Viewing Study NCT06355557



Ignite Creation Date: 2024-05-06 @ 8:22 PM
Last Modification Date: 2024-10-26 @ 3:26 PM
Study NCT ID: NCT06355557
Status: RECRUITING
Last Update Posted: 2024-04-09
First Post: 2024-04-04

Brief Title: Human vs Machine a RCT Comparing Traditional In-person Instruction AI Versus VR for Learning Basic CCE
Sponsor: Tan Tock Seng Hospital
Organization: Tan Tock Seng Hospital

Study Overview

Official Title: Human vs Machine a Randomised Controlled Trial Comparing Traditional In-person Instruction Artificial Intelligence Versus Virtual Reality for Learning Basic Critical Care Echocardiography
Status: RECRUITING
Status Verified Date: 2024-04
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: The aim of the study is to investigate if hands-on training for basic CCE with virtual reality simulators or guided by artificial intelligence is non-inferior to training by an experienced instructor
Detailed Description: Basic Level 1 Critical care echocardiography CCE involves using an ultrasound device to qualitatively assess the heart at the bedside It is increasingly being used at the bedside for diagnostics and screening of key differential diagnoses Increasingly CCE is being taught to more medical staff from many fields in medicine including emergency medicine anaesthesiology intensive care medicine and even family medicine There is a wealth of learning resources online but access to direct supervision by trainers and in-person courses is can be limited and costly At the time of the study one local medical school incorporated a lecture there is no credentialling pathway within local medical schools or institution There has been increasing use of machine learning in medical imaging and deep learning algorithms are now able to guide image acquisition and allow novices with minimal training in echocardiography to obtain diagnostic-quality images Artificial intelligence AI in echocardiography may improve image by novices Ultrasound hardware that implement machine learning software in real-time can help with structure detection and identification but more studies are needed to determine the extent that AI impacts learning

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None