Imaging Informatics

A team of researchers out of China found the CT-based radiomic signature of primary tumors can be used to quantiatively and noninvasively predict the spread of a common form of lung cancer to lymph nodes.
Apr 18, 2018 | Imaging Informatics
Twitter has become the most widely used social media network by those in the medical community. But imaging providers may not be properly using the platform, according to a study published in the Journal of the American College of Radiology.
Apr 12, 2018 | Imaging Informatics
Radiologist requisitions are the primary means of acquiring clinical information and have been shown to improve diagnosis. But new research suggests the quality of clinical information in these forms is declining.
Apr 09, 2018 | Imaging Informatics
Philips Healthcare and the U.S. Department of Homeland Security's Industrial Control Systems Cyber Emergency Response Team (ICE-CERT) issued security advisories regarding vulnerabilities to Philip's medical imaging management software systems ISite and IntelliSpace PACS.
Deep learning and artificial intelligence (AI) are often associated with identifying nodules and classifying images, but a recent study found convolutional neural networks (CNNs) can be utilized in radiology workflows to determine musculoskeletal MRI protocols.
Mar 29, 2018 | Imaging Informatics
Radiologists are subject to a myriad of interruptions. These frequent disturbances increase reading times and reduce accuracy with potentially negative consequences for both patients and providers, according to a recent Academic Radiology study.
Mar 23, 2018 | Imaging Informatics
Gordon Memorial Hospital in Sheridan County, Nebraska, recently added a digital x-ray machine, and two years ago bought a CT scanner. Since then, diagnosis and overall care has been steadily improving, the Scottsbluff StarHerald reports.
Mar 23, 2018 | Imaging Informatics
According to an article published in the Journal of the American College of Radiology, the rise of PACS and digital reading rooms are contributing to work-related musculoskeletal injuries among radiologists.
Mar 23, 2018 | Imaging Informatics
A team of Colorado researchers found data entry software can reduce errors in ultrasound and dual-energy x-ray (DEXA) radiology reports while saving time and up to $1 million in radiologist wages over five years.
Mar 21, 2018 | Advanced Visualization
Applying augmented reality (AR) to surgery may ultimately decrease medical errors made both inside and outside the operating room, according to an article published online by Harvard Business Review.
Mar 13, 2018 | Imaging Informatics
Health imaging data such as ultrasounds, mammograms, MRIs and PACS information is highly vulnerable to cybersecurity criminals, according to a recent McAfee security report.
Mar 09, 2018 | Imaging Informatics
In a study published in Academic Radiology, researchers used a machine learning radiomic technique to extract quantitative imaging features from digital mammograms. The platform demonstrated the imaging features were associated with breast cancer subtypes.
Mar 01, 2018 | Imaging Informatics
Musculoskeletal (MSK) imaging has increased over the past two decades—and so has its costs to the healthcare system. A recent study in the American Journal of Roentgenology found understanding the unique specialty referral patterns of MSK extremity imaging may help radiology practices optimize and cut unnecessary costs related to the technique.
Feb 20, 2018 | Imaging Informatics
In a world of increasingly personalized care, patients want top treatment with minimal travel. A team of New York researchers created an in-house Google Maps app that determined the quickest route for patients seeking an appointment for interventional radiology (IR) services.
Feb 05, 2018 | Imaging Informatics
During the 2018 Olympic Winter Games, GE Healthcare and the International Olympic Committee (IOC) teamed up on a new diagnostic tool that used imaging to provide individualized care for competing athletes.
Apr 20, 2018 | Imaging Informatics
A team of researchers out of China found the CT-based radiomic signature of primary tumors can be used to quantiatively and noninvasively predict the spread of a common form of lung cancer to lymph nodes.
Apr 18, 2018 | Imaging Informatics
Twitter has become the most widely used social media network by those in the medical community. But imaging providers may not be properly using the platform, according to a study published in the Journal of the American College of Radiology.
Apr 12, 2018 | Imaging Informatics
Radiologist requisitions are the primary means of acquiring clinical information and have been shown to improve diagnosis. But new research suggests the quality of clinical information in these forms is declining.
Apr 09, 2018 | Imaging Informatics
Philips Healthcare and the U.S. Department of Homeland Security's Industrial Control Systems Cyber Emergency Response Team (ICE-CERT) issued security advisories regarding vulnerabilities to Philip's medical imaging management software systems ISite and IntelliSpace PACS.
Deep learning and artificial intelligence (AI) are often associated with identifying nodules and classifying images, but a recent study found convolutional neural networks (CNNs) can be utilized in radiology workflows to determine musculoskeletal MRI protocols.
Mar 29, 2018 | Imaging Informatics
Radiologists are subject to a myriad of interruptions. These frequent disturbances increase reading times and reduce accuracy with potentially negative consequences for both patients and providers, according to a recent Academic Radiology study.