<?xml version="1.0" encoding="utf-8"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9" xmlns:image="http://www.google.com/schemas/sitemap-image/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd http://www.google.com/schemas/sitemap-news/0.9 http://www.google.com/schemas/sitemap-news/0.9/sitemap-news.xsd"><url><loc>https://www.auntminnie.com/clinical-news/interventional/article/15825677/tae-reduces-pain-in-patients-with-chronic-wrist-pain</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-20T19:38:03.000Z</news:publication_date><news:title>TAE reduces pain in patients with chronic wrist pain</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/tae-wrist.EgDsvqIt9r.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>A 44-year-old woman with TFCC injury treated by transcatheter arterial embolization (TAE). a) Right brachial arteriography via common femoral artery access with a 5-Fr catheter demonstrates hyperstaining on the ulnar side of the wrist joint (white circle). b) An ulnar artery branch is superselected with a 1.9-Fr microcatheter, showing hypervascular staining corresponding to the pain site (white arrow). c) Delayed-phase angiography reveals early venous drainage (white arrow) adjacent to the hyperstaining, a finding often observed in TAE and considered an additional marker for embolization. d) Final angiography after injection of 0.5 mL quick-soluble gelatin sponge particles (QS-GSPs) demonstrates resolution of the hyperstaining (white circle). The VAS pain score improved from 7 at baseline to 1 at six months.</image:caption></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/ct/article/15825670/humanai-collaboration-beats-ai-alone-for-identifying-pe</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-20T19:10:53.000Z</news:publication_date><news:title>Human-AI collaboration beats AI alone for identifying PE</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/image.DC40ahQAvB.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>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.</image:caption></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/womens-imaging/article/15825649/ai-model-predicts-10year-breast-cancer-risk</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-20T18:02:00.000Z</news:publication_date><news:title>AI model predicts 10-year breast cancer risk</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/breast-cancer3-400.GLDkjZAgBe.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/breast-cancer3.KmGAU9vQj9.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/digital-x-ray/article/15825594/ai-devices-vary-widely-in-lung-cancer-detection</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-19T20:36:36.000Z</news:publication_date><news:title>AI devices vary widely in lung cancer detection</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ai-head-to-head.fvvoLf21IB.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Cropped secondary capture examples. These are illustrative and not intended to imply superiority or inferiority of any device. (A) Posteroanterior radiograph in a 46-year-old female patient. The device correctly identified a right lower lobe nodule projected below the right hemidiaphragm and hilar lymphadenopathy. (B) Posteroanterior radiograph in an 86-year-old female patient with a classic Golden S sign highly suggestive of cancer. Three devices did not identify any findings. (C) The output from one device for the same radiograph as in B. The device placed a contour around the area of abnormality but mislabeled it as segmental collapse, and there are no other elements in the output to raise suspicion of cancer. (D) Posteroanterior radiograph in a 60-year-old male patient -- a case of confirmed lung cancer that was not deemed visible in retrospect. The device identified multiple false-positive abnormalities. (E) Posteroanterior radiograph in a 77-year-old female patient with two right lower lobe nodules. The device mislabeled the abnormality as infection -- a diagnostic term that could incorrectly influence clinical management. (F) Posteroanterior radiograph in a 77-year-old female patient with a right hilar tumor. Most of the lungs have been labeled by the device, with excessive overlap of the abnormality that pragmatically represents an incorrect result. All annotations shown were produced by the devices. LL = lung lesion, LO = lung opacity, PO = pleural other, TBC = tuberculosis.</image:caption></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/mri/article/15825566/mribased-ml-model-shows-promise-in-colorectal-cancer-subtyping</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-19T18:19:16.000Z</news:publication_date><news:title>MRI-based ML model shows promise in colorectal cancer subtyping</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/2026-05-19-radiology-mri-radiomics-ml-colorectal.haRgWC51qv.webp?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>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.</image:caption></image:image></url><url><loc>https://www.auntminnie.com/resources/conference/ismrm/2026/article/15825547/ismrm-showcast-roundup-ubuntu-the-meetings-theme-the-state-of-mri-in-africa-using-ai-fmri</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-19T17:24:54.000Z</news:publication_date><news:title>ISMRM ShowCast Roundup: &apos;Ubuntu&apos;, the meeting&apos;s theme | The state of MRI in Africa | Using AI, fMRI</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-sign.ioQcNIalzS.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/practice-management/article/15825459/almost-half-of-families-face-financial-hardship-from-kids-medical-imaging</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-19T13:47:07.000Z</news:publication_date><news:title>Almost half of families face financial hardship from kids&apos; scans</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/mri-scanner-kid.DyWggKJ39O.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/digital-x-ray/article/15825419/combined-fluoride-and-lead-exposure-reduces-bone-health-in-youth</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-18T20:17:35.000Z</news:publication_date><news:title>Combined fluoride and lead exposure reduces bone health in youth</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/flourine.bcWNEGtXtl.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>A graphical abstract of the study.</image:caption></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/ultrasound/article/15825430/medical-societies-applaud-proposed-ceus-training-recommendations</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-18T20:07:49.000Z</news:publication_date><news:title>Medical societies applaud proposed CEUS training recommendations</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/contrast-injector-400.E82YSZRHsd.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/mri/article/15825432/cochrane-prostate-screening-combining-mri-blood-tests-shows-promise</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-18T19:40:19.000Z</news:publication_date><news:title>Cochrane updates 2013 prostate cancer screening review</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/prostate.lW5NItecwN.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/mri/article/15824900/ismrm-fmri-flags-brain-network-failures-in-fibromyalgia-long-covid</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-18T13:12:29.000Z</news:publication_date><news:title>ISMRM: fMRI flags brain network failures in fibromyalgia, long COVID</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/figure-2.hDKClB7LmV.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Study design: During lab visits, participants filled in symptoms-related questionnaires, followed by Maximal Voluntary Contraction estimation. The MRI protocol comprised a T1 structural scan followed by a functional session (whole-brain blood oxygen level dependent, BOLD, measures) divided into 120 seconds of rest, 120 seconds of knee extension, and 120 seconds of recovery.</image:caption></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-15-may-thumb.HflGnhRBjj.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-thumbnail.artmQS7Rjr.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/muscle-trigger-points-sized.AvxEaoQh0y.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/resources/conference/ismrm/2026/article/15825326/ismrm-petmri-highly-effective-in-patients-with-atherosclerosis</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-15T20:54:25.000Z</news:publication_date><news:title>ISMRM: PET/MRI highly effective in patients with atherosclerosis</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/pet-mri-plaques.WW5MYTp9Fn.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Multimodality imaging (MRI, PET, and fused PET/MRI) of carotid artery plaques in asymptomatic and symptomatic subjects, illustrating distinct features of surface ulceration, plaque enhancement, metabolic uptake, and SUVmax.</image:caption></image:image></url><url><loc>https://www.auntminnie.com/editors-note/article/15825336/week-in-review-ismrm-2026-coverage-ultrasound-minniecast-soccer-and-bone-health</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-15T20:37:38.000Z</news:publication_date><news:title>Week in Review: ISMRM 2026 coverage | Ultrasound MinnieCast | Soccer and bone health</news:title></news:news></url><url><loc>https://www.auntminnie.com/resources/conference/ismrm/2026/article/15825292/researchers-eye-fibrosis-patterns-in-the-bodys-organs</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-15T18:11:06.000Z</news:publication_date><news:title>ISMRM: Researchers eye fibrosis patterns in the body&apos;s organs</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/fibrotic-buckets-disease-inclusion-ukbiobank-population-ismrm2026.Z4ey7TMGcJ.png?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/resources/conference/ismrm/2026/article/15825241/ismrm-petmriguided-treatment-reduces-low-back-pain</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-15T13:30:00.000Z</news:publication_date><news:title>ISMRM: PET/MRI-guided treatment reduces low back pain</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/back-pain.mJ3HFiQjzC.jpg?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>A 70-year-old female patient with chronic low back pain. History of radicular syndrome which led to targeted nerve block with positive effect. However, lower back pain persisted. FDG-PET/MRI showed increased FDG uptake in a disc herniation at L5-S1 (SUVmax 1.6) convincing the treating physician to proceed to discectomy. After discectomy, the patient is now mostly pain free.</image:caption></image:image></url><url><loc>https://www.auntminnie.com/resources/conference/ismrm/2026/article/15824724/ismrm-mribased-ai-predicts-organ-aging-before-disease-signs-emerge</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-15T13:00:00.000Z</news:publication_date><news:title>ISMRM: MRI-based AI predicts organ aging before disease signs emerge</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/lifestyle.CusyX1eJpm.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Predicted age gaps (= predicted age - chronological age) of the brain and heart across chronological age for a healthy test set (blue, upper row) and in comparison with a diseased subcohort (orange, lower row). Diseased subgroups are defined per organ (brain: patients developing Alzheimer&amp;apos;s disease; heart: patients developing myocardial infarction).</image:caption></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/capetown-aerial-view-thumb.E2VlzVdop3.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-sign.Q1irMBN9a3.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-thumbnail.jJ9H4ABcCj.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/resources/conference/ismrm/2026/article/15824045/ismrm-fmri-reveals-brain-differences-tied-to-psychological-resilience</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-15T13:00:00.000Z</news:publication_date><news:title>ISMRM: fMRI reveals brain differences tied to psychological resilience</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/capetown-aerial-view-thumb.t5jEHnjbb3.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/figure-5.KaXJJAwmC1.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>SBC group-level analysis results showing a 3D glass-brain visualization of clusters identified via GLM analysis (top row within subplots) and the effect sizes (beta values) of IBD and HC within the identified clusters (bottom row, right corner). Differences in connectivity are shown for the precuneus as the seed region.</image:caption></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-thumbnail.Nko44R6lYB.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/clinical-news/mri/article/15823704/ismrm-brain-activity-changes-birth-trauma-linked-to-postpartum-ptsd</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-14T17:54:00.000Z</news:publication_date><news:title>ISMRM: Brain activity changes, birth trauma linked to postpartum PTSD</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/birth-trauma.okOhDwwoAI.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>The PPD group showed significant increased VMHC in the dorsolateral prefrontal cortex (DLPFC), precentral gyrus (PreCG) and parietal lobule (PL) (FDR correction q-value &amp;lt; 0.005).</image:caption></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/figure-2.5GVAs46vS0.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Schematic diagram of self-developed internal tocodynamometry machine.</image:caption></image:image></url><url><loc>https://www.auntminnie.com/resources/conference/ismrm/2026/article/15825186/ismrm-quantitative-intracranial-vessel-wall-mr-clarifies-vascular-pathology</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-14T17:53:39.000Z</news:publication_date><news:title>ISMRM: Quantitative intracranial vessel wall MR clarifies vascular pathology</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm2026-balu-quantitative-features-ivw-mri.5t0jRscRVL.png?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm2026-intracranial-vessel-wall-imaging-at-university-of-washington.KCxo3PuDxa.png?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-in-cape-town-2026-logo-complete.MEqNMpCVlo.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/software-analysis-depicts-distribution-ismrm2026.lD6a0bYRsZ.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Software analysis depicts distribution.</image:caption></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/software-analysis-vessel-wall-mr-ismrm2026.J6QqRIBt9F.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>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.</image:caption></image:image></url><url><loc>https://www.auntminnie.com/resources/conference/ismrm/2026/article/15823975/ismrm-brain-activity-changes-birth-trauma-linked-in-postpartum-ptsd</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-14T15:00:00.000Z</news:publication_date><news:title>ISMRM: Brain activity changes, birth trauma linked in postpartum PTSD</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/capetown.nSgEvbkKz4.avif?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/birth-trauma.1suNrN4lhm.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>The PPD group showed significant increased VMHC in the dorsolateral prefrontal cortex (DLPFC), precentral gyrus (PreCG) and parietal lobule (PL) (FDR correction q-value &amp;lt; 0.005).</image:caption></image:image></url><url><loc>https://www.auntminnie.com/home/article/15825149/ismrm-insulin-resistance-not-hyperglycemia-stresses-the-aging-brain</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-14T14:05:56.000Z</news:publication_date><news:title>ISMRM: Insulin resistance, not hyperglycemia, stresses the aging brain</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-sign.ltAh42ZUpi.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-thumbnail.fzvsIcSkl5.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/resources/conference/ismrm/2026/article/15825148/ismrm-mrf-may-predict-early-breast-cancer-treatment-response</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-14T13:52:07.000Z</news:publication_date><news:title>ISMRM: MRF may predict early breast cancer treatment response</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/screenshot-2026-05-14-035513.KqJcQZJLEP.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Representative dynamic contrast enhanced (DCE)-MRI and MRF T1 and T2 maps obtained from a 52-year-old responder with invasive ductal carcinoma scanned at three time points. The DCE images acquired at both the baseline and third MRF scan are presented. The mean and standard deviation of the quantitative T1 and T2 values extracted from the region of interest analysis are shown at the bottom of the maps.</image:caption></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-graphic-sign.6ZJlqUHCB8.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/ismrm-thumbnail.sNGayn1mba.jpg?auto=format%252Ccompress&amp;q=70</image:loc></image:image></url><url><loc>https://www.auntminnie.com/resources/conference/ismrm/2026/article/15825114/ismrm-researchers-highlight-advancements-mri-foundation-models</loc><news:news><news:publication><news:name>AuntMinnie</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-05-14T13:00:00.000Z</news:publication_date><news:title>ISMRM: Researchers highlight advancements in MRI foundation models</news:title></news:news><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/omnimri-reporting-context-liu-ismrm2026.RVPZCHk6z1.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>OmniMRI in the context of reporting.</image:caption></image:image><image:image><image:loc>https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/05/latent-space-representation-cardiac-rueckert-ismrm2026.2buLOIIcpu.png?auto=format%252Ccompress&amp;q=70</image:loc><image:caption>Latent space representation.</image:caption></image:image></url></urlset>