Molly Fausone is a third-year medical student at the University of Michigan—she's also paralyzed from the chest down. Despite her physical limits, a new device allows her to perform full-body patient exams with limited physical contact, according to a University of Michigan press release.
A misconfigured security setting on a radiology interface at Middletown Medical, a multi-specialty physicians group in New York, led to a security breach exposing patient data, including radiology images, reports and Social Security numbers, according to HIPPA Journal.
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.
Medical imaging devices require large amounts of energy, and that costs money. A recent blog post by the Association for Medical Imaging Management (AHRA) examined what leaders need to know about how they are billed for energy and what facilities can do to cut costs.
According to a study published online March 30 in the Journal of the American College of Radiology, CESM may be easier to implement into clinical workflow by decreasing equipment and patient setup times related to contrast administration.
Radiology providers may soon be able to educate patients in the waiting room with the recent launch of Radiology TV, a subscription-based video content service for medical imaging centers, according to press release published April 10.
A new study led by researchers at the Perelman School of Medicine at the University of Pennsylvania found the longer patients with positive cancer screening results wait for diagnostic testing, the worse their outcome.
Radiology staffing shortages are hitting Waikato Hospital in New Zealand. Its workforce problem led a department of health board executive to label the unit as “vulnerable” and has prompted the hospital to look for imaging specialist overseas, according to an April 5 article in Stuff.
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.
Radiopharmaceutical dosimetry (RD) is an integral part of nuclear imaging and therapy, but current standards for documenting and reporting compound travel patterns inside the human body—biodistribution—in dosimetry-related studies do not exist.
Stanford pediatric radiologist Heike Daldrup-Link, MD, believes radiology has a diversity problem and is spearheading a long-term approach within the university’s own department and across the entire field.
Eight members of the Association of University Radiologists Radiology Research Alliance Task Force on Deep Learning describe a radiologist-friendly overview examining past, present and future applications and how the field might benefit from embracing deep learning.
Two students from Misericordia University in northeast Pennsylvania have been selected to represent the state at the 2018 American Society of Radiologic Technologists (ASRT) Student Leadership Development Program in Las Vegas.
A group of U.S. researchers created a natural language processing (NLP) system which outperformed traditional rule-based methods in identifying lumbar spine findings, according to a study published online in Academic Radiology.
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.
The variables involved in minimizing radiation exposure during CT imaging are many—but simply placing a patient off-center can result in a surface dose increase of 12 to 49 percent and negatively impact image quality.