The winning image, entitled “Kidney Rainbow”, was selected from 373 entries and acquired by Nian Wang, PhD, assistant professor of radiology at the Center for In Vivo Microcopy at Duke University in Durham, North Carolina.

The desire to deliver patient-centered care drives many caring and high-achieving individuals to pursue a career in medicine, and AI can unburden today's physicians so they can stay focused on that primary goal.

The new platform—which can automatically detect motile parasites in bodily fluids and analyze more than three milliliters of a bodily fluid sample in 20 minutes—provides images clearer than those from traditional optical microscopy, according to research published online Dec. 12 in the journal Light: Science & Applications.

Before the true potential of new technologies like AI can be realized, the healthcare industry must first address health disparities and implicit bias many patients face, American Medical Association (AMA) President-Elect Patrice A. Harris, MD, said in a recent viewpoint article.

Consistent bullying can take a great mental toll on teenagers. A new study published in the journal Molecular Psychiatry found those who are regularly victimized may be sustaining physical changes to the brain.

Aidoc and the American College of Radiology Data Science Institute (ACR-DSI) are now helping artificial intelligence (AI) researchers track the performance of various algorithms with an assist from Nuance's PowerScribe Workflow Orchestration platform. 

An artificial intelligence (AI) technique developed by engineers at MIT in Cambridge, Massachusetts may be used to illuminate transparent features in medical images taken with little to no light. The research was published online Dec. 12 in the journal Physical Review Letters.

At the RSNA’s 2018 Annual Meeting in Chicago, Aidoc announced a new partnership with the American College of Radiology Science Institute to create standard solutions for the integration of AI into medical imaging and radiologists’ daily workflow.