AI Ultrasound Technologies Advance Fetal Care
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By MedImaging International staff writers Posted on 21 Sep 2020 |
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Image: Biparietal diameter measurement with BiometryAssist (Photo courtesy of Samsung Medison)
New ultrasound workflow solutions improve obstetric measurements and contribute to maternal and fetal safety.
Samsung Medison (Seoul, Korea) BiometryAssist is designed to automate fetal measurements in approximately 85 milliseconds with just a single click, while providing over 97% accuracy. This also helps standardize fetal measurements, which has historically proved challenging. In addition, Samsung Medison is also releasing LaborAssist, which automatically estimates fetal angle of progression (AoP) during labor for a complete understanding of a patient’s birthing progress, without the need for invasive digital vaginal exams.
Both BiometryAssist and LaborAssist platforms are artificial intelligence (AI) systems that use an Intel (Santa Clara, CA, USA) Core i3 processor; the Intel Distribution of the OpenVINO toolkit, which facilitates the optimization of a deep learning model from a framework and deployment using an inference engine on Intel hardware; and the OpenCV toolkit, a library of programming functions mainly aimed at real-time computer vision.
“LaborAssist provides automatic measurement of the angle of progression as well as information pertaining to fetal head direction and estimated head station. So it is useful for explaining to the patient and her family how the labor is progressing, using ultrasound images which show the change of head station during labor,” said Professor Min Jeong Oh, MD, PhD, of Korea University Guro Hospital (Seoul). “It is expected to be of great assistance in the assessment of labor progression and decision-making for delivery.”
“At Intel, we are focused on creating and enabling world-changing technology that enriches the lives of every person on Earth,” said Claire Celeste Carnes, strategic marketing director for health and life sciences at Intel. “We are working with companies like Samsung Medison to adopt the latest technologies in ways that enhance the patient safety and improve clinical workflows, in this case for the important and time-sensitive care provided during pregnancy and delivery.”
Samsung Medison (Seoul, Korea) BiometryAssist is designed to automate fetal measurements in approximately 85 milliseconds with just a single click, while providing over 97% accuracy. This also helps standardize fetal measurements, which has historically proved challenging. In addition, Samsung Medison is also releasing LaborAssist, which automatically estimates fetal angle of progression (AoP) during labor for a complete understanding of a patient’s birthing progress, without the need for invasive digital vaginal exams.
Both BiometryAssist and LaborAssist platforms are artificial intelligence (AI) systems that use an Intel (Santa Clara, CA, USA) Core i3 processor; the Intel Distribution of the OpenVINO toolkit, which facilitates the optimization of a deep learning model from a framework and deployment using an inference engine on Intel hardware; and the OpenCV toolkit, a library of programming functions mainly aimed at real-time computer vision.
“LaborAssist provides automatic measurement of the angle of progression as well as information pertaining to fetal head direction and estimated head station. So it is useful for explaining to the patient and her family how the labor is progressing, using ultrasound images which show the change of head station during labor,” said Professor Min Jeong Oh, MD, PhD, of Korea University Guro Hospital (Seoul). “It is expected to be of great assistance in the assessment of labor progression and decision-making for delivery.”
“At Intel, we are focused on creating and enabling world-changing technology that enriches the lives of every person on Earth,” said Claire Celeste Carnes, strategic marketing director for health and life sciences at Intel. “We are working with companies like Samsung Medison to adopt the latest technologies in ways that enhance the patient safety and improve clinical workflows, in this case for the important and time-sensitive care provided during pregnancy and delivery.”
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