Emory University researchers have unveiled a groundbreaking deep-learning model that utilizes routine chest x-rays and electronic health records to predict early signs of diabetes, even in patients not meeting conventional risk criteria. The AI-driven…
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By Shania Kennedy
August 08, 2023 – Researchers at Emory University have validated a deep learning (DL) model capable of detecting early warning signs of diabetes using routinely collected chest radiographs and electronic health record data…
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Researchers at the Institute of Science and Technology Austria have developed a brain imaging technique called Live Information Optimized Nanoscopy Enabling Saturated Segmentation (LIONESS). The method lets the researchers create high-resolution 3D images of…
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Non-accidental trauma (NAT) is deadly and difficult to predict. Transformer models pretrained on large datasets have recently produced state of the art performance on diverse prediction tasks, but the optimal pretraining strategies for diagnostic…
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By Shania Kennedy
July 17, 2023 – A deep learning (DL) model has been developed and validated to estimate cardiac function and valvular disease using chest radiographs, according to a study published this month in The…
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By Shania Kennedy
July 10, 2023 – A new study published last week in Nature Biotechnology demonstrated that a deep learning (DL) tool can predict on- and off-target activity of RNA-targeting CRISPR tools, which may spur…
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The first proof-of-concept pilot study with a limited-lead, rapid-response electroencephalogram medical device, which measures the electrical activity of the brain, and Vision Transformer, a supervised deep learning method, detected changes associated with delirium before…
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Cerebrovascular disease is a leading cause of death globally. Prevention and early intervention are known to be the most effective forms of its management. Non-invasive imaging methods hold great promises for early stratification, but…
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By Shania Kennedy
June 21, 2023 – Researchers at Washington University in St. Louis are investigating how deep learning (DL) tools to “denoise,” or clean up, medical images impact the clinical utility of those images.
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Despite the importance of preventing chronic kidney disease (CKD), predicting high-risk patients who require active intervention is challenging, especially in people with preserved kidney function. In this study, a predictive risk score for CKD…
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