CardiacNCT05297877
Use of Artificial Intelligence Cardiac Ultrasound Technology in Teaching Point of Care Cardiac Ultrasound
A study testing Experimental AI Echo Machine and Conventional Echo Machine in people with Cardiac, run by National University of Singapore at 1 site in Singapore.
Trial summary
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). Read more about this study
- Who is it for?
- Ages 19 to 30 yearsHealthy volunteers can take part
- Conditions the study is for
- Cardiac
- What is being tested?
- Experimental AI Echo Machine and Conventional Echo Machine
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 50 participants
- Where
- 1 siteSingapore
- Study dates
- 14 Jan 2022to Dec 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 19 to 30 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- Medical students with no prior training in point of care cardiac ultrasound
Who cannot join
- 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)
Trial locations and contacts
1 site in 1 country.
Singapore1 site, 1 recruiting
- Recruiting
National University of Singapore
Singapore
Suresh Paranjothy, 6772 6897
Vanessa Chua, 6772 6897
About this study
Official title: Use of Artificial Intelligence Cardiac Ultrasound Technology in Teaching Point of Care Cardiac Ultrasound - a Randomised Controlled Trial
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).
- Conditions
- Cardiac
- Being tested
- Experimental AI Echo Machine, Conventional Echo Machine
- Keywords
- Cardiac Ultrasound
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
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.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: Other: Experimental AI Echo Machine |
| 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. Receives: Other: Conventional Echo Machine |
What is being measured
The primary outcome is the main question the study is designed to answer.
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
Measured: Study till 1 month post-study
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 Mar 2022
- Study start14 Jan 2022
- Primary completionDec 2024 (estimated)
- Study completionDec 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for CardiacStudies of the same condition, open and under way.
- More trials run by National University of SingaporeThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 50 participants (estimated)
Sponsor and investigators
- Lead sponsor
- National University of Singapore
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, NUS Anaesthesia, National University of Singapore
- Investigators
- Suresh Paranjothy, Principal investigator, National University Health System
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05297877
- Sponsor's protocol ID
- NUS-IRB-2021-484
- Status last verified
- Mar 2023
- First submitted
- 7 Mar 2022
- Last updated
- 24 Mar 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 24 Mar 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Use of Artificial Intelligence Cardiac Ultrasound Technology in Teaching Point of Care Cardiac Ultrasound - a Randomised Controlled Trial
- ClinicalTrials.gov ID
- NCT05297877
- Acronym / sponsor ID
- NUS-IRB-2021-484
- Conditions
- Cardiac
- Keywords
- Cardiac Ultrasound
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 50 participants (estimated)
- Lead sponsor
- National University of SingaporeUniversity, hospital or other
- Study start
- 14 Jan 2022 (actual)
- Primary completion
- Dec 2024 (estimated)
- Study completion
- Dec 2024 (estimated)
- First posted
- 28 Mar 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| AI Machine | Experimental | Other: Experimental AI Echo MachineAll 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. |
| Conventional Machine | Other | Other: Conventional Echo MachineAll 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. |
Who may qualify
- Ages
- 19 to 30 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (1 listed)
- Medical students with no prior training in point of care cardiac ultrasound
Key exclusion criteria (2 listed)
- 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)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Experimental AI Echo MachineParticipants will go through the training programme using an AI machine for learning. | Other | AI Machine |
| Conventional Echo MachineParticipants will go through the training programme using a conventional machine for learning. | Other | Conventional Machine |
Primary outcome
Effectiveness of artificial intelligence (A.I.) cardiac ultrasound technology in teaching point of care cardiac ultrasound vs conventional echo machine
Time frame: Study till 1 month post-study
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
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Mar 2023.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Suresh Paranjothy principal investigator
National University Health System
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Experimental AI Echo Machine and Conventional Echo Machine in people with Cardiac, run by National University of Singapore at 1 site in Singapore.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 24 Mar 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Singapore. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Suresh Paranjothy (6772 6897, anasp@nus.edu.sg), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Effectiveness of artificial intelligence (A.I.) cardiac ultrasound technology in teaching point of care cardiac ultrasound vs conventional echo machine (time frame: Study till 1 month post-study). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Mar 2023.