Besides pinpointing microfractures, the researchers believe combining color spectral CT imaging with their novel nanoparticles could help detect more serious problems such as heart blockages.

"The 7T MRI scanner affords us new ways of viewing areas of damage in neurologic diseases such as MS that were not well seen using 3T MRI," corresponding author Jonathan Zurawski, MD, said.

Radiologists, medical students and surgeons all agree that AI should be incorporated into diagnostic radiology, but for the most part their perceptions of the technology are drastically different.

When we go to sleep at night, our brains are wiped clean of harmful toxins. Boston-area researchers now have the evidence to prove it, thanks in part to high-resolution imaging.

Deep learning can identify cancerous and precancerous esophagus tissue on digitized pathology slides, opening the door for AI to alter the digital pathology landscape.

More screen usage can negatively impact the development of children’s brains, particularly regions associated with language development, according to a recent study published in JAMA Pediatrics.

“Our broad radiology community has a unique opportunity to engage with this exciting scientific evolution, working with interdisciplinary ‘convergence science’ teams,” Andrea Rockall, clinical chair of radiology, Imperial College London, wrote in a new editorial.

Tomoelastography combines tomography and elasticity, allowing researchers to diagram the spread of mechanical waves within the liver.