Measurements on a standard phantom and a clinical data set of patients with Duchenne muscular dystrophy (DMD) were used to validate a novel robust reference frequency method approach, which ...
Over the past decade, artificial intelligence (AI) has revolutionized the field of medical imaging, driven by the immense potential to improve diagnostic accuracy and enhance the workflow of ...
AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists have now presented a new method for configuring self-learning algorithms for a ...
AutoChamber™ and AutoBMD™ AI solutions will soon be available on Precision Imaging Network, with AI-CVD® planned next.
Although electron microscopy can already reveal details as small as one nanometer, ongoing research seeks to break through barriers limiting image quality and reducing the optical dose on the samples.
BU neuroscientist and collaborators have developed a multidisciplinary approach using a new microscope, artificial intelligence algorithm, and voltage indicators to better measure brain activity. When ...
Significant advances in artificial intelligence (AI) over the past decade have relied upon extensive training of algorithms using massive, open-source databases. But when such datasets are used 'off ...
Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great deal of experience. Artificial neural networks open up new possibilities: ...
Early-Onset Colorectal Cancer Survival Differences and Potential Geographic Determinants Among Men and Women in Utah Artificial intelligence in oncology is no longer hypothetical, and its U.S. Food ...
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