NIH Grant Research to Use AI to Improve Cardiac CT Diagnosis
The $3.7 million NIH grant supports AI developments to improve the accuracy of diagnosis and reduce the need for more costly and invasive procedures.
Category: Machine Learning & AI
Machine Learning & AI
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Machine Learning & AI
Latest
Artificial Intelligence Detects Osteoarthritis Years Before It Develops
Researchers have created a machine-learning algorithm that can detect subtle signs of osteoarthritis—too abstract to register in the eye of a trained radiologist—on an MRI scan taken years before symptoms even begin.
Machine Learning & AI
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Machine Learning Identifies Personalized Brain Networks in Children
Machine learning is helping Penn Medicine researchers identify the size and shape of brain networks in individual children, which may be useful for understanding psychiatric disorders.
New Research Finds FastMRI Scans Generated with AI Are as Accurate as Traditional MRI
New research finds that rapid MRI scans generated with artificial intelligence were just as effective as, and were diagnostically interchangeable with, traditional MRI.
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Artificial Intelligence Could Improve CT Screening for COVID-19 Diagnosis
Researchers at the University of Notre Dame are developing a new technique using artificial intelligence that would improve CT screening to more quickly identify patients with COVID-19.
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An AI Assist for Immunotherapy
Here, AXIS Imaging News sits down with Dr. Anant Madabhushi, co-author of a study that reveals that artificial intelligence can be used by radiologists to validate the success of immunotherapy treatment on patients.
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Radiologists Optimistic about AI, Despite Hurdles
More than half of the 207 imaging leaders and radiologists at U.S.-based hospitals and imaging centers surveyed say they’re optimistic that artificial intelligence will impact patient care, according to a recent study by Framingham, Mass.-based Definitive Healthcare.
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AI in Healthcare: Ready for Rollout?
Artificial intelligence technologies still face some significant barriers before they enter clinical practice, according to Casey Ross, a national technology correspondent for STAT. Here are some of them.
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