The same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range.
Jun 14, 2023
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An artificial intelligence (AI) computer program can read physicians' notes to accurately estimate patients' risk of death, length of hospital stay, and other factors important to care. Designed by a team led by researchers ...
Jun 7, 2023
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An early advocate for the electronic health records now found in hospitals across the country has developed a plan to improve their use, lighten clinicians' workload and enhance patient care.
May 25, 2023
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Long-term exposure to fine particulate matter air pollution was associated with an increase in hospital procedures in heart failure patients, according to a study published May 3, 2023, in the open-access journal PLOS ONE ...
May 3, 2023
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A team of medical researchers, engineers and computer scientists affiliated with multiple institutions across the U.S. has found that machine learning technology can help doctors predict which patients are at risk of developing ...
In April 2021, new federal rules went into effect mandating that health care providers make nearly all test results and clinical notes immediately available to patients. Evidence suggests that patients may gain important ...
Mar 20, 2023
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Researchers from Johns Hopkins Medicine and The Johns Hopkins University have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant ...
Feb 22, 2023
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Investigators in the Smidt Heart Institute at Cedars-Sinai have confirmed that people who have had COVID-19 have an increased risk for new-onset diabetes—the most significant contributor to cardiovascular disease.
Feb 14, 2023
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Fairbanks School of Public Health researchers found that popular electronic health record (EHR) screening questionnaires may miss many patients experiencing housing instability and financial strain.
Feb 9, 2023
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The post-COVID syndrome known as long COVID has four major subtypes defined by different clusters of symptoms, according to a study led by researchers at Weill Cornell Medicine.
Jan 4, 2023
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