If generalizable AI models are to meaningfully contribute to precision cancer care, they’ll need to incorporate not only imaging data but also digitalized clinical notes, biomarker assays and monitor readouts.

An AI startup in the neuro-oncology space has received the government’s go-ahead to market software for analyzing certain fast-growing brain tumors on MRI.

Society of Breast Imaging (SBI) President John Lewin, MD, discusses how legislation concerning breast density notifications has impacted mammography.

Should patients read their radiology reports ahead of the doctor who ordered the exam? That’s not a new question. It was supposed to have been settled in the affirmative by the 21st Century Cures Act.

A Big Four tech company has launched a platform it hopes will accelerate data interoperability and AI adoption in, specifically, medical imaging.

The criminal saga of the X-ray business owner who got caught fleecing CMS of $2 million—while grabbing for another $1.7 million or so—has reached its epilogue.

Recently a radiomics-based machine learning model proved highly accurate at predicting which patients would develop pancreatic cancer three to 36 months after abdominal CT imaging.

According to the agency, directories can serve as important resources for patients who need to locate providers or compare health plan networks.