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Assessment of Diagnostic Adequacy of AI-assisted Point-of-Care Echocardiography Among Anesthesiology Trainees

Assessment of Diagnostic Adequacy of Artificial Intelligence-assisted Point-of-Care Echocardiography Among Anesthesiology Trainees

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06548373
Enrollment
16
Registered
2024-08-12
Start date
2024-08-13
Completion date
2027-12-01
Last updated
2026-06-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anesthesia

Keywords

echocardiography, Artificial Intelligence, AI-assisted

Brief summary

This pilot study serves to assess the diagnostic adequacy of Artificial Intelligence (AI)-guided point-of-care. Focused echocardiography examinations will be obtained by Anesthesiology trainees and assessed by an expert Cardiologist Echocardiographer. AI-guided echocardiography examinations will be compared to each other. AI-guided and non-AI-guided echocardiography examinations will also be compared.

Detailed description

This pilot study will involve Post-Graduate Year 2 Anesthesiology trainees on rotation in the Loma Linda University Medical Center operating rooms. Prior to participation, the trainees will give written informed consent to participate in the study and complete a baseline questionnaire to collect information regarding prior education in point-of-care echocardiography and the number of those examinations personally performed prior to study participation. All subjects will watch a brief training video about the AI guidance platform and participate in a hands on training session to familiarize themselves with AI guidance. When adult patients having anesthesia for procedures present with a clinical indication for peri-anesthesia point-of-care echocardiography examination, the assigned trainee will use the AI-guided system to obtain a standardized point-of-care focused cardiac examination. Subjects will be completing 11 total examinations, 10 using AI guidance, 1 without. Images of the examination will be assessed by an expert Cardiologist Echocardiographer that is blinded to the resident involved to measure diagnostic adequacy. A final non-AI-guided echocardiogram examination will be completed by the resident to measure and compare the time and adequacy of the images to the AI-guided examination images.

Interventions

DIAGNOSTIC_TESTArtificial Intelligence-assisted Point-of-Care Echocardiography

A wireless, AI-guided handheld ultrasound probe will be used on adult male patients who present with a clinical indication for peri-anesthesia point-of-care echocardiography examination. Residents will document personal interpretation of the completed point-of-care ultrasound (POCUS) examination, important clinical findings, and assessment of whether obtaining a formal echocardiogram is warranted on an exam assessment form. The residents will complete 11 examinations with 10 specific scans each. The first 10 examinations will be AI-guided, and the final 11th examination will be done via a standard (non-AI guided) ultrasound system to gauge the resident's growth in point-of-care echocardiography skill.

Sponsors

Loma Linda University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes

Inclusion criteria

* Loma Linda University resident in Anesthesiology * Post-Graduate Year 2

Exclusion criteria

* Residents not a part of a Loma Linda University residency program * Residents not a part of an Anesthesiology residency program * Loma Linda University Anesthesiology Post-Graduate Year 1 Residents * Loma Linda University Anesthesiology Post-Graduate Year 3 Residents * Loma Linda University Anesthesiology Post-Graduate Year 4 Residents

Design outcomes

Primary

MeasureTime frameDescription
Echocardiogram EvaluationWithin 24 hours of AI-guided examination completionCardiologist will review AI-assisted echocardiogram images obtained by residents for diagnostic image quality. A rating of "Yes" will represent a diagnostically accurate result and a rating of "No" will represent an image that is not adequate for diagnostic purposes.

Secondary

MeasureTime frameDescription
Change in length of time of AI-assisted echocardiogram procedureChange in time of individual examination completion between the first AI-guided echocardiography examination performed and the tenth AI-guided echocardiography examination performed, typically one month post-enrollmentAssessment of time to complete the standardized point-of-care focused echocardiography examination will be determined by comparing time stamps on the first and last image sequence recorded. Change in this interval will be assessed between the tenth and first studies performed.
Change in echocardiogram examination image quality through comparison of AI-guided and non-AI-guided echocardiogram examinationChange in time between the tenth AI-guided echocardiography examination performed and the non-AI guided cardiography examination performed, typically two months post-enrollmentAfter the 10th AI-guided point-of-care focused echocardiography examination is completed, the trainee will complete a standardized point-of-care focused echocardiography examination using a standard (not AI-guided) system. Assessment of echocardiogram adequacy, time to complete the examination, and Concordance between the trainee and Cardiologist assessments will be analyzed as described above.

Countries

United States

Contacts

STUDY_CHAIRRichard L Applegate, MD

Loma Linda University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 6, 2026