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May 10, 2022
Latest in MRI
Ambient Experience for MRI platform with Disney characters
Philips brings Disney characters to pediatric MRI ambient experience
May 28, 2026
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GE HealthCare, NordicNeuroLab ink software distribution deal
May 27, 2026
A 3D visualization shows the flow speed of fluid across the brain.
AI-powered MRI technique maps brain fluid flow tied to Alzheimer's
May 27, 2026
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AI diagnostic aid helps novice MRI readers, but experts not so much
May 26, 2026
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More in MRI
Philips brings Disney characters to pediatric MRI ambient experience
By AuntMinnie.com staff writers
The integration uses calming lighting, sound, and visual elements alongside Disney content.
May 28, 2026
Ambient Experience for MRI platform with Disney characters
GE HealthCare, NordicNeuroLab ink software distribution deal
By AuntMinnie.com staff writers
GE HealthCare will distribute NordicNeuroLab's nordicMEDiVA and nordicAktiva.
May 27, 2026
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AI-powered MRI technique maps brain fluid flow tied to Alzheimer's
By Kate Madden Yee
A physics-informed AI framework reveals 3D fluid velocity pathways across the entire living brain using standard MRI data.
May 27, 2026
A 3D visualization shows the flow speed of fluid across the brain.
AI diagnostic aid helps novice MRI readers, but experts not so much
By Kate Madden Yee
The findings point to where AI decision support delivers the most clinical value.
May 26, 2026
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American Board of Magnetic Resonance Safety rebrands with new name
By AuntMinnie.com staff writers
The ABMRS has changed its name to reflect the board's expanded global role in MR safety certification.
May 26, 2026
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Hyperfine is expected to join the Russell 3000 and Russell 2000 indexes in June.
May 26, 2026
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Multimodal brain health composites outperform standard AD biomarkers
By Kate Madden Yee
"Reproducible, multimodal composites can capture distinct yet complementary dimensions of brain health," researchers noted.
May 22, 2026
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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.
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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
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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.
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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
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