Deep learning-based analysis of chest x-rays can be used to predict the pulmonary to systemic flow ratio of patients with congenital heart disease, according to a new study published in JAMA Cardiology.

Researchers have developed a new quantitative framework that evaluates thyroid nodules at a level comparable to two expert radiologists.

Deep learning-based reconstruction (DLR) can reduce the radiation dose associated with low-dose chest and abdominal CT scans without sacrificing image quality, according to a new study published in the American Journal of Roentgenology.

Some findings from AI in Healthcare’s 2020 Leadership Survey deserve additional attention.

The American Society of Radiologic Technologists (ASRT) has published a new white paper on AI and its potential impact on the work of medical imaging and radiation therapy professionals.

AI algorithms can improve the quality of brain MRI images, according to new findings published in Neurocomputing.

NVIDIA has released new details about its annual GPU Technology Conference (GTC), a four-day event dedicated to AI technology.

Machine learning (ML) algorithms can be trained to predict acute kidney injury (AKI) in burn and trauma patients within the first 24 hours, according to a new study published in Scientific Reports.