Erik L. Ridley[email protected]AINew framework facilitates radiology AI algorithmsHow can artificial intelligence (AI) algorithms best be developed and implemented in radiology? A new framework created by the American College of Radiology's Data Science Institute will show the way, according to an article published online May 5 in the Journal of the American College of Radiology.May 8, 2018CTAI can prescreen chest CT studies for pneumothoraxAn artificial intelligence (AI) algorithm can be highly sensitive for detecting pneumothorax on chest CT images, potentially enabling radiologists to quickly prioritize these life-threatening cases for priority review, according to research from Massachusetts General Hospital and Harvard Medical School.May 6, 2018AIAuntMinnie.com Artificial Intelligence InsiderMay 1, 2018BreastAutomated breast density assessment informs cancer riskCan software that calculates breast density perform as well as a radiologist and help identify a woman's future risk of breast cancer -- in particular, the risk of invasive interval cancers? Yes, it can, according to research published May 1 in the Annals of Internal Medicine.April 30, 2018ISCMS proposes overhaul of meaningful use programThe U.S. Centers for Medicare and Medicaid Services (CMS) has proposed a number of changes to its Inpatient Prospective Payment System and the Long-Term Care Hospital Prospective Payment System for 2019, including renaming and overhauling its meaningful use IT stimulus program.April 24, 2018UltrasoundWill ultrasound and AI become the tricorder of the future?Artificial intelligence (AI) will soon bring many benefits to point-of-care ultrasound (POCUS), and perhaps one day it will enable these systems to fulfill the promise of the legendary tricorder from "Star Trek." But it could also lower the bar in terms of who is able to read POCUS scans -- potentially threatening physicians.April 18, 2018Practice ManagementIs imaging accessibility at risk? | Optimizing lung cancer screening | AI-powered superresolution MRIApril 11, 2018MRIDeep learning performs superresolution MSK MRIA deep-learning algorithm can transform low-resolution, thick-slice knee MR images into high-resolution, thin-slice images -- potentially yielding faster image acquisition, lower costs, and fewer motion artifacts in musculoskeletal MRI, according to research published online in Magnetic Resonance in Medicine.April 10, 2018AINvidia aims to bring imaging AI to the people with ClaraWhile artificial intelligence (AI) is poised to reshape radiology, older imaging systems may be left behind, unable to handle the massive computational workload required to run AI algorithms. But graphics processing unit developer Nvidia hopes to solve this problem with its Clara virtual supercomputing platform.April 9, 2018ISPhilips issues security advisory for PACS softwarePhilips Healthcare and the U.S. Department of Homeland Security's Industrial Control Systems Cyber Emergency Response Team have issued security advisories regarding potential vulnerabilities in the vendor's iSite and IntelliSpace PACS software.April 8, 2018Previous PagePage 100 of 389Next PageTop StoriesCT'Habitat' AI model shows promise for stratifying lung nodule disease risk on LDCTThis type of model has an edge on its 2D and radiomics counterparts, researchers reported.MRICE MRI-based radiomics model captures DEB TACE-induced tumor changesUltrasoundPOCUS performs well in assessing pathologic venous congestionCTMachine learning plus CT helps assess severity of COPDUltrasoundActive thyroid surveillance effective, beneficial for older patients
