By Shania Kennedy
February 29, 2024 – Researchers at the Icahn School of Medicine at Mount Sinai have developed machine learning (ML) models to identify mortality predictors in dementia patients, according to a study published this…
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By Shania Kennedy
February 27, 2024 – Researchers from Pennsylvania State University (PSU) have developed a natural language processing (NLP) framework to improve the efficiency and reliability of artificial intelligence (AI)-driven medical text summarization tools.
The medical…
By Shania Kennedy
February 23, 2024 – Researchers from the New York Eye and Ear Infirmary of Mount Sinai (NYEE) demonstrated that OpenAI’s Generative Pre-Training–Model 4 (GPT-4)can match, or in some cases outperform, ophthalmologists in the…
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By Shania Kennedy
February 21, 2024 – Hartford HealthCare has launched its Center for Artificial Intelligence (AI) Innovation in Healthcare, one of a handful of such centers in the United States set to pursue AI research…
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By Shania Kennedy
February 16, 2024 – Researchers from Stanford University and the University of Washington have developed an auditing framework designed to shed light on the ‘black box’ decision-making processes of healthcare artificial intelligence (AI)…
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By Shania Kennedy
February 14, 2024 – Artificial intelligence (AI) chatbots like ChatGPT, Google Bard, and BingAI provide information about musculoskeletal health with inconsistent accuracy, according to recent studies presented at the 2024 Annual Meeting of…
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By Shania Kennedy
February 12, 2024 – Researchers from Mount Sinai have been awarded $4.1 million from the National Heart, Lung, and Blood Institute (NHLBI) at the National Institutes of Health (NIH) to develop artificial intelligence…
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By Shania Kennedy
February 08, 2024 – A research team from the University of Texas at Arlington (UTA) has developed an algorithm to provide optimal personalized treatment options for esophageal cancer patients, according to a January…
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By Shania Kennedy
February 07, 2024 – University of Virginia (UVA) researchers have developed a machine learning tool to identify factors associated with cardiac fibrosis and predict which drug candidates can help prevent the condition.
Cardiac fibrosis…
By Shania Kennedy
February 02, 2024 – Researchers from the University of Texas at Arlington (UTA) have developed a model to predict how a patient’s Alzheimer’s will progress over time, according to a study published recently…
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