CT colonography’s uphill climb may only get steeper, as researchers have achieved 100% accuracy identifying cancers below the surface of colorectal tissue by combining optical coherence tomography with deep learning.

Hospitals and health systems taking the leap into enterprise imaging have some pressing questions to consider, including who controls the imaging data?

INFINITT North America, award–winning developer of enterprise image management solutions for healthcare, will be highlighting a next generation, AI-empowered PACS viewer at RSNA 2019.

The Silicon Valley giant was set to publish a dataset containing 100,000 chest x-rays, until it received an urgent call from the National Institutes of Health.

St. George University Hospitals Foundation Trust in the U.K. admitted that missed radiology findings contributed to the death of three patients at its hospital, according to reporting from Health Services Journal.

An Australian researcher found labeling problems, some "significant," within two large, publicly available medical imaging datasets.

The Ovarian-Adnexal Reporting and Data System combines a common North American approach with a widely used European algorithmic technique, created by an American College of Radiology-sponsored team.

Facial recognition software paired patient photographs to their corresponding MRI scans 83% of the time, according to new research out of the Mayo Clinic.