Journal Club ❯ June 2026
- 3 Ways AI Can Free Organizations from Legacy Workflows
- A Collaborative Best Practice Guide for Promoting AI Vendor Transparency in Health Care - The HAIP AI Vendor Disclosure Framework
- A CT-based deep learning model to differentiate between benign and malignant adrenal lesions
- A CT-based model integrating deep learning features radiomics and body composition for preoperative prediction of microsatellite instability in colorectal cancer: a multicenter study
- A Licensure Framework for Autonomous Clinical AI
- A68-18 Accuracy of a Deep Learning Model for Radiographic Pneumonia in Urgent Care Clinics
- Abdominal multi-organ segmentation on 3D negative-contrast CT cholangiopancreatography: a comparative study of deep learning methods
- Accountability Must Be Chosen, Not Mandated
- ACR Appropriateness Criteria Thoracic Venous Occlusions-Suspected Superior Vena Cava Syndrome
- Adrenal Nodule Characterization at Venous Photon-Counting CT: Liver Virtual Noncontrast versus Virtual Unenhanced Comparison
- Advances in RAS Therapeutics for Pancreatic Cancer
- AI in Critical Care-Use for De-Escalation Rather Than Escalation of Care
- AI Will Accelerate Drug Discovery by Accelerating Clinical Evidence
- Altered renal corticomedullary differentiation on CT, Part II: a pictorial review of malignant causes
- Ambient AI in Clinical Practice - The Legal Landscape of Recording Consent Requirements
- Ambient AI Scribes and the Quintuple Aim: What Is Counted-and What Matters
- Aortoenteric fistulas in the emergency setting: CT findings and diagnostic pitfalls - a pictorial review
- Application of upright multidetector CT in orthopedics and the musculoskeletal system: insights into anatomy, alignment, and biomechanics
- Applications of Evolutionary Computation
- Artificial Intelligence as a Return on Investment Multiplier in Health Care
- Artificial Intelligence Is Not the End of the Physician
- Artificial Intelligence Sees the Image, Radiologists See the Patient
- Automation Bias in Large Language Model-Assisted Diagnostic Reasoning among Physicians Trained in AI Literacy - A Randomized Clinical Trial
- Beyond handcrafted radiomics in oncologic imaging: Innovations in deep, explainable, multi-site and multi-omics radiomics approaches
- Can AI Say "I Don't Know"?
- Carotid perivascular adipose tissue attenuation predicts stroke and TIA in symptomatic carotid artery disease patients
- Changes in Nonprofit Hospitals' Finances, Operations, and Quality of Care After Using Management Consultants
- Cinematic rendering in pancreatic imaging: CT features and malignancy indicators of mucinous cystic neoplasms
- Clinical course and predictive factors of incidentally detected adult intussusceptions on CT: a retrospective cohort study
- Computed tomography and cinematic rendering features of gastric anisakiasis
- CT-based Opportunistic Screening for Adding Clinical Value: How I Do It
- Current Topics in Learning and Development in Radiology: AJR Expert Panel Narrative Review
- Daraxonrasib in Previously Treated Advanced RAS-Mutated Pancreatic Cancer
- Decision Modeling to Guide Management of Pancreatic IPMNs: Immediate Surgery or Initial Surveillance?
- Detecting Asymptomatic Coronary Artery Disease Using Coronary Artery Calcium Score and Coronary Computed Tomography Angiography
- Do Not Anchor on Vasculitis: Pancreatic Cancer Presenting With Isolated Celiac/Superior Mesenteric Artery Thickening
- EchoNext-Mini: A Dataset and Baseline AI Model for Detecting Structural Heart Disease from Electrocardiograms
- Elective MRI Screening of the General Public-Buyer Beware
- Empathetic Leadership Can Make or Break AI Adoption
- Ensuring patient safety: a comprehensive approach to radiological errors
- Evaluating the role of the main pancreatic duct in intraductal papillary mucinous neoplasm grading: A multi-structure radiomics-based machine learning approach
- Evidence-based approach to the diagnosis, management and surveillance of pancreatic cystic lesions: from the guidelines to the clinical practice
- From common to rare: imaging spectrum of gastric malignancies
- From Mission to Margin in Academic Medicine - The Impact of Corporate Medicine on Medical Training
- From the Practice Room to the Reading Room: Translating Musical Training to Radiology Practice
- Gastric Cancer
- Gen AI Could Fix Performance Reviews - or Make Them Even Worse
- GPT-5, Gemini 2.5 Pro, and Qwen3 for Answering Clinical Questions Regarding ACR RADS Guidelines
- Hereditary pancreatic cancer: A proposal for surveillance from the Italian Association for the Study of the Pancreas (AISP)
- Hereditary syndromes and RCC: what radiologists need to know
- How Gen AI Robots Are Reshaping Services
- How to Build a Superteam That Keeps Getting Better
- How to implement a radiologist led whole-body MRI screening program
- How to Move from AI Experimentation to AI Transformation
- Hypervascular solid-appearing serous cystadenoma as a mimic of nonfunctioning pancreatic neuroendocrine tumour: a systematic review
- I Hope You Are Doing Well - Will AI Widen or Close Health Care's Disparity Gap?
- Interpreting AI-Enhanced ECG Performance in High-Risk, Resource-Limited Settings
- It's Hard to Use AI as a Team. These 3 Practices Can Help.
- Machine learning and artificial intelligence in liquid biopsy-based early detection of pancreatic cancer: a scoping review
- Managing Difficult Directors
- Measuring the Return on Investment for Clinician-Facing Artificial Intelligence Technologies
- Medicine as an Information Industry in the Age of Language Models
- Next-generation AI for visually occult pancreatic cancer detection in a low-prevalence setting with longitudinal stability and multi-institutional generalisability
- Overcoming the Digital Divide in Health Care AI
- Pancreatic Cancer Screening and Early Detection: Current Strategies and Emerging Innovations in Imaging
- Peanut Allergy
- Promoting Clinical Expertise in the Age of AI: No Struggle, No Mastery
- Radiomics and artificial intelligence in pancreatic cyst characterization: future or fiction?
- Radiomics Applicability Domain Analysis Classification Framework (RADAN-CF): A method for evaluating prediction reliability in radiomics
- Radiomics validation for non-invasive characterisation and surgical decision-making in adrenal disease
- Scanning the Health Care System in the US
- Seeing the unseen: AI radiomics unmasking occult pancreatic cancer?
- Sleep chart of biological ageing clocks in middle and late life
- Speed and Safety in Pediatric Artificial Intelligence-Child in the Loop
- Strategy's biggest blind spot: Erosion of competitive advantage
- SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment
- Testing times
- The augmentation myth: AI, economics, and workforce substitution in radiology
- The Best Leaders Embrace the Role of Supporting Character
- The Case for Hiring a Chief Resilience Officer
- The differences in CT findings between schwannoma in mediastinum and retroperitoneum
- The HBR Guide to CEO Transitions
- The Leadership Dance: Swaying Between Structure and Freedom
- The next era of healthcare is personal
- The Price of Advice-Do Management Consultants Deliver Value to Nonprofit Hospitals?
- The rise of the human-AI workforce
- The three snake rules: Lessons in leadership from an inside perspective
- The value of patient-focused drug development
- These Blood Tests May Detect Dozens of Cancers, but Will They Save Lives?
- Toward protocol simplification: Deep learning-based image synthesis in three-phase CT urography
- Trust, Scrutiny, or Collaboration? A Performance-Based Framework for Human-AI Interaction in Medicine
- Use and Public Reporting of Predetermined Change Control Plans for AI-Enabled Medical Devices
- What Customer Workarounds Can Reveal About Your Business Model
- What Values Do You Really Stand For?
- When radiology stops being a specialty
- Who owns my health data?
- Whole-Body MR Imaging in Cancer Detection: Protocols, Practices, and Future Directions
- Why Effective Leaders Get Branded as Problems
- Why Leaders Should Let Minor Mistakes Slide
- Workflow Blocking in Clinical Care: The Usability Gap Beyond Information Blocking