Brian Casey[email protected]Image ProcessingRib suppression algorithm enables better chest x-ray imagingMonday, November 26 | 10:30 a.m.-10:40 a.m. | SSC14-01 | Room S403AThe increasing use of digital radiography has given rise to a host of image processing techniques that can improve image quality and reduce dose. In this Monday morning presentation, researchers report on one such algorithm, which suppresses contrast from the ribs to enable the use of a more optimal imaging protocol.November 12, 2012CTCT beats radiography for assessing spondyloarthritisSunday, November 25 | 11:45 a.m.-11:55 a.m. | SSA14-07 | Room E451BCT is better than radiography for assessing the sacroiliac joints in patients with spondyloarthritis, Canadian researchers confirmed, and CT-based criteria should be developed for guiding therapy of these individuals.November 12, 2012UltrasoundGE taps interest in ABUS with U-Systems acquisitionYou know you're onto something when the big boys come calling. GE Healthcare has announced its acquisition of automated breast ultrasound (ABUS) developer U-Systems, a move that highlights the rapid evolution of ABUS from a niche technology into a promising adjunct to screening mammography.November 8, 2012Molecular ImagingThe election and radiology; Facebook faux pas; International Day of RadiologyNovember 7, 2012CTRoad to RSNA preview launches; medical radiation still a hazard; 2013 imaging cutsNovember 5, 2012Practice ManagementGAO attacks self-referral; calling all residents; more ASTRO newsOctober 31, 2012Practice ManagementGAO attacks imaging self-referral, requests pay cut for examsA new report from the U.S. Government Accountability Office (GAO) takes a hard line on physician self-referral of imaging services, detailing more than $100 million in annual unnecessary spending in CT and MRI alone. The report recommends steps to curb the practice, including a pay cut for self-referred imaging studies.October 31, 2012Radiation Oncology/TherapyMassive storm affects East Coast radiology; news from ASTRO; support for breast screeningOctober 29, 2012Editor's NoteMinnies winners; new 2D tomo mode; Oosterwijk on PACS/RISOctober 24, 2012BreastMinnies winners highlight importance of breast imagingMinnies winners, page 3October 23, 2012Previous PagePage 4 of 190Next PageTop StoriesPractice ManagementPatient-friendly radiology reports improve family comprehensionTerminology in radiology reports can be difficult for patients and families to comprehend.CTEarly CTA leads to improved stroke outcomes for patients with BCVIInterventionalMost histotripsy procedures used for metastatic disease treatmentAdministrationImaging turnaround times continued to climb in 2024BreastDBT-based foundational model classifies breast density
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
