CT

Reconstruction of 3D micro-CT images with the help of machine learning

Reconstruction of 3D micro-CT images with the help of machine learning

Researchers have used machine learning to help reconstruct three-dimensional micro-CT images of fibrous materials.

Deep learning Assesses risk of cardiovascular disease

Deep learning Assesses risk of cardiovascular disease

A team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient's risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer.

Deep learning predicts lung cancer risk

Deep learning predicts lung cancer risk

An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a new study.

Image fusion method uses AI to improve outcomes

Image fusion method uses AI to improve outcomes

Researchers have developed a new "multi-modal" image fusion method based on supervised deep learning that enhances image clarity, reduces redundant image features and supports batch processing.

Integrating imaging with deep neural networks

Integrating imaging with deep neural networks

Neural network framework may increase radiologist's confidence in assessing the type of lung cancer on CT scans, informing individualized treatment planning.

AI makes no-cath forecast

AI makes no-cath forecast

Researchers use AI software to predict coronary artery plaque composition and significance without the risks of invasive procedures.

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