Chest CT scans of three representative patients from the Framingham Heart Study. The deep learning system has identified and outlined the heart (blue contours) and coronary calcium (orange contours). ...

Bioimaging technologies are the eyes that allow doctors to see inside the body in order to diagnose, treat, and monitor disease. Ge Wang, an endowed professor of biomedical engineering at Rensselaer ...

Engineers have demonstrated how a deep learning algorithm can be applied to a conventional computerized tomography (CT) scan in order to produce images that would typically require a higher level of ...

A new AI tool developed by researchers from Cedars-Sinai Medical Center can accurately measure plaque deposits in coronary arteries and predict a patient’s risk of suffering a heart attack within five ...

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 ...

Artificial intelligence can augment current methods to predict the risk that head and neck cancer will spread outside the borders of neck lymph nodes, according to researchers with the ECOG-ACRIN ...

In a recent study published in The Lancet Regional Health-Southeast Asia, researchers developed an artificial intelligence (AI)-based predictive system (AIPS) model for the early detection of lung ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

TROY, N.Y. -- Bioimaging technologies are the eyes that allow doctors to see inside the body in order to diagnose, treat, and monitor disease. Ge Wang, an endowed professor of biomedical engineering ...