Industry News: medavis looks at RIS workflow
IT provider medavis is taking radiology information systems to task.
IT provider medavis is taking radiology information systems to task. The company is exhibiting a new system for evaluating workflow as managed by RIS. The system generates valuable key figures for quality control, allowing the user to more easily detect, track down and correct errors. A classification system allows physicians to categorize and evaluate medical reports by medical parameters such as disease severity.
New Analysis Forecasts Substantial Cost Savings with the Use of Photon Counting CT for CCTA
March 8th 2025The use of ultra-high-resolution photon-counting CT in the evaluation of stable chest pain may significantly reduce follow-up tests and invasive coronary angiography (ICA) procedures, possibly resulting in millions in health-care cost savings, according to a cost-effectiveness analysis presented recently at the European Congress of Radiology.
Can Deep Learning Ultra-Fast bpMRI Have an Impact in Prostate Cancer Imaging?
March 3rd 2025A deep learning-enhanced ultra-fast bpMRI protocol offered similar sensitivity for csPCa as mpMRI with an 80 percent reduction in scan time, according to research findings presented at the European Congress of Radiology (ECR) conference.
ECR Mammography Study: Pre-Op CEM Detects 34 Percent More Multifocal Masses than Mammography
February 28th 2025In addition to contrast-enhanced mammography (CEM) demonstrating over a 90 percent detection rate for multifocal masses, researchers found that no significant difference between histological measurements and CEM, according to study findings presented at the European Congress of Radiology.
ECR Study Finds Mixed Results with AI on Breast Ultrasound
March 6th 2024While adjunctive use of AI led to significantly higher specificity and accuracy rates in detecting cancer on breast ultrasound exams in comparison to unassisted reading by breast radiologists, researchers noted that 12 of 13 BI-RADS 3 lesions upgraded by AI were ultimately benign, according to research presented at the European Congress of Radiology.
Can Autonomous AI Help Reduce Prostate MRI Workloads Without Affecting Quality?
March 1st 2024Based on findings from a multicenter study of over 1,600 patients, researchers at the European Congress of Radiology suggest the inclusion of autonomous artificial intelligence (AI) triage could facilitate up to a 75 percent reduction in prostate MRI reading workload.
