Subspecialties

Despite pediatric ED imaging capability, race and insurance gaps remain
By Kate Madden Yee
More work is needed to ensure pediatric imaging in the ED addresses both quality and equity of care, according to investigators.
May 21, 2026
Smiling Kids Thumb
MRI-specific AI algorithm reads cardiac scans with up to 99% accuracy
By Kate Madden Yee
The algorithm beat existing general-purpose AI models by up to 35%, researchers reported.
May 21, 2026
Cardiac Mri Adobe Samunella
Human-AI collaboration beats AI alone for identifying PE
By Kate Madden Yee
Study findings highlight the continued central role of radiologists for this indication.
May 20, 2026
Case example of a false-negative AI result. An 85-year-old female presented to the emergency department with dyspnea. Axial 0.625-mm from CT pulmonary angiography examination with contrast (CTPA) images demonstrate a thin, linear right-sided filling defect extending from the right interlobar pulmonary artery (A and B, red arrows) into the right middle lobar artery (B, yellow arrow), consistent with acute pulmonary embolism (PE). The finding was described in the radiology report; however, the AI result was negative for PE. Adjudication was consistent with acute PE.
Maine couple sues radiologist for overlooking warning sign of stroke
By AuntMinnie.com staff writers
The suit claims that nine hours before the stroke, an imaging exam showed a potential clot in a major artery.
May 20, 2026
Brain Stroke
DeepHealth secures FDA clearance, CE marking for neuro, prostate AI
By AuntMinnie.com staff writers
The company has won multiple regulatory clearances for neuro, prostate, and lumbar MRI AI.
May 20, 2026
Ai Hand
MRI-based ML model shows promise in colorectal cancer subtyping
By Amerigo Allegretto
A machine-learning model based on MRI radiomics achieved high performance in predicting colorectal cancer subtypes.
May 19, 2026
Overview of the study design, including data collection, radiomics model construction, and biologic interpretation. (A) The primary cohort for model development and evaluation in the training and internal test sets includes 168 patients with colorectal cancer (CRC) from center 1 (Fudan University Shanghai Cancer Center), whereas external testing was performed using data from 85 patients from centers 2 (Huashan Hospital, Fudan University) and 3 (Zhongshan Hospital, Fudan University). For model interpretation, RNA sequencing (RNA-seq) data from 18 patients with CRC in center 1 and single-cell data from 35 patients from the Gene Expression Omnibus (GEO) database are incorporated. Mismatch repair (MMR) protein expression, obtained from pathologic reports in electronic medical records (EMRs), was used to identify patients with consensus molecular subtype 1 (CMS1) CRC. Tissue microarrays (TMAs) from surgically obtained CRC tissues were analyzed for immunohistochemical staining of caudal-type homeobox 2 (CDX2), 5-hydroxytryptamine receptor 2B (HTR2B), FERM domain containing 6 (FRMD6), and zinc finger E-box binding homeobox 1 (ZEB1), and the results were subsequently entered into an online classification tool that assigned patients to CMS2, 3, or 4 subtypes. (B) Radiomics workflow for CMS4 prediction. Lesions were manually delineated on T2-weighted imaging (T2WI) and contrast-enhanced (CE) T1-weighted imaging (T1WI), followed by radiomics feature extraction. Feature selection and model development were performed in the training set using machine-learning algorithms with fivefold cross-validation for model selection, and the final model was evaluated in the internal and external test sets using receiver operating characteristic (ROC) curve analysis. (C) Transcriptomic interpretation workflow. Using the radiomics-predicted CMS4 classification, bulk RNA sequencing (RNA-seq) data were used to perform differential expression analysis between predicted CMS4 and non-CMS4 groups, followed by pathway enrichment analyses to assess biologic relevance. Public single-cell RNA sequencing data from the Gene Expression Omnibus database were then used for cell-type–level interrogation to support interpretation of the associated pathways.
Cochrane updates 2013 prostate cancer screening review
By Kate Madden Yee
Standard PSA screening has a well-known weakness: it catches many slow-growing cancers that would never have caused harm, Cochrane said.
May 18, 2026
Prostate
Quantum BioPharma reports early results from MS PET imaging study
By AuntMinnie.com staff writers
If validated, the imaging approach could be used to measure how therapies affect myelin preservation and regeneration.
May 18, 2026
Pet Brain
Bracco's ACIST Medical Systems wins FDA clearance for Pro system
By AuntMinnie.com staff writers
The system is the next generation of ACIST's CVi automated contrast delivery technology.
May 18, 2026
Bracco
Philips introduces SmartIQ coronary imaging technology for Azurion
By AuntMinnie.com staff writers
The technology reduces x-ray radiation by more than 50% compared with the lowest dose settings in Philips' ClarityIQ platform.
May 18, 2026
SmartIQ
ISMRM: Quantitative intracranial vessel wall MR clarifies vascular pathology
By Liz Carey
Researchers applied two different types of software.
May 14, 2026
Software analysis shows distribution, contours, and contrast enhancement. (a)Vasculitis lesion showing diffuse concentric enhancement, (b) atherosclerotic plaque showing eccentric wall thickening and less enhancing volume, (c) RCVS showing lower percent wall volume.
SIR supports genicular artery embolization for knee osteoarthritis
By AuntMinnie.com staff writers
Clinical data cites meaningful improvements with GAE.
May 12, 2026
X Ray Knee 400
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