Artificial Intelligence

A hybrid technique combining natural language processing (NLP) and IBM Watson can accurately label free-text pathology reports, according to a new Journal of Digital Imaging study. The method may improve the quality and quantity of large-scale datasets for deep learning.

The project could produce MRI images up to 10 times faster and make MRI technology more widely available. These accelerated MRIs could also fill the role of x-ray and CT machines by making imaging quicker and safer, according to a Facebook news release.

An artificial intelligence (AI) software designed by Google DeepMind and U.K. physicians identified diseases on optical coherence tomography scans and made the correct referral choice in 94 percent of cases, according to a recent Nature Medicine report.

Researchers at Massachusetts Institute of Technology (MIT) have created a machine-learning technique that reduces the toxic chemotherapy and radiotherapy doses for patients with the most aggressive form of brain cancer.

An artificial intelligence (AI) platform created at Mount Sinai Health System in New York can accurately read a CT scan and diagnose a neurological illness, such as stroke in 1.2 seconds—outperforming its human counterpart.

The center will serve as a common space for University of California, Irvine (UCI) faculty, physicians and researchers to collaborate on translating artificial intelligence (AI)-based concepts into clinical tools to improve all aspects of healthcare.

A new artificial intelligence (AI) algorithm developed by researchers from the Lawson Health Research Institute in Ontario, Canada and The Mind Research Network in Albuquerque, New Mexico, could help predict whether a patient will successfully respond to medication for a mood disorder.  

“Despite some of the earlier market hype, it is becoming increasingly clear that AI will transform the diagnostic imaging industry, both in terms of enhanced productivity, increased diagnostic accuracy, more personalized treatment planning, and ultimately, improved clinical outcomes."

Canon Medical Research Europe, based in Edinburgh, Scotland, was awarded $180,000 to develop an artificial intelligence (AI)-based medical imaging technology prototype that can recognize, assess and measure asbestos-related cancer tumors, according to a report published Aug. 6 by Scottish Business Insider.

The Radiological Society of North America (RSNA) has launched new webinars and workshops aimed at educating radiologists, researchers and industry scientists about artificial intelligence (AI) and machine learning in medical imaging, according to an Aug. 2 RSNA press release.  

Developing a personalized radiation therapy plan can take days—time that many cancer patients are unwilling to wait. But researchers have developed a new automated artificial intelligence (AI) software that can do the job in 20 minutes.

New research from the Massachusetts Institute of Technology (MIT) suggests a physician's intuition—or, in other words, gut feeling—about a patient’s condition significantly influences the amount of diagnostic imaging, which is well above the capabilities of artificial intelligence (AI).