Researchers have developed a method that leverages artificial intelligence to ensure accurate heart scans without added radiation or cost.
Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease , myocardial perfusion imaging by single photon emission computed tomography , uses a radioactive tracer and special camera to provide detailed images of blood flow to the heart, helping doctors detect coronary artery disease and other cardiovascular abnormalities.
SPECT imaging requires an additional CT scan for attenuation compensation , which corrects for how the emitted signal weakens, or attenuates, as it moves through body tissue, potentially obscuring heart images and leading to diagnostic inaccuracies. Such CT scans are typically acquired on a SPECT/CT scanner, but many facilities do not have this CT component.
Notably, CTLESS demonstrated robust performance across different scanner models, degrees of heart damage and patient demographics. Jha noted that anatomical differences between men and women result in varying levels of attenuation in these groups and confirmed that the CTLESS method yields similar performance as traditional AC for both sexes. The performance of CTLESS was also relatively stable even as the size of the training data was reduced.
Zitong Yu, Md Ashequr Rahman, Craig K. Abbey, Richard Laforest, Nancy A. Obuchowski, Barry A. Siegel, Abhinav K. Jha.Researchers have developed a model that uses artificial intelligence to predict organoid development at an early stage. The model, which is faster and more accurate than expert researchers, ...
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