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

Not Applicable

Recruiting

• Conditions: Cardiac

• Registration Number: NCT05297877
• Lead Sponsor: National University of Singapore

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).

Detailed Description

Not available

Study Timeline

• Study Start: 2022-01-14
• Study First Submitted: 2022-03-07
• Study First Submitted QC: 2022-03-16
• Study First Posted: 2022-03-28
• Status Verified: 2023-03
• Last Update Submitted: 2023-03-23
• Last Update Posted: 2023-03-24
• Primary Completion: 2024-12
• Study Completion: 2024-12

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 50

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 & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
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

Trial Locations

Locations (1)

National University of Singapore; 🇸🇬 Singapore, Singapore