Researchers led by the University of Lausanne, Switzerland, have tested the impact of a digital clinical decision support algorithm (CDSA) called ePOCT+ on managing acutely ill children under 15 in Tanzanian primary care ...
Scientists in the US have investigated the ways in which medical doctors and public health professionals deal with hypothetical dilemmas that require them to decide whether to sacrifice a few for the sake of saving many. ...
Young people could be spared from going blind by a new genetic risk tool that could also help diagnose multiple sclerosis (MS) earlier, to start effective treatments.
Feb 28, 2024
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Proprietary artificial intelligence software designed to be an early warning system for sepsis can't differentiate high- and low-risk patients before they receive treatments, according to a new study from the University of ...
Feb 15, 2024
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Russian scientists have proposed a new promising rapid way to diagnose breast cancer. It will spot the disease based on a blood test that takes between 15 and 20 minutes. The solution can be adapted to spot other diseases, ...
Jan 31, 2024
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Researchers have developed an artificial intelligence (AI) system that can rapidly detect COVID-19 from chest X-rays with more than 98% accuracy. The study results have just been published in Scientific Reports.
Jan 8, 2024
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Physician-investigators at Beth Israel Deaconess Medical Center (BIDMC) compared a chatbot's probabilistic reasoning to that of human clinicians. The findings, published in JAMA Network Open, suggest that artificial intelligence ...
Dec 11, 2023
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Colorectal cancer is the second leading cause of cancer death in the United States. It's also one of the most preventable cancers due to the availability of robust screening tools. Yet nearly 40% of Americans opt out of such ...
Nov 20, 2023
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A new study led by Yale Department of Psychiatry researchers has identified numerous physical health conditions, particularly diseases of the cardiovascular and respiratory systems, that have genetic links to post-traumatic ...
Nov 8, 2023
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A newly developed prediction model may be able to calculate the risk of opioid relapse among individuals in the early stages of medication treatment—as early as three weeks into therapy.
Nov 3, 2023
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