Journal Club ❯ July 2026
- 6 Ways Leaders Harness Stress
- A bibliometric analysis of the 100 most cited radiology papers on pancreatic diseases (1990-Present)
- A clinician-centric intelligent method towards reliable pancreatic cancer vascular invasion assessment: a retrospective, multi-centre study
- A CT-based deep learning model to differentiate between benign and malignant adrenal lesions
- A Licensure Framework for Autonomous Clinical AI
- A narrowing window to understand AI
- A Novel Radiomics-Integrated Panel for Preoperative Stratification of Pancreatic Neuroendocrine Tumors (PNETs)
- A Simple yet Effective Data Scaling Strategy for Semi-Supervised Medical Image Segmentation
- A Typology of Generative Health Care Artificial Intelligence - Definitions and Policy Implications
- Addressing Radiologist Attrition: The Need for Nimble Work-Life, Workflow, and Workforce Deployment Solutions
- Adrenal lesions in young adults: variability in radiology reporting and implications for clinical evaluation
- Advertising in AI-Powered Clinical Decision Support Tools
- AI for screening in healthcare: promise and challenges
- AI medical device post-market surveillance regulations: consensus recommendations by the European Society of Radiology
- AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence
- AI-Enabled Precision-Education Systems - Transforming Lifelong Learning in Medicine
- Aligning AI with human Judgment: Ethical and technical Challenges in radiology
- An accurate, efficient, and accessible AI-powered solution for wildlife re-identification in conservation
- Aortoenteric fistulas in the emergency setting: CT findings and diagnostic pitfalls - a pictorial review
- Aortoiliac and superior mesenteric artery narrowing and calcification in Singleton Merten syndrome
- APC-rearranged solid pseudopapillary neoplasm-pancreatic neuroendocrine tumor collision tumor: a molecularly resolved case report
- Artificial Intelligence and Medical Imaging: A Review of the Application of Vascular Cognitive Impairment
- Artificial intelligence for early detection of pancreatic cancer: pre-diagnostic detection across imaging, biomarkers, and EHRs: a systematic review
- Artificial intelligence in prostate cancer imaging: A mini-review of current applications and future directions
- Artificial Intelligence Is Not the End of the Physician
- Artificial intelligence-driven early screening and diagnosis of pancreatic cancer: technical innovations, clinical applications, and precision medicine strategies
- ASO Visual Abstract: Decision Modeling to Guide Management of Pancreatic IPMNs: Immediate Surgery or Initial Surveillance?
- Assessment of Short-Answer Questions by ChatGPT in a Medical School Course
- Augmenting CT evaluation of primary small bowel malignancies: The role of cinematic rendering
- Automated Delineation of Couinaud Segments at CT for Future Liver Remnant Volumetry
- Beyond handcrafted radiomics in oncologic imaging: Innovations in deep, explainable, multi-site and multi-omics radiomics approaches
- Beyond Imaging: Integrated Clinical, Endocrine, and Molecular Risk Stratification in Pancreatic Cystic Lesions: A Literature Review of Current Evidence
- Beyond the Baby Blues: Transforming Maternal Mental Health
- Beyond the Six-Week Rule: Contemporary Insights Into Pancreatic Pseudocyst
- Big Tech's Looming Capability Crisis
- Bridging the gap: evaluation of the impact of a structured pre-professional medical education gap year on medical career pathway, competency development, and preparedness for professional school
- Cardiac CT in the Diagnosis and Management of Coronary Artery Fistulae
- Cinematic rendering in CT angiography: a pictorial review of clinical applications
- Cinematic rendering in pancreatic imaging: CT features and malignancy indicators of mucinous cystic neoplasms
- Cinematic rendering in traumatic musculoskeletal injuries of the lower extremity: a pictorial review
- Cinematic rendering-enhanced computed tomography of right intracardiac thrombi: A case report
- Clinical benefits and current challenges of photon-counting detector CT in vascular imaging
- Clinical Implementation of AI for Pulmonary Embolism Detection in over 30 000 CT Pulmonary Angiography Examinations
- Companies Are Using AI for Efficiency. They Should Use It to Grow.
- CT of spontaneous atraumatic splenic rupture: etiologies and imaging findings
- CT-based Opportunistic Screening for Adding Clinical Value: How I Do It
- Daraxonrasib or Chemotherapy in Previously Treated Metastatic Pancreatic Cancer
- Development and Validation of a Parsimonious Risk Stratification Model for Pancreatic Cancer
- Diagnostic and Imaging Approaches to Chest Wall Lesions
- Diagnostic Codes in AI Prediction Models and Label Leakage of Same-Admission Clinical Outcomes
- Diagnostic Implications of Multi-Cancer Early Detection Testing in the Investigation of Cancer Symptoms: An Exploratory Retrospective Analysis of the SYMPLIFY Study
- Diagnostic performance of commercial AI systems versus participating radiologists for pulmonary nodule detection in routine clinical practice
- Early and delayed post-cesarean complications: an imaging review
- Editorial: From Pixels to Pathology: Can Radiomics Replace the Needle in Pancreatic Neuroendocrine Tumors?
- Embracing Modern Software Development Practices in the AI Era
- Emphysematous cystitis: imaging patterns and diagnostic approach on CT
- Evaluating the diagnostic performance of 3D radiographs in emergency department extremity imaging: an early comparative study
- Evaluating the role of the main pancreatic duct in intraductal papillary mucinous neoplasm grading: A multi-structure radiomics-based machine learning approach
- Evaluation of Human Factors-Related Risks in AI-Enabled Medical Devices - A Practical Guide
- Evidence-based approach to the diagnosis, management and surveillance of pancreatic cystic lesions: from the guidelines to the clinical practice
- Factors Affecting Contrast Enhancement on CT Images
- FA-UNext: A Feedback Attention-based MLP Network for Medical Image Segmentation
- Feasibility of Using the Apple Vision Pro for Diagnostic Radiology: User Experience and Perceived Clinical Utility
- From Bench to Bedside: The Path Toward Real-World Translation for Artificial Intelligence in Pancreatic Cancer Detection
- From common to rare: imaging spectrum of gastric malignancies
- From Flexner to artificial intelligence: one hundred years of Academic Medicine
- Gastrointestinal oncologic emergencies: a radiologists' guide
- Gen AI Could Fix Performance Reviews - or Make Them Even Worse
- Global trends and emerging frontiers of large language models in cancer research
- Grading LLMs on the Ability to Grade
- Guideline Machines
- Help Employees Get Better - Not Just Faster - with AI
- How Agentic AI Supercharges Startups and Threatens Incumbents
- How C-Suite and Board Roles Are Being Reshaped Around AI
- How Elite Sports Coaches Make High-Pressure Decisions
- How People Are Really Using AI in 2026
- How the Best Leaders Respond to Rule Breaking
- Imaging of non-ductal pancreatic neoplasms
- Increasing-Yet Varying-Radiologist Workforce Attrition Across Subspecialties
- International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs
- Irreplaceable: Five Enduring Roles of the Physician in the AI Era
- Is Artificial Intelligence-Powered Coronary Calcium Scoring Ready for Prime Time?
- It's Hard to Use AI as a Team. These 3 Practices Can Help.
- KRAS and Beyond: Emerging Targeted and Molecularly Stratified Strategies in Pancreatic Ductal Adenocarcinoma
- Large Language Models in Informed Consent - Opportunities, Evidence, and Challenges
- Limits of Artificial Intelligence Models for Skin Cancer Diagnosis in Realistic Settings
- LLM-Assisted Reanalysis of Unsolved Rare Disease Genomes Increases Diagnostic Yield
- Long-term survival with multidisciplinary treatment including local and systemic treatment for germline BRCA2-positive pancreatic acinar cell carcinoma
- Machine learning and artificial intelligence in liquid biopsy-based early detection of pancreatic cancer: a scoping review
- Making the Leap from Corporate Leader to PE-Backed CEO
- Managers Are Struggling to Keep Up with the AI Productivity Boom
- Medicine as an Information Industry in the Age of Language Models
- MEDS - An Emerging Data Standard and Ecosystem for Health AI Research
- Multimodal Artificial Intelligence Using Endoscopic USG, CT, and MRI to Differentiate Between Serous and Mucinous Cystic Neoplasms
- Multimodal foundation models exploit text to make medical image predictions
- Multiphase enhanced computed tomography features captured by delta radiomics reveal prognosis and tumor heterogeneity in patients with hepatocellular carcinoma treated with transarterial chemoembolization
- Mycobacterium genavense infection of the adrenal gland - A case report
- Noncontrast Acquisition in CT Urography Protocols: Counterpoint-Why It Remains Essential
- Noncontrast Acquisition in CT Urography Protocols: Point-No Longer Necessary in the Age of Dual-Energy and Photon-Counting CT
- Operationalization of Artificial Intelligence to Assist in Surgical Discharge: A Feasibility Case Study
- Overdiagnosis in renal cancer: the hidden consequence of modern imaging
- Pancreatic Cancer Risk in Patients With Low-Risk Cystic Lesions
- Pancreatic Cancer Risk Stratification Across Diabetes Stages: Development and Internal Validation of a Machine Learning Model
- Pancreatic Cancer Screening and Early Detection: Current Strategies and Emerging Innovations in Imaging
- Pancreatic Cancer: Genetics, Screening, Prevention, and Treatment
- Pancreatic Cystic Lesions and Malignancy: Assessment, Guidelines, and the Field Defect
- Pancreatic Cystic Lesions in the Older Patient: A Review of Clinical Guidelines and Management
- Path beyond the blind end-unravel the imaging spectrum of appendiceal pathologies
- Performance of Large Language Models on Radiology Residency In-Training Examination Questions
- Polygenic scores for risk of pancreatic ductal adenocarcinoma: evaluation of novel and published models
- Predicting strangulated small bowel obstruction: how the combination of CT findings with clinical and laboratory parameters improves diagnostic accuracy
- Primary Care as a Public Utility: The Case for a Common Fund
- Privacy Considerations of Artificial Intelligence Scribes
- Prognostic value of body composition on early recurrence and long-term survival of resectable pancreatic ductal adenocarcinoma
- Projected Cancer Screening and Outcomes Under the 2025 Federal Medicaid Eligibility Restrictions
- Promoting Clinical Expertise in the Age of AI: No Struggle, No Mastery
- Radiology Reimagined: Interoperability and Lessons Learned from the Imaging AI in Practice Demonstration
- Radiology State-of-the-art Review: Endometriosis Imaging Interpretation and Reporting
- Radiomics and artificial intelligence in pancreatic cyst characterization: future or fiction?
- Radiomics based on multiphasic contrast-enhanced CT combined with clinical features for differentiating hypovascular pancreatic neuroendocrine tumors and pancreatic ductal adenocarcinoma
- Real-world clinical utility of comprehensive genomic profiling in advanced solid tumors
- Reliable Multi-Prototypical Contrastive Learning for Semi-supervised Heterogeneous and Multi-organ Medical Image Segmentation
- Research: As Careers Get Longer, Midcareer Work Needs to Change
- Research: What Interruptions Reveal About Company Culture
- Research: When Consumers Have More Control Over Ads, They Respond Better
- ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
- Sleep chart of biological ageing clocks in middle and late life
- Super-resolution deep learning reconstruction improves the depiction of peripancreatic arteries and image quality in pancreatic cancer CT
- The benefit of deep genomic testing for asymptomatic high-risk individuals undergoing surveillance for pancreatic adenocarcinoma: European registry for hereditary pancreatic diseases (EUROPAC-PLUS)
- The Best Manufacturers Build AI with Workers, Not for Them
- The Challenges and Promises of Artificial Intelligence Triage Systems in Practice
- The health system CEO imperative: Turning AI's promise into performance
- The Medical AI Assistant as Publication, Not Device - Why Peer-Reviewed, Open-Source AI Belongs in the Standard of Care
- The Paradoxical Challenge of High-Value Medical Artificial Intelligence
- The Pros and Cons of Continually Assessing Performance
- The Strongest Teams of AI Agents Will Be Built Using Different Models
- The U.S. Research Talent Pipeline Is in Trouble
- These Blood Tests May Detect Dozens of Cancers, but Will They Save Lives?
- Toward More Rigorous Meta-Analyses of Artificial Intelligence in Radiology: Addressing Methodological Challenges and Bias
- Understanding the challenges to implementing AI solutions in radiology departments and how to overcome them: A comprehensive review endorsed by the French College of Radiologists (CERF) and the French Society of Radiology (SFR)
- Using routinely collected data for research purposes: challenges and mitigation strategies
- What Brands Get Wrong About Sports Sponsorships - and How to Get Them Right
- What Operating Rooms Can Teach Leaders About Team Design
- When Genomic Reanalysis Leaves the Laboratory - Clinical Genetics in the Age of Consumer AI
- When the Algorithm Teaches-Promise and Peril of AI in Physician Learning
- Where Does China Fit in Your Company's Innovation Strategy?
- Who bears liability when AI gives bad prescribing advice
- Who owns my health data?
- Why Employees Aren't Transparent About Their AI Usage
- Your Company Needs an Energy Strategy for AI's Next Phase
- Zero-shot Thoracic Oncologic History Generation for Radiologists Using Retrieval-augmented Large Language Model Pipeline