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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

50 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-01-14

Study Completion Date

2024-12-31

Brief Summary

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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).

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Detailed Description

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Conditions

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Cardiac

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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AI Machine

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.

Group Type EXPERIMENTAL

Experimental AI Echo Machine

Intervention Type OTHER

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

Conventional Machine

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.

Group Type OTHER

Conventional Echo Machine

Intervention Type OTHER

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

Interventions

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Experimental AI Echo Machine

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

Intervention Type OTHER

Conventional Echo Machine

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

Intervention Type OTHER

Eligibility Criteria

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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)

Minimum Eligible Age

19 Years

Maximum Eligible Age

30 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes