- Did you know 80% to 90% of sonographers experience pain while performing scans at some stage in their career? Check out this Canon Medical Systems video detailing its latest innovations that improve sonographer comfort and help reduce risk of injury.
- It says a lot when a solution works so well for a radiology department that they decide to perform a study to quantify its benefits. In this Imaging Wire Q&A, University Hospital of Zurich’s Thomas Frauenfelder discusses his experience and study on Riverain Technologies ClearRead CT.
- Do your radiologists want faster and less manual access to imaging studies? See how the Indiana Health Information Exchange (IHIE), the largest inter-organizational clinical data repository in the US, cut its imaging study retrieval time by 94% when it adopted Nuance PowerShare.
- See why the time is right for imaging AI-enabled population health in this Hardian Health profile featuring Nanox AI’s Zohar Elhanani.
- This Bayer Radiology case study details how its Certegra P3T Software automates contrast enhanced abdominal CT injection protocols based on patient characteristics and contrast concentration.
- Change Healthcare’s cloud-native, zero-footprint Stratus Imaging PACS is now in clinical use by StatRad, a 90-radiologist teleradiology practice serving hundreds of hospitals across the United States.
- See how GE Healthcare’s new SIGNA Hero 3T MRI is streamlining MR team workloads by automating tasks and producing easier-to-diagnose images.
- Us2.ai’s echocardiography analysis automation solution is being integrated into the EchoNous Kosmos ultrasound platform, creating the most powerful diagnostic “power tool” ever created for the hand-carried POCUS market.
- See how Novarad’s CryptoChart solution allowed Central Ohio Primary Care (COPC, 70 practices, 400 physicians) to make the transition to digital imaging sharing in this Healthcare IT News case study.
- Despite significant interest, there’s still confusion about the value of imaging AI. This Blackford Analysis white paper explores the key cost considerations and ROI factors that radiology groups can use to figure out how to make AI valuable for them.
