Medical diagnostics expert, doctor's assistant, and cartographer are all fair titles for an artificial intelligence model developed by researchers at the Beckman Institute for Advanced Science and Technology.
Mar 4, 2024
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Metastases are largely responsible for the death rate of patients with solid cancers; the prognosis of cancer patients reduces significantly if metastases are diagnosed. Until now there has been no procedure available to ...
Mar 4, 2024
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Age-appropriate chores and responsibilities are an important part of a child's development.
Mar 4, 2024
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A team of UC Davis Health clinicians and data scientists has developed a machine-learning model to better predict which patients are at greater risk of developing a common type of liver cancer, hepatocellular carcinoma (HCC).
Feb 29, 2024
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Submucosal tumors (SMTs) are usually found in the stomach and esophagus during an upper endoscopy. Submucosal tunneling endoscopic resection (STER) and non-tunneling endoscopic resection (NTER) are the two most commonly used ...
Feb 28, 2024
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Artificial intelligence, including machine learning systems, could help mental health clinicians optimize treatments for speech disfluency, or interruptions in the regular flow of speech.
Feb 27, 2024
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Welcome to the world of modern medicine. Computer vision tools can accurately detect suspicious skin lesions or predict coronary artery disease from scans. Data-driven robots are guiding minimally invasive surgery.
Feb 23, 2024
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A new study from Vanderbilt University Medical Center demonstrates the promise of artificial intelligence to help refine and target the myriad computerized alerts intended to assist doctors and other team members in day-to-day ...
Feb 22, 2024
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Detecting cancer during its early stages, that is, before it spreads to other parts of the body, almost always leads to better treatment outcomes and lower mortality rates. However, for people without good access to health ...
Feb 21, 2024
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UC San Francisco scientists have found a way to predict Alzheimer's disease up to seven years before symptoms appear by analyzing patient records with machine learning.
Feb 21, 2024
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