A deep-learning algorithm was significantly faster and just as accurate as most radiologists in analyzing chest X-rays for several diseases, according to a study led by Stanford University researchers.

With the help of machine learning, researchers were able to train a computer to analyze breast cancer images and classify tumors accurately, according to a study published in NPJ Breast Cancer.

After receiving FDA clearance for AI software that can detect brain bleeds from CT images, MaxQ AI has announced a deal to integrate the software with medical imaging platforms.

In an interview with AI in Healthcare, JingJia Liu, chief executive officer at Wision AI, discussed the company's new machine-learning algorithm for polyp detection, what’s next and the impact of AI products in the medical industry.

Five technology centers dedicated to using AI to speed up disease diagnosis and improve patient outcomes are opening throughout the United Kingdom.

NinePoint Medical, a Massachusetts-based medical device company, has received market clearance from the FDA for its new AI-based platform for image feature segmentation.

Researchers are hopeful a newly-developed machine-learning algorithm can be used to improve the detection of benign polyps during colonoscopies following a recent study validating the method.

A deep learning technique was able to detect glaucoma with more accuracy than traditional approaches, according to a recent study conducted by IBM and New York University scientists.

A deep-learning (DL) algorithm was able to assess mammographic breast density at the level of an experienced mammographer, according to a study published in Radiology.

PACS is powering better workflow in breast imaging, transforming the way breast imaging radiologists read studies and interact with one another by improving physician efficiency, accuracy and saving time. Metrics matter in healthcare today and now excellent efficiency, productivity, quality of care and provider and patient satisfaction are measures of success that belong together in the pursuit of better breast imaging.

Having been in the Sectra PACS fold since 2004, members of the radiology department at six-hospital CoxHealth in Springfield, Mo., didn’t need much convincing to “VNAble” their existing system so it could handle cardiology workflows on top of their own.

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.