The 2026 Chinese lung cancer guideline adds AI and opportunistic screening in low-dose CT, expands molecular testing, and updates treatment regimens for NSCLC, including perioperative, consolidation immunotherapy, and targeted therapy for EGFR, ALK, KRAS, HER2, and MET alteratio…
On 76 test cases, the AI framework achieved Cobb angle MAE 2.4°, Lenke curve type accuracy 0.895, and reduced review time from 8.2 to 1.5 min/case.
An AI model (EAGLE) analyzing noncontrast chest CT achieved 90.0% sensitivity for esophageal cancer and 98.5% specificity in external multicenter testing (11,466 patients), and 99.94% specificity in low-dose screening. Could enable opportunistic esophageal cancer screening.
PSAD remained below 0.11 ng/mL² across all ages in 1037 healthy German men, contrasting with continuously rising PSA. 95th percentile reference: PV 51.39 mL, PSA 2.79 ng/mL, PSAD 0.071 ng/mL².
RSNA 2026 Gold Medalist Rosado de Christenson
Medicare lowered work values for 52% of interventional radiology codes and 28% of diagnostic radiology codes compared with radiology societies' initial asks per JAMA Network Open; diagnostic radiology median cut 17%.
<![CDATA[Is FAPI PET More Advantageous Than CECT for Detecting Peritoneal Carcinomatosis in Patients with Ovarian Cancer?]]>
25 Years On: Where Is Al-Qaeda Now?
ACR Addresses Site-Neutral Payment in HOPPS Comments
FDA Awards Breakthrough Status to Hypoxia Tracer for HPV+ Oropharyngeal Cancer
A tertiary imaging department embedded consumer engagement into workplace education and CPD through storytelling, co-design, and governance. Consumer storytelling and structured engagement are feasible, low-resource strategies that may promote empathy and patient-centred practic…
A narrative review highlights underrecognized barriers to effective radiologist-AI teamwork: cognitive biases like automation bias, AI uncertainty framing, and skill decay, plus the design of AI user interfaces.
Image Quality in the Era of Artificial Intelligence: Understanding the Limitations of AI-based Image Reconstruction and Postprocessing
Green Radiology: Success Requires Collective Action.
PSMA PET/CT May Play a Role in Prostate Cancer Diagnosis in Patients With Equivocal Results on MRI.
Beyond a Pretty Image: Taking Abdominal Photon-Counting CT to the Next Stage.
Artificial Intelligence and the Future of Personalized Breast Cancer Risk Assessment.
Low-keV Reconstructions, No Extra Scan: Photon-Counting CT's Case for Bladder Cancer Local Staging.
From Wellness Initiatives to Workplace Solutions.
Lessons to Be Learned From Missed Lung Nodules.
The Nodule We Did Not See: Learning to Look Differently.
The Bureaucracy Will Not Automate Itself: Why Physicians Should Lead the Inauguration of Artificial Intelligence in Healthcare Administration.
Training Corpus Composition Independently Affects Positive and Negative Guidance in Artificial Intelligence-Generated Chest CT Impressions: A Dose-Response Study.
How to Turn Clinical Intuition Into Impactful Science.
Crossing Borders, Closing Gaps: The International Medical Graduate Path in Radiology.
The Prostate Imaging Quality (PI-QUAL) system provides a standardized framework to assess prostate MRI diagnostic adequacy. A new review outlines a stepwise implementation approach including multidisciplinary training, retrospective audits, protocol optimization, structured repo…
AI Slop in Radiology: Cutting Through the Clutter.
Intracranial MR vessel wall imaging is underutilized due to barriers in technical implementation, education, workflow, and evidence. Broader adoption requires standardized acquisition, coordinated education, workflow integration, and multicenter studies demonstrating patient ben…
Radiologists reading MRI for anti-amyloid Alzheimer therapy should recognize gray-zone amyloid-related imaging abnormality (ARIA) findings—subtle FLAIR signal, microhemorrhages, overlapping edema/hemorrhage—and technical pitfalls to avoid treatment-affecting misclassification.
Adrenal Vein Sampling: Changes in Lateralization After Procedural Sedation With Midazolam.
AI in breast ultrasound for pregnant and lactating patients: opportunities and real-world challenges.
AI tool (ChatGPT-4o) with >91% precision/recall identified resident pathology gaps; supplemental teaching cases significantly increased unique important pathologies encountered in abdominal, MSK, neuro, peds, and thoracic imaging (all p<0.05) without significantly reducing live…
A combined MRI radiomics-habitat-clinical model predicted IDH mutation in gliomas with AUC 0.952 in training and 0.867-0.922 across three external test sets, with habitat-derived features being most influential.
AI shows high performance in radiology for cancer lesion detection and segmentation, and aids therapy response prediction. Future: explainable AI, digital twins.
