A team from Finland has developed an artificial intelligence (AI) pathology model that detected the T-cell count in cancerous tissue with 90 percent accuracy.

Johns Hopkins University researchers have developed image analysis and machine learning tools to detect age-related macular degeneration (AMD), according to a study published in the May 2018 issue of Nature Medicine.

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.

A new ultrasound prototype utilizing an optical—rather than electronic—system may provide flexibility in simultaneously pairing the modality with other imaging techniques, such as MRI. Experts say it could provide doctors more options for using ultrasound to diagnose and treat patients.

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, Ecns.cn reported.

When researchers bought more than 200 types of tea, chocolate, herbs and other items they weren’t planning meals for the week. Instead, the team was searching for a contrast agent for imaging patients with swallowing disorders—they landed on barley.

European researchers have developed a robust macroscale imaging technique based on florescence lifetime imaging microscopy (FLIM) that can analyze cellular processes up to four centimeters in size.

Researchers have captured the highest-resolution image to date of the Zika virus, which caused a global health crisis in 2015, and left thousands of babies with serious birth defects. The research team believes the finding may aid in designing a vaccine to fight the virus.