As artificial intelligence (AI) is increasingly used in radiology, researchers caution that it's essential to consider the environmental impact of AI tools, according to a focus article published in Radiology.
Feb 27, 2024
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A team of University of Michigan researchers has developed a multimodal AI model to predict treatment outcomes of tuberculosis (TB) patients. Their analysis of worldwide patient data may lead to personalization of TB treatment.
Feb 12, 2024
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A suite of filters that can be applied to medical images to help health care professionals with analysis and diagnosis has been developed by an international team of researchers.
Feb 7, 2024
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An interdisciplinary team of researchers at the University of Waterloo has developed a more trustworthy method to diagnose diseases such as COVID-19, pneumonia, and melanoma using artificial intelligence (AI) tools.
Jan 29, 2024
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An experimental drug designed to block blood-clotting proteins may lower the risk of recurrent strokes, according to a dose-finding trial published in The Lancet Neurology.
Jan 25, 2024
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Cedars-Sinai Cancer investigators have used a unique precision medicine and artificial intelligence (AI) tool called the Molecular Twin Precision Oncology Platform to identify biomarkers that outperform the standard test ...
Jan 22, 2024
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Generative artificial intelligence could transform health care through things like drug development and quicker diagnoses, but the World Health Organization warned Thursday of the potential pitfalls in rushing to embrace ...
Jan 18, 2024
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A new study from researchers from Brigham and Women's Hospital, in collaboration with researchers at the University of California San Francisco, has shed light on the rate and impact of diagnostic errors in hospital settings.
Jan 8, 2024
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Magnetic resonance imaging (MRI) offers great opportunities when it comes to diagnosing cancer. However, the scanning procedure is extremely sensitive. One of the many problems occurs if the patient moves ever so slightly ...
Jan 8, 2024
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At a time when some industries are shying away from and questioning the use of AI in daily work, those in the medical field are leaning into the support the technology can provide to doctors.
Jan 5, 2024
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