Assessment of Diagnostic Adequacy of Artificial Intelligence-assisted Point-of-Care Echocardiography Among Anesthesiology Trainees
Assessment of Diagnostic Adequacy of Artificial Intelligence-assisted Point-of-Care Echocardiography Among Anesthesiology Trainees
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.
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.
Inclusion Criteria:
Exclusion Criteria: