What if your old chest scans—taken years ago for something unrelated—held a secret warning about your heart? A new AI tool called AI-CAC, developed by Mass General Brigham and the VA, can now comb ...
Slice thickness of computed tomography (CT) constitutes a vital determinant of image quality, which controls the spatial resolution of the volumetric image. Thinner slices yield images with higher ...
Labeling errors can significantly impact the performance of deep learning models used for screening chest radiographs. The deep learning model for detecting pulmonary nodules is particularly ...
A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference. The model, called ...
A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...
NEWARK, Del. (WPVI) -- Artificial intelligence is very controversial in many quarters. But in some areas of medicine, it's becoming an invaluable tool. Carolyn Klair handled her COPD for 25 years, but ...
Dr George Owiti, a radiographer at Kericho County Hospital examines the Chest CT results of a patient admitted to the hospital. [James Wanzala, Standard] Despite recent breakthroughs that have ...
Researchers used a deep learning AI model to uncover the first imaging-based biomarker of chronic stress by measuring adrenal gland volume on routine CT scans. This new metric, the Adrenal Volume ...
A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.
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