At RSNA 2023, Lunit will display seven AI studies aimed at enhancing diagnostic efficiency in chest radiography and breast cancer risk evaluation. The presentations will showcase advancements like AI algorithms that improve the accuracy…
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Dr. Robert Bard, a leader in radiological diagnostics, advocates for 3D Doppler imaging’s role in non-invasive cancer detection, particularly in breast, prostate, and skin cancers. Highlighting its precision and the reduced need for biopsies,…
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Exploring the intersection of radiology and artificial intelligence (AI), this summary encapsulates insights from RSNA 2022’s keynote on AI fundamentals for radiologists. It highlights Katherine P. Andriole and Linda Moy’s expertise, addressing AI’s role…
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INVEST 2024 will be back at the Ritz Hotel in Chicago, May 21-22, and we are once again on the hunt for novel startups who will pitch LIVE in front of venture capitalist judges….
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Philips and Quibim have teamed up to develop AI-enhanced MR imaging and reporting solutions for prostate exams. This partnership aims to improve prostate cancer care efficiency and accuracy, providing an alternative to traditional PSA…
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A new PET-CT scanner has been launched at Norfolk and Norwich University Hospital, to boost access to advanced cancer diagnostics in the East of England.The hospital has advanced its onsite PET-CT service, thanks to…
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Researchers at the University of Massachusetts Amherst have developed a new method of detecting very small amounts of DNA. The breakthrough could allow clinicians to spot genetic markers of disease at the point-of-care, as…
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In the ever-evolving healthcare landscape, where precision and speed are paramount, two powerful forces are converging to reshape how we approach diagnostics and patient care: Point of Care Testing (POCT) and Digital Health. Consider…
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The pace at which generative AI has infiltrated product portfolios and media headlines in 2023 has brought excitement and consternation to those tasked with evaluating its implications for patient care. Owen Hughes reportsWhile AI…
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Mount Sinai researchers have pioneered an AI tool, “HistoAge,” featured in Acta Neuropathologica, capable of estimating brain age, predicting age at death, and identifying age-related brain changes. By analyzing 700 hippocampal section images from…
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