Use of Artificial Intelligence Cardiac Ultrasound Technology in Teaching Point of Care Cardiac Ultrasound
1 other identifier
interventional
50
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Jan 2022
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 14, 2022
CompletedFirst Submitted
Initial submission to the registry
March 7, 2022
CompletedFirst Posted
Study publicly available on registry
March 28, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2024
CompletedMarch 24, 2023
March 1, 2023
2.9 years
March 7, 2022
March 23, 2023
Conditions
Keywords
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
EXPERIMENTALAll 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.
Conventional Machine
OTHERAll 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.
Interventions
Participants will go through the training programme using an AI machine for learning.
Participants will go through the training programme using a conventional machine for learning.
Eligibility Criteria
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
Study Officials
- PRINCIPAL INVESTIGATOR
Suresh Paranjothy
National University Health System
Central Study Contacts
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