A new study showed how an AI model based on blind sweep ultrasound data can accurately estimate gestational age as effectively as standard clinical assessments.
The study, published in JAMA Network Open, showed how the model was on par with clinical standards at two health sites, one in Chicago, IL and the other in Nairobi, Kenya. It illustrated how the model can advance global health initiatives even with inexperienced sonographers using the AI model.
Two researchers from the study share their results and insights into how such AI approaches can bridge maternity care gaps. They include Angelica Willis and Nichole Young-Lin, MD, from Google Research in Mountain View, CA.
Angelica Willis explains how an AI model she and colleagues developed uses blind sweep ultrasound data to estimate gestational age in pregnant women.
The two emphasize the importance of generalizability in using AI in imaging, how accurate estimation of gestational age is the cornerstone of caring for pregnant women, and future directions for the model.
Watch the full episode below.
