The Future in Focus: Artificial Intelligence in Point-of-Care Ultrasound

Artificial intelligence is increasingly being applied across emergency medicine, with point-of-care ultrasound representing a particularly promising area for innovation. Recent advances include automated quantification of B-lines on lung ultrasound, calculation of inferior vena cava collapsibility, and real-time feedback to improve echocardiographic image acquisition. Research at the intersection of artificial intelligence and point-of-care ultrasound is rapidly expanding, with a focus on standardizing diagnostic quality, enhancing quality assurance processes, and enabling remote ultrasound use in resource-limited settings.

This session will be presented by a panel of ultrasound faculty engaged in cutting-edge artificial intelligence research. Faculty will highlight emerging applications such as automated detection of pathology, including small bowel obstruction through bowel diameter measurement and recognition of reverse peristalsis, as well as educational innovations such as real-time guidance for ultrasound-guided procedures, including regional anesthesia and paracentesis.

Presenters will also address challenges unique to artificial intelligence–based ultrasound research, including ethical and regulatory considerations, data governance, collaboration with data science partners, and identification of funding sources. Attendees will leave with an understanding of current applications, ongoing research efforts, and future directions for artificial intelligence integration into point-of-care ultrasound practice and scholarship.