An AI image recognition algorithm can predict whether a mouse is moving or not based on brain functional imaging data. Kobe University researchers have developed a method to identify which input data is relevant, shining ...
Mar 21, 2024
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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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A study published today in the JACC: Cardiovascular Imaging shows that artificial intelligence tools can more rapidly, and objectively, determine calcium scores in computed tomographic (CT) and positron emission tomographic ...
Sep 15, 2022
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Scientists have developed an artificial intelligence (AI) system that can analyze eye scans taken during a routine visit to an optician or eye clinic and identify patients at a high risk of a heart attack.
Jan 25, 2022
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Researchers and data scientists at UT Southwestern Medical Center and MD Anderson Cancer Center have developed an artificial intelligence technique that can identify which cell surface peptides produced by cancer cells called ...
Sep 23, 2021
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Patients' electronic health records convey crucial information. The application of natural language processing techniques to these records may be an effective means of extracting information that may improve clinical decision ...
Mar 5, 2021
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An article written by Dr. Qingsheng Wang, associate professor and director of the safety engineering program in the Artie McFerrin Department of Chemical Engineering at Texas A&M University, was selected as an American Chemical ...
Nov 20, 2020
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Psychiatrists typically diagnose autism spectrum disorders (ASD) by observing a person's behavior and by leaning on the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), widely considered the 'bible' of mental ...
Sep 23, 2020
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Some expert medical diagnosticians may limit the number of patient tests they order as a way to signal a high level of competence to their peers, according to a new study from researchers at Johns Hopkins University.
Jan 31, 2020
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QUT researchers have applied artificial intelligence (AI) deep learning techniques to develop a more accurate and detailed method for analyzing images of the back of the eye to help clinicians better detect and track eye ...
Sep 23, 2019
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