AI tools for postoperative radiographs after reverse total shoulder arthroplasty are most clinically ready for implant identification and automated glenosphere orientation measurement. Detection of scapular notching, loosening, and stress fractures remains exploratory. The key b…
AdaptSeg, using cross-fraction priors, boosted abdominal OAR segmentation mean DSC by 4.1% (HD95 −43%, ASSD −39%) vs. best single-fraction method, with inference <1.6s—fast enough for online MR-guided adaptive radiotherapy.
Erratum to “Radiomics features of FDG PET images predict ApoE4” [Eur. J. Radiol. Artif. Intell. 2 (2025), 100009]
A 3D generative AI model synthesized FDG-PET from T1-weighted MRI and arterial spin labeling in Alzheimer's disease, achieving >93% structural similarity to real PET and generalizing to an independent external cohort.
Test-set composition and the interpretation of biopsy reduction in AI-guided breast MRI
In 206 participants followed up to 10 years with 791 MRI scans, higher cumulative depression severity predicted steeper hippocampal (ηp2=0.261) and dlPFC (ηp2=0.216) gray matter loss, while diagnosis alone showed no differential change.
FDA 510(k) clearance for Siemens’ MAGNETOM Free.Max and Free.Star MRI systems, classified under radiology product code LNH.
Eizo's RadiForce MX247W diagnostic monitor received FDA 510(k) clearance for radiology image interpretation. It is classified under product code PGY for diagnostic displays.
A diffusion model (D3Recovery) for inter-crystal scatter recovery in Prism-PET achieved 70.1% crystal identification accuracy for ICS events, reduced localization error from 2.18 mm to 0.99 mm, and improved DOI resolution to 3.6 mm FWHM. Image quality and uniformity also improve…
Patients in the most disadvantaged neighborhoods had brain age gaps 2.72–3.02 years higher, lower total brain volume, and more white matter hyperintensities on brain MRI, in a study of 2826 patients.
Brain Health and Neighborhood: Is Disadvantage Hard Wired?
Helical 3D DSA enabled single-injection whole-head-and-neck angiography (aortic arch to vertex) in a first human case, with 419.4 mm coverage in 7.6 sec, 11 lp/cm resolution, and 2.57% stenosis measurement error vs conventional DSA.
Generative Pretrained Transformer (GPT)-5-Thinking matched subspecialist top-1 accuracy in diagnosing orbital (76.7% vs 78.3%, P=.64) and head-and-neck tumors (67.5% vs 68.0%, P=.92). Generalist accuracy rose from 61.4% to 70.3% for orbital and 47.0% to 61.0% for head-and-neck t…
Bone Changes in Desmoplastic Fibroma of Bone.
From Opportunistic Chest CT to Predictive Radiology in MESA: An Early Career Perspective.
Muscle and Bone Health: One Step Closer to Understanding the Link between Risk Identification and Prevention.
A scoping review of 29 studies on AI in radiology education found 86% reported positive or improved outcomes. Skill development was most studied (55.2%), then performance (27.6%) and engagement (17.2%). Generative AI showed promise but raised reliability, bias, and ethics concer…
Review of agentic AI in radiology: GPT-4 catches 82.7% of report errors, matching humans; intelligent triage cut turnaround time ≤43.7%. But evidence is single-center, retrospective — prospective validation lacking.
A CT deep-learning model combining U-Net segmentation and clinical features distinguished tuberculous from malignant pleural effusion with test-set area under the receiver operating characteristic curve (AUC) 0.934 (95% CI 0.8733-0.9955), sensitivity 0.875, specificity 0.900.
In 1,072 adults having health-exam chest CT, higher atherogenic index of plasma (OR 1.38, 95% CI 1.16-1.64) and systemic inflammation response index (OR 1.37, 1.14-1.64) were independently associated with pulmonary nodules; adding indices did not significantly improve AUC (0.77…
Tools and Architectures for Agentic Systems in Clinical AI and Radiology
A self-supervised graph contrast model for functional brain networks improved major depressive disorder identification accuracy by 3% and 5% at two sites versus prior state of the art. Adapted Grad-CAM flagged key frontal, limbic, striatal, thalamic, and insular regions.
Danish guideline: magnetic resonance imaging with magnetic resonance cholangiopancreatography is primary imaging for pancreatic intraductal papillary mucinous neoplasms; surgery for cysts >30 mm or main/mixed-type high-risk features; stop surveillance in stable older patients.
A four-tier imaging-derived extranodal extension (iENE) grading system for nasopharyngeal carcinoma on CT/MRI had excellent interrater reliability (ICC 0.87) and predicted survival: grade 3 vs 0 OS hazard ratio 3.30 (P<.001).
Five years after COVID-19 pneumonia, 35.6% of survivors had residual CT lesions and 25.5% had abnormal diffusing capacity, with no change in symptoms, function, or CT findings between 2 and 5 years.
Diffuse Pulmonary Meningotheliomatosis.
Lower thoracic bone mineral density on noncontrast chest CT was associated with faster cognitive decline (β -0.025 SD/year, P=.002) and regional white matter injury; diabetes amplified white matter hyperintensity progression.
Cross-Cohort Reliability and Failure Attribution in AI-Based Breast DCE-MRI Tumor Segmentation
In a Swedish mammography cohort, Transpara Detection and Risk models achieved AUCs of 0.92 for detection and 0.81 for short-term risk, each performing best in their intended settings.
Comparison of Artificial Intelligence Detection and Short-Term Breast Cancer Risk Models within and beyond Their Intended Use in Mammography Screening