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Google Research published an AI gestational age estimation study based on blind-sweep ultrasound in JAMA Network Open. In prospective tests in Chicago (n=192) and Nairobi (n=193), the model's mean absolute error was 4.18 days, versus 4.48 days for expert sonographers, and the study reports non-inferiority. 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. There are currently no follow-up developments.
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Oct 22
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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.