Researchers involved in a national multi-year, multi-center project are challenging the U.S. Department of Energy's supercomputers while analyzing brain imaging data via artificial intelligence (AI) to improve treatment of traumatic brain injury (TBI), according to a July 3 release.

An artificial intelligence (AI) system faced-off against 15 top physicians from across China to see which could produce the most correct diagnoses in the least amount of time, reported.

China and Israel are global leaders in artificial intelligence (AI) image analysis technology because of government support and industry collaboration, according to a recent Forbes article.

As artificial intelligence (AI) and medical imaging continue to transform clinical practice, radiologists-in-training can no longer take a passive role in the march toward this coming change.

A convolutional neural network (CNN) model performed as well as clinicians in classifying the area of concern in retinal fundus images and provided evidence for why those choices were made—a common problem for artificial intelligence (AI) technology.

MIT researchers have developed an artificial intelligence-(AI) based algorithm that can register three-dimensional (3D) images 1,000 times more quickly than standard medical image registration techniques.

Researchers utilized five different machine learning approaches to accurately spot lymphedema—a negative side effect of breast cancer treatment—which may help detect it earlier and improve treatment.

Research presented at ASCO 2018 found that using contrast perfusion-weighted MRI enhanced by artificial intelligence (AI) and texture analysis can differentiate between brain tumors according to their mutation status.

“The most striking thing to me as a researcher crafting these attacks was probably how easy they were to carry out," said study lead author Samuel Finlayson, a computer scientist and biomedical informatician at Harvard Medical School in Boston, in an IEEE Spectrum story.

Artificial intelligence (AI) is poised to change transportation with self-driving vehicles, Kimberly Powell, with the Nvidia Corporation, and colleagues believe their work on the subject can also be applied to radiology.

The Society for Imaging Informatics in Medicine’s 2018 annual meeting wrapped up with a keynote address from Curt Langlotz, MD, PhD, with Stanford University, on the rise of artificial intelligence (AI).

A professor of radiology at Johns Hopkins Medicine in Baltimore and computer science students are developing a tumor-detecting AI algorithm that can be built into computed tomography (CT) scanner software to recognize and differentiate between a normal pancreas and one that's cancerous.