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
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
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
-
-
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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
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Sub-Investigator:
- Ashokka Balakrishnan
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Sub-Investigator:
- Fun Gee Chen
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Sub-Investigator:
- Siaw May Leong
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Sub-Investigator:
- Rohit Vijay Agrawal
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Sub-Investigator:
- Donald Peng Xiang Foo
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Sub-Investigator:
- Tze Yuh Vanessa Chua
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Sub-Investigator:
- Xin Yan Tan
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
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
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / 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.
|
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.
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Participants will go through the training programme using a conventional machine for learning.
|
What is the study measuring?
Primary Outcome Measures
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
Time Frame: Study till 1 month post-study
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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
Sponsor
Investigators
Investigators
- Principal Investigator: Suresh Paranjothy, National University Health System
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- NUS-IRB-2021-484
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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