Tag: Imaging

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Artificial Intelligence

Combining AI with cardiac imaging helps predict heart attacks, cardiovascular deaths

Posted on | by aiuniverse

Source – https://www.cardiovascularbusiness.com/ Researchers have developed a deep learning network capable of accurately predicting a person’s risk of adverse cardiac events, presenting their findings virtually at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2021 Annual Meeting. The new analysis included data from more than 20,000 patients who underwent single photon emission CT (SPECT) Read More

Machine Learning

Machine learning analyses of lung imaging for COVID-19 falls short, Minded launches to streamline psychiatric med refills and more digital health news briefs

Posted on | by aiuniverse

Source – https://www.mobihealthnews.com/ Also: PainChek’s app picks up European and Australian regulatory clearances; Digital health access as a social determinant of health. AI isn’t ready for COVID-19 prime time. A systematic review of published this week in nature machine intelligence warns that new models using machine learning to review chest radiographs and chest computed tomographies for COVID-19 have major Read More

Machine Learning

New technology uses near-infrared imaging and machine learning to find hidden tumors

Posted on | by aiuniverse

Source – https://www.news-medical.net/ Tumors can be damaging to surrounding blood vessels and tissues even if they’re benign. If they’re malignant, they’re aggressive and sneaky, and often irrevocably damaging. In the latter case, early detection is key to treatment and recovery. But such detection can sometimes require advanced imaging technology, beyond what is available commercially today. Read More

Deep Learning

Deep Learning Tool Accurately Selects High-Quality Embryos for IVF

Posted on | by aiuniverse

Source: healthitanalytics.com A deep learning system was able to choose the most high-quality embryos for in-vitro fertilization (IVF) with 90 percent accuracy, according to a study published in eLife. When compared with trained embryologists, the deep learning model performed with an accuracy of approximately 75 percent while the embryologists performed with an average accuracy of 67 percent. The Read More