A new AI-powered software has been developed to assist healthcare professionals in childbirth by providing real-time, accurate information about the baby’s head position using ultrasound. The software uses a traffic light system to guide decision-making during delivery: green signals it’s safe to proceed with a vacuum extractor, yellow indicates uncertainty, and red suggests the need for an emergency cesarean. This innovative tool, expected to be available in delivery rooms by 2028, was developed as part of a multicenter study led by Professor Tullio Ghi, with technical support from Italy’s Clinical Physiology Institute and collaboration from global obstetric experts. The study, published in The European Journal of Obstetrics & Gynecology and Reproductive Biology, has shown the AI software to have excellent accuracy, with a 94.5% overall classification accuracy and a 95.6% sensitivity in detecting fetal malposition, which can cause prolonged or stalled labor. Currently, assessing fetal head position manually carries a significant risk of error, but the AI-based ultrasound offers precise guidance, improving delivery outcomes. The software has been validated using over 2,000 ultrasound images from 16 centers worldwide. As the project moves into a prospective study, it could potentially revolutionize childbirth practices by ensuring safer, faster decisions in the delivery room.
AI Ultrasound Software Enhances Accurate Childbirth Decisions
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