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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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| AI Machine | Experimental | 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. |
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| Conventional Machine | Other | 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. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Experimental AI Echo Machine | Other | Participants will go through the training programme using an AI machine for learning. |
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| Measure | Description | Time Frame |
|---|---|---|
| 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 | Study till 1 month post-study |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Suresh Paranjothy | Contact | 6772 6897 | anasp@nus.edu.sg | |
| Vanessa Chua | Contact | 6772 6897 | anactyv@nus.edu.sg |
| Name | Affiliation | Role |
|---|---|---|
| Suresh Paranjothy | National University Health System | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| National University of Singapore | Recruiting | Singapore | Singapore |
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| Conventional Echo Machine | Other | Participants will go through the training programme using a conventional machine for learning. |
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