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

National University of Singapore

Status: Enrolling

Conditions: Cardiac

Treatments: Other: Experimental AI Echo Machine; Other: Conventional Echo Machine

Study type: Interventional

Funder types: Other

Identifiers

NCT05297877

NUS-IRB-2021-484

Details and patient eligibility

About

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).

Enrollment: 50 estimated patients

Sex: All

Ages: 19 to 30 years old

Volunteers: Accepts Healthy Volunteers

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)

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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50 participants in 2 patient groups

AI Machine

Experimental group

Description:

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.

Treatment:

Other: Experimental AI Echo Machine

Conventional Machine

Other group

Description:

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.

Treatment:

Other: Conventional Echo Machine