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.
15 minutes ago
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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 ...
17 hours ago
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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.
20 hours ago
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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.
21 hours ago
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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 ...
23 hours ago
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Artificial intelligence experts at Cedars-Sinai and the Smidt Heart Institute created a dataset with more than 1 million echocardiograms, or cardiac ultrasound videos, and their corresponding clinical interpretations. Using ...
May 1, 2024
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University of Waterloo researchers have invented a digital medical imaging system that significantly improves the cancer detection process to deliver immediate results and enable swift, effective treatment for all types of ...
Apr 25, 2024
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Diagnosing rare Mendelian disorders is a labor-intensive task, even for experienced geneticists. Investigators at Baylor College of Medicine are trying to make the process more efficient using artificial intelligence. The ...
Apr 25, 2024
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A new study by investigators from Mass General Brigham demonstrates that large language models (LLMs), a type of generative AI, may help reduce physician workload and improve patient education when used to draft replies to ...
Apr 24, 2024
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A University of Texas at Dallas researcher and his international colleagues have developed an algorithm that might one day provide early medical alerts about the onset of asthma attacks or other respiratory problems.
Apr 24, 2024
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