More than 350 teams submitted results as part of the SIIM-ACR Pneumothorax Detection and Localization Challenge and were required to create algorithms to prioritize patients for quick review and treatment.

The results are in! The American College of Radiology (ACR) and Society for Imaging Informatics in Medicine (SIIM) announced the winners of the groups’ machine learning challenge during SIIM’s Conference on Machine Learning in Medical Imaging in Austin, Texas.

Radiation boosts the immune system of patients with metastatic non-small-cell lung cancer (NSCLC) after they stop responding to immunotherapy, according to findings presented at the 2019 annual meeting of the American Society for Radiation Oncology (ASTRO).

AI can predict when patients undergoing radiation treatment for head and neck cancer may lose significant weight or require a feeding tube, according to findings presented at the 2019 annual meeting of the American Society for Radiation Oncology (ASTRO).

A new machine learning approach can predict the negative side effects of radiation treatment in patients with head and neck cancers. The findings, presented at the American Society for Radiation Oncology (ASTRO) annual meeting, can help select patients who might need a more tailored care approach.

Patients who undergo partial breast radiation therapy after a lumpectomy are as satisfied with the outcome as those who undergo whole breast radiation therapy, according to findings presented at the 2019 annual meeting of the American Society for Radiation Oncology (ASTRO).

The American Society of Radiologic Technologists (ASRT) released a statement Sep. 12, announcing their support of a new bill that would create regulations and licensure for medical imaging and radiation professionals.

The American Society of Nuclear Cardiology, together with eight other nuclear medicine and cardiology societies, have published a consensus document outlining the best practices for imaging and diagnosing cardiac amyloidosis.