A team of researchers at Google has developed a tool that combines augmented reality with a deep learning neural network to provide pathologists with help in spotting cancerous cells on slides under a microscope. Google has ...
Researchers at the RIKEN Center for Developmental Biology (CDB) in Japan have developed a way to obtain super-resolution 3-D images of delicate structures deep in the brain. Published in Cell Reports, the work describes a ...
Mar 10, 2016
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Brain-computer interfaces are at the cutting edge for treatment of neurological and psychological disorder, including Parkinson's, epilepsy, and depression. Among the most promising advance is deep brain stimulation (DBS) ...
Jul 31, 2012
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Researchers from the University of Eastern Finland, the University of Turku, and Tampere University have developed an artificial intelligence-based method for virtual staining of histopathological tissue samples as a part ...
Apr 14, 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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Epilepsy is a neurological disorder in which brain activity becomes abnormal, causing seizures or periods of unusual behavior, sensations, and sometimes loss of awareness. Anyone can develop epilepsy, and it affects both ...
Nov 22, 2022
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A deep learning (DL) system could improve the diagnostic accuracy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of breast tissue for detecting breast cancer, according to a study published in the Sept. ...
Oct 7, 2022
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Venous thromboembolism (VTE) is a potentially deadly condition in which a blood clot (known as a deep vein thrombosis [DVT]) forms in the deep veins of the leg, groin or arm and may dislodge. If that happens, the clot can ...
Sep 1, 2022
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Using an artificial intelligence (AI) tool that emulates how humans visualize and is trained to recognize and classify images, investigators constructed a model that predicts the postoperative recurrence of Crohn disease ...
May 10, 2022
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Researchers at Karolinska Institutet in Sweden have developed an AI-based tool that improves the diagnosis of breast cancer tumors and the ability to predict the risk of recurrence. The greater diagnostic precision can lead ...
Sep 30, 2021
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