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Machine learning, imaging combine to predict those at risk of suicide

Psychology and mental health professionals may now be able to decipher distinctive patterns of activity in an individuals' brain correlated to suicide through using health imaging technology.  

No, Health Imaging Is Not Trailing Behind Health IT

The computerization of healthcare continues to speed forward, and it’s not exactly flying below the radar. From mHealth to health-specific AI, from patient portals to portable patient data—to any of half a dozen other areas of techno-advancement currently generating buzz—it sometimes seems as though anything and everything having to do with HIT is a hit.

New website compares Maryland hospital rates to help consumers

According to the Baltimore Sun, a new website launched Oct. 19 by the Maryland Health Care Commission will help consumers compare costs of operations at different Maryland hospitals and ultimately allow them to make more informed decisions.  

Radiologists leverage AI to characterize cancerous breast lesions

Artificial Intelligence (AI) can now determine whether high-risk breast lesions (HRLs) are likely to become cancerous, in turn avoiding unnecessary surgery in nearly one-third of patients, according to a new study by researchers from Massachusetts General Hospital and Harvard Medical School in Boston. 

New AMA initiative ties together health, tech sectors

The amount of healthcare data that currently exists is extensive—to say the least. The need for a single platform to house this vast amount of data and is vital. A new initiative from the American Medical Association (AMA) invites representatives from health and technology sectors to collaborate in solving this problem and attribute to a new era of patient care.  

Artificial Intelligence in Radiology: The Game-Changer on Everyone’s Mind

AI’s Impact Will Be Monumental—Will Radiologists Go Along for the Ride or Be Left in the Dust?

CAD use for digital screening mammography remains stable

In the last 10 years, the Breast Cancer Surveillance Consortium (BCSC) has released numerous studies that show computer-aided detection (CAD) for screening mammography can lead to decreased radiologist reading accuracy. According to a recent study published by the Journal of the American College of Radiology, however, CAD use at digital screening mammography facilities remained stable from 2008 to 2016.

UC Berkeley to use $13.4M NIH grant to improve neuroimaging

Researchers at the University of California, Berkeley have lofty goals. They want to use a $13.43 million grant from the National Institutes of Health to improve functional MRI techniques to improve resolution in imaging by a factor of 20.

Regulating AI: Is it possible?

Is it possible to regulate AI? If so, how would the U.S. Food and Drug Administration (FDA) do it?

Researchers develop new smartphone app to make radiology consultations more efficient

Consultation services are becoming more and more important in radiology, but organizing an efficient system where someone is always available to answer questions is no easy task. Researchers developed a smartphone-based application that aims to make radiology consultation much simpler, detailing their experience in the Journal of the American College of Radiology.