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Google Research Study Finds AI Ultrasound Pregnancy Dating Meets Non-Inferiority Criterion Against Experts

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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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Latest development10/22 00:23 (UTC+8)
Google Research evaluates AI-assisted ultrasound for gestational age assessment across clinical settingsGoogle Research

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10/22
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    Google Research evaluates AI-assisted ultrasound for gestational age assessment across clinical settings

    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.

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