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AI Speeds Up 20-Week Pregnancy Scans, Enhancing Patient Care

In a groundbreaking study led by King’s College London and Guy’s and St Thomas’ NHS Foundation Trust, the use of artificial intelligence (AI) in sonography has shown promising results in speeding up 20-week pregnancy scans. The AI-assisted scans were found to be over 40% shorter than standard scans, without compromising accuracy or reliability. This development could significantly enhance patient care by allowing sonographers to allocate more time to interacting with parents and addressing any concerns.

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The 20-week pregnancy screening scan is a critical milestone for expectant parents as sonographers search for signs of various fetal abnormalities. By leveraging AI technology, sonographers can streamline the scanning process, providing them with additional time to focus on patient care and alleviate anxieties among parents. The recent trial, involving 78 pregnant participants and 58 sonographers, demonstrated the effectiveness of AI-assisted scans in improving efficiency and reliability compared to manual measurements.

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One of the key advantages of AI in sonography is its ability to automatically capture multiple snapshots during the scan, eliminating the need for frequent interruptions to save images or take measurements. This seamless integration of AI technology not only accelerates the scanning process but also enhances the accuracy of assessing fetal growth and health, enabling healthcare professionals to make informed decisions earlier in the pregnancy.

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Through the implementation of AI-powered tools for pregnancy ultrasound, such as the one developed by Fraiya, a University-NHS spinout company, the healthcare industry is poised to witness a transformative shift in prenatal care. Fraiya’s innovative approach, originating from the MedTech Venture Builder programme at The London Institute for Healthcare Engineering, aims to revolutionize medical diagnoses, support healthcare professionals, and elevate patient care standards.

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Professor Reza Razavi, a leading expert in pediatric cardiovascular science at King’s College London, emphasized the significance of early detection of congenital anomalies in unborn babies to optimize postnatal outcomes. By combining AI technology with human expertise, healthcare providers can enhance the efficiency and accuracy of prenatal scans, ultimately improving the overall experience for mothers and ensuring the well-being of infants.

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Moreover, the successful integration of AI in sonography not only benefits expectant mothers by providing reassurance and tailored care but also empowers healthcare professionals to deliver exceptional services across healthcare facilities nationwide. Professor Mike Lewis, NIHR Scientific Director, highlighted the positive impact of AI-assisted automation in ultrasound scanning, underscoring the importance of enhancing patient experience and optimizing clinical workflows.

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The study’s findings, published in NEJM AI, shed light on the transformative potential of AI technology in revolutionizing prenatal care and advancing medical diagnostics. By harnessing the capabilities of AI in sonography, healthcare professionals can elevate the standard of care, improve patient outcomes, and create a more efficient and compassionate healthcare environment for expectant mothers and their families.

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