Researchers have developed a novel technique that reconstructs medical images using artificial intelligence (AI) and machine learning, according to a new study published in Nature. This saves radiologists valuable time and could potentially result in patients being exposed to lower radiation doses.

A virtual reality (VR) program designed for early-career interventional radiologists and medical students is being further developed for use in health simulations and medical emergencies, according to a report in the Journal of the American College of Radiology.

Artificial intelligence (AI) technologies had a significant presence at the European Society of Radiology’s annual meeting, the European Congress of Radiology (ECR) 2018. According to a new report published by Signify Research, however, the buzz wasn’t as strong as it was at RSNA 2017 in Chicago.

Researchers used machine learning techniques to confirm that radiomic imaging features of breast tumors extracted from digital mammography are associated with breast cancer subtypes, according to a new study published in Academic Radiology.

Zebra Medical Vision announced this week that its newest algorithm, used to detect intracranial hemorrhages, has received the CE regulatory approval.

TeraRecon, EnvoyAI and Ambra Health announced Tuesday, March 6, that they have collaborated on a new end-to-end artificial intelligence (AI) strategy.

Radiologists must step up and get involved with the design and development of AI tools relevant to radiology, according to a new column published in the Journal of the American College of Radiology. By just taking a “wait and see” approach, specialists risk being left out of the conversation altogether.

Forty-seven percent of healthcare organizations are either already using artificial intelligence (AI) to help with medical imaging or actively planning to use AI, according to a new report published by KLAS. And adoption is expected to escalate sooner than later.