Patients are 20% less likely to die of sepsis because a new AI system developed at Johns Hopkins University catches symptoms hours earlier than traditional methods, an extensive hospital study demonstrates.
Jul 21, 2022
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95
A new computer-aided diagnostic tool developed by KAUST scientists could help overcome some of the challenges of monitoring lung health following viral infection.
May 23, 2022
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403
In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and ...
Oct 25, 2021
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501
A new method for analyzing deep-tissue medical images utilizes artificial neural networks to decrease background noise, giving medical practitioners a clearer, sharper image of deep tissues than currently available.
Researchers at UBC and BC Cancer have developed a new artificial intelligence (AI) model that can accurately predict if a person receiving cancer care will require mental health services during their treatment journey.
May 2, 2024
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24
Four proposed state-of-the art image search engines for automating search and retrieval of digital histopathology slides were found to be of inadequate performance for routine clinical care, new research suggests.
May 2, 2024
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40
Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier than current methods, potentially improving outcomes and reducing cost and morbidity. The findings, led by researchers ...
May 1, 2024
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44
Despite ChatGPT's reported ability to pass medical exams, new research indicates it would be unwise to rely on it for some health assessments, such as whether a patient with chest pain needs to be hospitalized.
May 1, 2024
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41
Scientists have designed a new artificial intelligence model that emulates randomized clinical trials to determine the treatment options most effective at preventing stroke in people with heart disease.
May 1, 2024
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31
Video-enabled glasses have the potential to support patients at risk of falls by allowing medical staff to monitor how they move around their homes and their community. However, with privacy concerns at the forefront of this ...
May 1, 2024
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24
