Erik L. Ridley[email protected]CTAI finds infarction in stroke patients on unenhanced CTCanadian researchers found that their artificial intelligence (AI) algorithm was able to find and quantitate infarcted brain tissue on baseline CT studies in patients with acute ischemic stroke, potentially helping to improve treatment decisions, according to research published online January 28 in Radiology.January 29, 2020AIAI enables screening of fracture risk from CT scansPatients at risk for osteoporotic fractures can be identified through their routine chest or abdomen CT scans thanks to an artificial intelligence (AI) algorithm tested in Israel, according to research published online January 13 in Nature Medicine.January 26, 2020AIFDA finalizes easier rules for CADe softwareThe U.S. Food and Drug Administration (FDA) has finalized rules that make it easier for developers of computer-aided detection (CADe) software to win regulatory clearance for their products. Certain CADe products can now be classified as class II devices.January 20, 2020AIAI can accurately classify cerebral aneurysm rupture statusAn artificial intelligence (AI) algorithm is able to classify the rupture status of cerebral aneurysms with a promising level of accuracy, even outperforming experienced neurosurgeons, according to research published January 15 in Radiology: Artificial Intelligence.January 16, 2020PACS/VNAUnprotected PACS servers present a security 'disaster'More than 1 billion medical images -- approximately half of which are from U.S. patients -- remain unsecured and accessible using publicly available software, according to new reporting by TechCrunch and Heavy.com in collaboration with German security firm Greenbone Networks. And the problem is only getting worse.January 12, 2020CTAI can differentiate small renal masses on CTAn artificial intelligence (AI) algorithm can accurately differentiate between benign and malignant small solid masses on multiphase contrast-enhanced CT scans, Japanese researchers reported in a study published online January 8 in the American Journal of Roentgenology.January 9, 2020MRIPersonal touch helps with MRI report recommendationsDirect communication by radiologists with referring clinicians can significantly improve compliance with follow-up recommendations contained in musculoskeletal MRI reports, according to research published online December 30 in the American Journal of Roentgenology.January 7, 2020AIAI beats density for predicting breast cancer riskAn artificial intelligence (AI) algorithm that analyzes negative screening mammography exams yielded better predictions for a woman's future risk of breast cancer than risk models based on breast density measurements in a recent study, published online December 17 in Radiology.December 16, 2019MRIAI can accurately predict uterine fibroid embolization outcomesAn artificial intelligence (AI) algorithm's analysis of MRI exams performed prior to uterine fibroid embolization can be more accurate than radiologists in predicting whether the procedure will be successful, according to research presented at the recent RSNA 2019 meeting in Chicago.December 12, 2019UltrasoundTechnologist-performed WBUS is helpful in dense breastsCHICAGO - Handheld whole-breast ultrasound (WBUS) performed by mammography technologists can be a time-efficient method for adjuvant screening of women with dense breasts, according to research presented Wednesday at the 2019 RSNA meeting.December 4, 2019Previous PagePage 65 of 389Next PageTop StoriesUltrasoundPOCUS performs well in assessing pathologic venous congestionPoint-of-care ultrasound (POCUS) showed success in venous excess ultrasound assessment of critically ill patients.CTMachine learning plus CT helps assess severity of COPDUltrasoundActive thyroid surveillance effective, beneficial for older patientsMolecular ImagingFES-PET shows promise staging women with invasive lobular cancerCTStructured CT reporting tool may aid hernia detection after bariatric surgery
