X-Ray

Catch up on the top radiology content of the past week.

Catch up on the top radiology content of the past week.

Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the top radiology content of the past week.

New research suggests the use of an AI software may help rule out pathology on over 50 percent of unremarkable chest X-rays with a 98 percent sensitivity threshold.

At a 90 percent threshold for sensitivity, Lunit’s Insight CXR and the Nexus CXR software from Nexus demonstrated the highest specificity rates for tuberculosis (TB) detection in a patient population with a high prevalence of TB and HIV.

Review the case and test your knowledge to make the correct diagnosis.

While contrast media extravasation is a rare complication, there can be varying degrees of severity. Accordingly, this author reviews possible causes of this complication, prevention principles and pertinent considerations in addressing this complication when it does occur.

Review the case and test your knowledge to make the correct diagnosis.

Catch up on the top radiology content of the past week.

While radiologists interpreted approximately 99 percent of all non-cardiac CT, MRI and nuclear medicine studies in hospital and emergency department settings for Medicare beneficiaries, new research shows significantly less radiologist review of cardiac imaging and office-based imaging.

Out of 315 patients identified by artificial intelligence (AI) as being at high risk for osteoporosis, subsequent screening with dual-energy X-ray absorptiometry (DXA) in a randomized controlled trial revealed new-onset osteoporosis in 237 patients.

Offering a combination of intuitive user-friendly controls and enhanced imaging, the Zenition 90 Motorized C-arm reportedly facilitates workflow efficiencies and bolsters visualization for complex vascular procedures, cardiac interventions, and other clinical procedures.

Catch up on the top radiology content of the past week.

In addition to detecting missed lung nodules on X-rays, the AI-powered Qure.ai lung cancer continuum platform reportedly automates lung nodule measurement on CT scans and facilitates multimodality reporting.

The second-generation version of the VUZE System reportedly offers expanded functionality and incorporation of varied sources of 3D imaging data, including cone-beam CT scans obtained in the OR.

In addition to advanced imaging quality and dose efficiency, the Philips Zenition 30 mobile C-arm device emphasizes personalized user profiles and automated customization to help reduce procedure time.

Examining current trends in brain cancer diagnostics, these authors discuss diagnostic imaging advances, pathways with adaptive radiotherapy and the ongoing quest to provide optimal precision with dosimetry.

A new study shows that GPT-4 may offer comparable error detection rates to those of attendings and radiology residents in reviewing radiology reports, but researchers noted key caveats as well.

Leveraging artificial intelligence, the Rho software assessment of X-rays may allow earlier detection of bone loss.

Review the case and test your knowledge to make the correct diagnosis.

Catch up on the top AI-related news and research in radiology over the past month.

Review the case and test your knowledge to make the correct diagnosis.

Noting the challenges of conservative therapy and limitations of total knee arthroplasty, the targeted minimally invasive geniculate artery embolization, performed by interventional radiologists, may be a viable treatment alternative.

Review the case and test your knowledge to make the correct diagnosis.

With reported increases in tuberculosis cases after the COVID-19 pandemic, the qSpot-TB adjunctive artificial intelligence (AI) device may facilitate improved diagnosis of the disease on chest X-rays.

Employing reconstructed radiographs from 3D hip CT scans, a deep learning model demonstrated a higher concordance index (C index) and higher two- and three-year AUCs than multiple imaging models and three clinical models for predicting subsequent fracture risk in patients with hip fractures.

Catch up on the top AI-related news and research in radiology over the past month.