The global market for artificial intelligence (AI) in medical imaging is expected to see significant growth in the years ahead, topping $2 billion by 2023, according to a new report from Signify Research.

Researchers have developed an artificial intelligence (AI) platform that can detect acute neurologic events in CT images in just 1.2 seconds, according to a new study published in Nature Medicine.

The American College of Radiology’s Harvey L. Neiman Health Policy Institute and Georgia Institute of Technology in Atlanta have announced a new partnership focused on applying analytics and artificial intelligence (AI) to large medical claims databases.

Researchers from South Korea have used artificial intelligence (AI) to successfully identify tumors in histology images obtained from colorectal cancer (CRC) patients, sharing their findings in the Journal of Digital Imaging.

Artificial intelligence (AI) is an immensely popular topic in radiology, sparking countless discussions and debates about whether it will give radiologists a new tool for providing high-quality patient care or end up replacing them altogether.

A machine-learning algorithm that uses a technique known as reinforced learning can dramatically cut toxic chemotherapy and radiotherapy by optimizing treatment plans and drug dosages for glioblastoma patients, according to research out of the Massachusetts Institute of Technology.

Computer-aided diagnosis (CAD) powered by artificial intelligence can accurately assess diminutive colorectal polyps, according to a new study published in Annals of Internal Medicine. But is the CAD’s performance level high enough that specialists can follow the recommended “diagnose-and leave” strategy for diminutive polyps?

A team at the University of Toronto has successfully developed artificial intelligence (AI) that helps automate the radiation therapy planning process, potentially saving radiologists from several days of work on just one patient.

Aidoc, a Tel-Aviv, Israel-based medical imaging company, announced Wednesday, August 8, that it has gained FDA clearance for its brain solution that helps radiologists flag acute intracranial hemorrhage (ICH) cases using artificial intelligence (AI).

iCAD announced that its PowerLook Density Assessment 3.4 solution has gained FDA clearance. The software, compatible with iCAD’s digital breast tomosynthesis solutions, uses artificial intelligence to assess patients’ breast density.

Deep learning technology can be used to evaluate MR images of the knee, according to a new study published in Radiology.