Google Research evaluates AI-assisted ultrasound for gestational age assessment across clinical settings
Empowering frontline maternal care with AI-assisted ultrasound
- Who
- Google Research
- What
- reported results from a prospective study evaluating the generalizability of an AI model for gestational age assessment using blind sweep ultrasonography
What happened
Google Research reports a prospective study in JAMA Network Open evaluating AI gestational age assessment from blind sweep ultrasounds performed by novice operators in Chicago and Nairobi. Among 385 participants between 16 and 36 weeks of pregnancy, the model achieved a mean absolute error of 4.18 days versus 4.48 days for expert sonographers, meeting the study’s non-inferiority criterion. Fine-tuning used data from 120 Chicago participants, with no Nairobi data used for local optimization.
Why it matters
Testing across two clinical settings and unfamiliar ultrasound hardware provides evidence about generalizability beyond the training cohort, a practical consideration for expanding prenatal screening access.
The story so far
Google Research reported that an AI model estimating gestational age from blind sweep ultrasounds performed by novice operators met a prospective study’s non-inferiority criterion against expert sonographers. Among 385 participants between 16 and 36 weeks of pregnancy in Chicago and Nairobi, the model’s mean absolute error was 4.18 days, compared with 4.48 days for expert sonographers. The study, published in JAMA Network Open, evaluated how well the model generalized across clinical settings and ultrasound hardware. Fine-tuning used data from 120 Chicago participants; no Nairobi data was used for local optimization.
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