Google Research uses AI to assist blind-sweep ultrasound assessment of gestational age, with error comparable to experts
Google Research published a study in JAMA Network Open; its AI gestational age assessment model based on blind-sweep ultrasound achieved a mean absolute error of 4.18 days in prospective testing in Chicago (n=192) and Nairobi (n=193), reaching non-inferiority compared with expert sonographers' 4.48 days. The model was fine-tuned only on data from 120 participants in Chicago and did not use Nairobi data; the errors in the two locations were 4.10 days and 4.27 days, respectively. The study used a Clarius C3 handheld probe, with standardized blind sweeps performed by operators without professional ultrasound training.
Why read this
SelectedAI score 64
The study prospectively validated the same model in Chicago and Nairobi, maintaining the error level without local fine-tuning, showing how cross-scenario generalization can be implemented.
Topics
Body
The English body is being prepared. You can open the original source.