Novice users with an AI-enabled device arrived at a gestational age that was equivalent to one determined by credentialed sonographers.
Novice users of an ultrasonography tool with AI capabilities were able to estimate gestational age as accurately as credentialed sonographers, new research shows. The mean absolute error was 3.2 days with the AI tool, comparable to 3 days with standard ultrasonography.Researchers conducted a prospective study with 400 pregnant individuals in Lusaka, Zambia, and Chapel Hill, North Carolina.
The primary outcome was the mean absolute error of the AI approach vs standard ultrasonography in the primary evaluation window .The mean absolute error was similar for AI and standard ultrasonography, with a difference of 0.2 days . The percentage of gestational age estimates within 7 days of the established gestational age was comparable between the AI tool and standard ultrasonography ."These findings have immediate implications for obstetrical care in low-resource settings, advancing the World Health Organization goal of ultrasonography estimation of GA for all pregnant people," the study authors wrote.
Although this"low-cost, easy-to-learn technique is a major step forward, it is far from a silver bullet," Alexis C. Gimovsky, MD, with the Women & Infants Hospital of Rhode Island in Providence, Rhode Island, and colleagues. Healthcare systems also need"trained healthcare professionals, basic medications and equipment, and a referral system for managing the pregnancy complications identified with the aid of ultrasonography technology," they noted.Jeffrey S.A.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
Pregnant Abdominal Ultrasonography Abdominal Ultrasound Healthcare And Medical Technology Health And Medical Tech Health And Med Tech Health And Medical Technology Healthcare Technology Medical Technology Artificial Intelligence Deep Learning AI NPL Machine Learning ML Natural Language Processing Artificial Neural Networks Evaluation Of Gestation Gestational Age
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