Primary care physicians may now be able to identify moderate to severe levels of retinopathy in adult patients with diabetes using a recently FDA-approved artificial intelligence (AI) imaging device.

Contrast-enhanced subharmonic imaging (SHI)—a new technique for imaging of microbubble ultrasound contrast agents—detected prostate cancers not identified by traditional MRI, according to a recent study presented at the American Roentgen Ray Society (ARRS) 2018 Annual Meeting.

Researchers at MIT and Massachusetts General Hospital found indocyanine green, an FDA-approved and commercially available fluorescent dye, ideal in short-wave infrared (SWIR) imaging—a discovery that may allow clinicians to create clearer biological images, MIT News reports.

Researchers from the University of Southern California (USC) Viterbi School of Engineering are making radiofrequency ablation safer and faster with real-time thermal imaging and an associated probe device, according to a recent USC news release.

First ZEISS ZEN Intellesis solution enables segmentation of correlative microscopy datasets.

Researchers from New York and California recently used MRI to determine prenatal exposure to commonly used antidepressants in pregnant women may be associated with impacted fetal brain development—particularly in areas crucial to emotions.

Despite radiology’s love-hate relationship with artificial intelligence (AI), advancements could afford the field an opportunity to “hit refresh” and reinvent itself, Emory University professor and radiologist Srini Tridandapani, PhD, MD, MSCR, wrote in Academic Radiology this month.

A team of international researchers published a study in Radiology that found surface regularity taken from high-resolution contrast-enhanced pretreatment volumetric T1-weighted MRIs to be an accurate predictor of survival in patients with specific malignant brain or spine tumors.