- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Monkeys and dogs and donkeys: Oh CT!
A Philips CT scanner at Advocate Hope Children’s Hospital in Chicago has provided a canvas for pop artist Jeff Koons.
A Philips CT scanner at Advocate Hope Children’s Hospital in Chicago has provided a canvas for pop artist Jeff Koons. The monkey decals on the scanner cowling blend into the jungle setting painted on the walls and hallways of the hospital’s CT suite. The artwork, adorned by Koons’ iconic balloon dog, hanging heart, and donkey imagery, was commissioned by RxArt, a nonprofit organization that curates contemporary art installations in hospital settings, and Kiehl’s Since 1851, a New York-based provider of skin and hair care products. The goal is to cheer and sooth young patients who enter the otherwise sterile and potentially scary testing environment.
Can Portable Dual-Energy X-Ray be a Viable Alternative to CT in the ICU?
September 13th 2024The use of a portable dual-energy X-ray detector in the ICU at one community hospital reportedly facilitated a 37.5 percent decrease in chest CT exams in comparison to the previous three months, according to research presented at the American Society of Emergency Radiology (ASER) meeting in Washington, D.C.
New Meta-Analysis Examines MRI Assessment for Treatment of Esophageal Cancer
September 12th 2024Diffusion-weighted MRI provided pooled sensitivity and specificity rates of 82 percent and 81 percent respectively for gauging patient response to concurrent chemoradiotherapy for esophageal cancer, according to new meta-analysis.
Study for Emerging PET/CT Agent Reveals ‘New Standard’ for Detecting Clear Cell Renal Cell Carcinoma
September 11th 2024Results from a multicenter phase 3 trial showed that the PET/CT imaging agent (89Zr)Zr-girentuximab had an 85.5 percent mean sensitivity rate for the diagnosis of clear cell renal cell carcinoma.
Can Radiomics and Autoencoders Enhance Real-Time Ultrasound Detection of Breast Cancer?
September 10th 2024Developed with breast ultrasound data from nearly 1,200 women, a model with mixed radiomic and autoencoder features had a 90 percent AUC for diagnosing breast cancer, according to new research.
