching Point of Care Cardiac Ultrasound - a Randomised Controlled Trial

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).

Study Overview

• Status: Recruiting
• Conditions: Cardiac
• Intervention / Treatment: Other: Experimental AI Echo Machine; Other: Conventional Echo Machine

• Study Type: Interventional
• Enrollment (Anticipated): 50
• Phase: Not Applicable

Contacts and Locations

• Study Contact: Name: Suresh Paranjothy; Phone Number: 6772 6897; Email: anasp@nus.edu.sg
• Study Contact Backup: Name: Vanessa Chua; Phone Number: 6772 6897; Email: anactyv@nus.edu.sg

Study Locations

• Singapore
  • Singapore, Singapore
    • Recruiting
    • National University of Singapore
    • Contact: Suresh Paranjothy; Phone Number: 6772 6897
    • Contact: Vanessa Chua; Phone Number: 6772 6897
    • Sub-Investigator: Zheng Ning Koh
    • Sub-Investigator: Ashokka Balakrishnan
    • Sub-Investigator: Fun Gee Chen
    • Sub-Investigator: Siaw May Leong
    • Sub-Investigator: Rohit Vijay Agrawal
    • Sub-Investigator: Donald Peng Xiang Foo
    • Sub-Investigator: Tze Yuh Vanessa Chua
    • Sub-Investigator: Xin Yan Tan

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 19 years to 30 years (Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

Description

Inclusion Criteria:

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

Exclusion Criteria:

• 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)

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Other
• Allocation: Randomized
• Interventional Model: Parallel Assignment
• Masking: None (Open Label)

Number of Arms

2

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Experimental: AI Machine; 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; Participants will go through the training programme using an AI machine for learning.
Other: Conventional Machine; 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; Participants will go through the training programme using a conventional machine for learning.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
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

Collaborators and Investigators

• Sponsor: National University of Singapore
• Investigators: Principal Investigator: Suresh Paranjothy, National University Health System

Study record dates

Study Major Dates

• Study Start (Actual): January 14, 2022
• Primary Completion (Anticipated): December 1, 2024
• Study Completion (Anticipated): December 1, 2024

Study Registration Dates

• First Submitted: March 7, 2022
• First Submitted That Met QC Criteria: March 16, 2022
• First Posted (Actual): March 28, 2022

Study Record Updates

• Last Update Posted (Actual): March 24, 2023
• Last Update Submitted That Met QC Criteria: March 23, 2023
• Last Verified: March 1, 2023

More Information

Terms related to this study

• Keywords: Cardiac Ultrasound
• Other Study ID Numbers: NUS-IRB-2021-484

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No