Cardiac
Conditions
Keywords
Cardiac Ultrasound
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).
Interventions
OTHERExperimental AI Echo Machine
Participants will go through the training programme using an AI machine for learning.
OTHERConventional Echo Machine
Participants will go through the training programme using a conventional machine for learning.
Sponsors
National University of Singapore
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
19 Years to 30 Years
Healthy volunteers
Yes
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)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Effectiveness of artificial intelligence (A.I.) cardiac ultrasound technology in teaching point of care cardiac ultrasound vs conventional echo machine | Study till 1 month post-study | 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 |
Countries
Singapore
Contacts
Primary ContactSuresh Paranjothy
Backup ContactVanessa Chua
Outcome results
None listed