More than 100,000 Australians are living with Parkinson’s disease, a condition that impacts movement, learning and behaviour. Researchers understand the disease is linked to low dopamine levels in the brain and plan to use that knowledge in a nation-first data-collection trial.
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Australians have raided almost $1.6 billion from their retirement funds to pay for medical treatment in the past three years. The revelations have left health policy experts outraged that superannuation nest eggs are being used to fund life-changing treatment.
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A research team led by Professor Park Sang-Hyun of the Department of Robotics and Mechatronics Engineering (also in charge of the Artificial Intelligence major) at DGIST (President Kuk Yang) developed a weakly supervised deep learning model that can accurately show the presence and location of cancer in pathological images based only on data where the...
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Over 55 million people live with dementia worldwide, and there are nearly 10 million new cases every year. An increasing amount of evidence also demonstrates that maintaining physical activity in midlife and beyond may help preserve cognitive capacity and prevent dementia.
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The scientists discovered which parts of the brain involved in misophonia are associated with tapping sounds, and learned that the parts of the brain that contribute to chewing-related misophonia may be different than previously thought.
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Recently, researchers developed a new imaging method using magnetic resonance imaging (MRI) to assess placental health. They found that their new method could strongly predict pregnancy outcomes linked to placental insufficiency.
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Healthcare is currently being revolutionised by artificial intelligence. With precise AI solutions, doctors can be supported in diagnosis. However, such algorithms require a considerable amount of data and the associated radiological specialist findings for training.
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In patients undergoing echocardiographic evaluation of cardiac function, preliminary assessment by artificial intelligence (AI) is superior to initial sonographer assessment, according to late breaking research presented in a Hot Line session today at ESC Congress 2022.
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Artificial intelligence (AI), defined as algorithms that enable machines to perform cognitive functions (such as problem solving and decision-making), has changed for some time now the face of healthcare through machine learning (ML) and natural language processing (NLP). Its use in surgery, however, took a longer time than in other medical specialties, mainly because of missing...
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What if a powerful tool could be created, using artificial intelligence (AI), that would help diagnose, predict and treat the disease process in a retina? That is the question T.Y. Alvin Liu, M.D., assistant professor of ophthalmology at Wilmer Eye Institute at the Johns Hopkins University School of Medicine and a retina specialist, has set out to answer.
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A Nagoya University research group has developed an AI algorithm that accurately and quickly diagnoses idiopathic pulmonary fibrosis, a lung disease. The algorithm makes its diagnosis based only on information from non-invasive examinations, including lung images and medical information collected during daily medical care.
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An international team of researchers has developed a method for altering one class of antibiotics, using microscopic organisms that produce these compounds naturally. The findings, published July 25 in Nature Chemistry, could lead to more efficient production of antibiotics that are effective against drug-resistant bacteria.
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