How AI Can Assist in the Performance of Point of Care Ultrasound

How AI Can Assist in the Performance of Point of Care Ultrasound

Guest: Jared Bird, M.D.
Host: Kyle Klarich, M.D.

Artificial intelligence is rapidly enhancing the performance of cardiac point-of-care ultrasound (POCUS) by improving image acquisition, providing easy-to-use tools for automated quantification, and reducing the impact of variability in user training on the acquisition of high-quality cardiac POCUS studies. AI-guidance solutions for obtaining high-yield cardiac POCUS views are helping both experienced clinicians and novice users acquire diagnostic-quality images for the rapid assessment of cardiac pathology. These AI tools serve as a powerful addition to the clinician's toolbox but do not replace comprehensive echocardiography or the expertise of trained healthcare providers.

Topics Discussed:

• How do AI-guidance solutions improve the acquisition of cardiac point-of-care ultrasound images?
• Can AI meaningfully shorten the learning curve for trainees and nonexpert users?
• In what ways does AI enhance image interpretation and quantitative assessment in cardiac POCUS?
• What AI-guidance and interpretive solutions are currently available on the market?
• What are the limitations and challenges associated with integrating AI into bedside cardiac POCUS?