Screening ultrasound (US) examinations after digital breast tomosynthesis (DBT) and after digital mammography (DM) result in comparable cancer detection rates, according to a new study published in the American Journal of Roentgenology.

Interventional radiologists can practice the delicate art of retrieving an IVC filter without risking any harm to a patient, thanks to a newly developed simulation model. 

Researchers have found that gallium-68 (Ga-68) dotatate PET/CT is a more effective tool for finding candidates for peptide receptor radionuclide therapy (PRRT) than traditional methods, sharing their findings in the Journal of Nuclear Medicine. 

Fujifilm Medical Systems U.S.A., Inc. has received FDA clearance for six different endoscopic imaging solutions.

The Medical Imaging & Technology Alliance (MITA) has continued its push to get the FDA to clarify the difference between servicing and remanufacturing. 

Siemens Healthineers announced Thursday, Sept. 26, that it has received FDA clearance for three modules of the company’s AI-Rad Companion Chest CT software.

GE Healthcare announced this week that it is partnering with several companies to develop a line of PET tracers in the hopes of better predicting patients’ responses to immunotherapies.

Aaron Green, Change Healthcare’s SVP and general manager of radiology and enterprise imaging, has watched the health IT industry go through a great deal of change over the years. Business trends have shifted, new vendors have come and gone, and groundbreaking technologies have evolved so quickly that researchers can hardly keep up.

Artificial intelligence (AI) is still gaining momentum in 2019 as researchers build bigger and better algorithms and vendors release new, state-of-the-art solutions. For healthcare providers, however, the world of AI can still be intimidating in a lot of ways; if you haven’t already started exploring the potential of AI, where do you begin? What’s the first step?