HistoQC, created by bioengineering researchers at Case Western University, is an open-source quality-control tool that helps users flag low-quality images while preserving those that can help clinicians make accurate diagnoses.
Patient portals have been associated with numerous benefits, but there are challenges to consider as well, according to a new analysis published in the Journal of the American College of Radiology. What can be done to address these challenges?
Allowing patients to communicate directly with radiologists through an online portal helps them stay informed and feel more engaged, according to a case study published in the Journal of the American College of Radiology.
Clinical decision support (CDS) systems can play a role in reducing unnecessary imaging orders, according to a study published in PLOS ONE. However, the authors noted, the reduction may be relatively modest.
A clinical decision support (CDS) tool designed to limit inappropriate high-cost imaging reduced targeted scans by 6%, reported authors of a study published in PLOS One. The results may be useful for creating a more efficient tool given the upcoming CDS mandate in 2020.
Who wouldn’t want greater consistency in radiology reports’ substance, style and actionability to referring clinicians? And yet a substantial number of radiologists have intently avoided, quietly thwarted or tacitly rejected structured reporting. They can only hold out so long.
Using computer-aided detection (CAD) software powered by artificial intelligence leads to fewer false-positive mammograms, according to new findings published by the Journal of Digital Imaging. Significant cost savings could also be realized by making such a switch.
Artificial intelligence and machine learning technologies could fundamentally change healthcare forever, both for providers and their patients. A new analysis published in the New England Journal of Medicine examined that potential shift in great detail.
What happens when a software virus runs up against a physician trained to spot ailments? In a recent study, malware designed to create fake nodules on images successfully fooled radiologists into making incorrect diagnoses.
As if healthcare providers didn’t already have enough cybersecurity threats to worry about, researchers have now found that malware can create fake findings in imaging results and deceive radiologists.