By Shania Kennedy
November 03, 2023 – Researchers at Johns Hopkins Medicine have developed a machine learning (ML) tool capable of estimating the percent necrosis (PN)—the percentage of a tumor that is considered “dead” and no…
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By Shania Kennedy
October 31, 2023 – Mount Sinai researchers have demonstrated that publicly trained large language models (LLMs) can identify the pain location and pain location of musculoskeletal conditions like shoulder, knee, and lower back…
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By Shania Kennedy
October 27, 2023 – Researchers at New York University (NYU) Grossman School of Medicine have demonstrated that a natural language processing (NLP) tool can effectively detect pandemic-related signs of anxiety and depression in…
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By Shania Kennedy
October 25, 2023 – Researchers from the Smidt Heart Institute at Cedars-Sinai demonstrated that a deep learning (DL) algorithm can accurately detect signs of atrial fibrillation in patients without symptoms, according to a…
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By Shania Kennedy
October 23, 2023 – Researchers at Mount Sinai have developed an artificial intelligence (AI) tool that can estimate histopathological brain age, predict age at death, and identify areas of the brain vulnerable to…
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By Shania Kennedy
October 20, 2023 – Researchers from the National Institutes of Health Clinical Center (NIH CC) found that a locally run, privacy-preserving large language model (LLM) may be suitable for labeling radiography reports, according…
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By Shania Kennedy
October 18, 2023 – Researchers presenting at the ANESTHESIOLOGY 2023 annual meeting demonstrated that an automated pain recognition system leveraging artificial intelligence (AI) may be capable of detecting pain in patients before, during,…
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By Shania Kennedy
October 12, 2023 – Researchers from the Mount Sinai Icahn School of Medicine and the University of Michigan have found that the deployment of predictive analytics tools may influence the predictive capabilities of…
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By Shania Kennedy
October 02, 2023 – Researchers at the University of Buffalo (UB) have demonstrated that a tool originally designed to predict a patient’s risk level for various addictions using genetic and psychosocial factors can…
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By Shania Kennedy
September 27, 2023 – Researchers at the University of Texas at Arlington (UTA) have been awarded a $450,000 grant from the National Institute of General Medical Sciences to develop a machine learning-based model…
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