Human vs Machine: a RCT Comparing Traditional In-person Instruction, AI Versus VR for Learning Basic CCE

NCT06355557 | Recruiting DMC

• 1 other identifier: DSRB 2023/00640
• Study Type: interventional
• Target: 66
• Locations: 1 country
• Sites: 1

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.

Conditions

Ultrasound

Keywords

artificial intelligence, echocardiography, POCUS

Outcome Measures

Primary Outcomes (1)

• Improvement in image acquisition and structure identification at the end of 3 months.

  The images acquired during that timeframe will be scored using the validated Rapid Assessment of Competency in Echocardiography Scale. The experienced CCE trainer who will score the subject will be blinded to which arm of the study the subject is in

  3 months

Study Arms (3)

22 medical students (AI)

ACTIVE COMPARATOR

medical students randomised to this arm

Other: AI enabled ultrasound system for self-directed learning

22 medical students (Simulator)

ACTIVE COMPARATOR

medical students randomised to this arm

Other: Simulator for self-directed learning

22 medical students (control)

ACTIVE COMPARATOR

medical students randomised to this arm

Other: traditional with human instructors

Interventions

AI enabled ultrasound system for self-directed learning OTHER

use of the AI enabled ultrasound system for self-directed learning

Also known as: AI-enabled ultrasound system (Kosmos(TM))

22 medical students (AI)

Simulator for self-directed learning OTHER

use of the simulator for self-directed learning

22 medical students (Simulator)

traditional with human instructors OTHER

Medical students who are randomised to this arm

22 medical students (control)

Eligibility Criteria

• Age: 21 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Medical students will have limited clinical exposure to critical care echocardiography
• above the age of 21 years

You may not qualify if:

• prior attendance of a critical care echocardiography courses or
• refusal to participate in the study or complete both hands on sessions

Sponsors & Collaborators

• Tan Tock Seng Hospital: lead

Study Sites (1)

Tan Tock Seng Hospital

Singapore, 319581, Singapore

RECRUITING

Related Publications (1)

• Lau YH, Acharyya S, Wee CWL, Xu H, Saclolo RP, Cao K, Fong WK. Effectiveness of traditional, artificial intelligence-assisted, and virtual reality training modalities for focused cardiac ultrasound skill acquisition: a randomised controlled study. Ultrasound J. 2025 Nov 21;17(1):61. doi: 10.1186/s13089-025-00469-7.

  PMID: 41269495 DERIVED

Central Study Contacts

Yie H Lau

CONTACT

6563577771; yie_hui_lau@ttsh.com.sg

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: DOUBLE
• Who Masked: INVESTIGATOR, OUTCOMES ASSESSOR
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Senior Consultant

Model Details: 3-arm prospective randomised controlled trial.

Study Record Dates

• First Submitted: April 4, 2024
• First Posted: April 9, 2024
• Study Start: April 4, 2024
• Primary Completion: December 31, 2024
• Study Completion: January 1, 2025
• Last Updated: April 9, 2024

Record last verified: 2024-04

Data Sharing

• IPD Sharing: Will not share

Locations

SG (1)