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

National University of Singapore50 enrolled

Overview

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).

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

OTHER

Masking

NONE

Enrollment

Conditions

Cardiac

Interventions

Experimental AI Echo MachineOTHER

Participants will go through the training programme using an AI machine for learning.

Conventional Echo MachineOTHER

Participants will go through the training programme using a conventional machine for learning.

Eligibility

Sex: ALLMin age: 19 YearsMax age: 30 YearsHealthy volunteers:

Medical Language ↔ Plain English

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)

Locations (1)

National University of Singapore

Singapore, Singapore

RECRUITING

Outcomes

Primary Outcomes

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

Time frame: Study till 1 month post-study

Central Contacts

Suresh Paranjothy

CONTACT

6772 6897 anasp@nus.edu.sg

Vanessa Chua

CONTACT

6772 6897 anactyv@nus.edu.sg

Data from ClinicalTrials.gov

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