- AI-enabled ultrasound devices allow novice clinicians to estimate gestational age accurately
- The AI tool’s accuracy is comparable to traditional ultrasonography performed by credentialed sonographers
- This technology can significantly improve prenatal care in low-resource settings
Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps
Go to source). Accurate assessment of gestational age is essential for good pregnancy care. In low-resource settings, access to conventional ultrasonography is often limited, posing a significant challenge. This new study explores an AI-enabled ultrasonography device that allows novice users to estimate GA with precision comparable to traditional methods.
The AI tool can analyze ultrasound images and estimate gestational age within just 0.2 days of accuracy compared to traditional methods, even when used by novice clinicians. #aiinhealthcare #prenatalcare #medindia’
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Accuracy and Consistency of AI-Enabled Device to Determine Gestational Age
The primary outcome measured was the mean absolute error (MAE) of the AI-enabled device compared to the traditional ultrasonography device. The results demonstrated that the AI tool was equivalent to the traditional method, with an MAE of 3.2 days compared to 3.0 days (difference of 0.2 days). Furthermore, 90.7% of assessments with the AI device were within 7 days of the established GA, compared to 92.5% for the traditional method.The AI tool’s performance was consistent across various subgroups, including those with higher body mass index (BMI) and participants from both Zambia and North Carolina. This consistency highlights the tool’s robustness and adaptability to different populations and conditions.
Health Implications in Low-Resource Settings and Improved Maternal and Fetal Outcomes
The study’s findings suggest that novice users, even without prior ultrasonography training, can accurately estimate GA using the AI-enabled device. This breakthrough has significant implications for improving obstetrical care in low-resource settings, aligning with the World Health Organization’s goal of providing GA estimation for all pregnant individuals.The integration of AI in ultrasonography has the potential to revolutionize prenatal care, especially in low-resource settings. By enabling novice clinicians to accurately estimate GA, this technology can ensure timely and appropriate prenatal interventions, ultimately improving maternal and fetal outcomes.
Reference:
- Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps - (https://jamanetwork.com/journals/jama/article-abstract/2821666)
Source-Medindia