Down syndrome, also known as Trisomy 21, is the most common chromosomal abnormality causing developmental delay and intellectual disability, and it can be identified in utero. Many pregnant women seek to determine whether ...
Jul 12, 2022
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A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a study ...
Aug 11, 2021
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Additional heartbeats from cardiac chambers, so-called ventricular extrasystoles, may be associated with severe diseases. Researchers at Karlsruhe Institute of Technology (KIT) use machine learning for their non-invasive ...
Jul 28, 2023
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There is power and value in a highly skilled detective. Sherlock Holmes and his trusty sidekick, Watson, are famous for sifting through enormous amounts of data—identifying patterns and making predictions to uncover a mystery ...
Mar 13, 2023
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A study published in the open access journal JAMA Open Network June 14 by scientists at the University of Virginia schools of Engineering and Medicine and the Data Science Institute says machine learning algorithms applied ...
Jun 17, 2019
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X-ray fluoroscopy is frequently used in orthopedic surgery. Despite its imaging capabilities, physicians heavily rely on their experience and knowledge to align the 3D shape of the target area using the 2D X-ray image. If ...
Nov 10, 2023
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Skoltech researchers and their colleagues from the Pirogov National Medical and Surgical Center and the Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology have used a convolutional neural ...
Jul 27, 2021
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A deep learning model can accurately evaluate the area subscore of the Palmoplantar Pustulosis Area and Severity Index (PPPASI), according to a study published online Feb. 23 in the Journal of Dermatology.
Mar 23, 2023
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Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication posing significant health risks to both mothers and their newborns. Early detection and treatment of GDM are crucial to prevent adverse outcomes. Current ...
Feb 1, 2024
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An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish ...
Oct 11, 2018
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