Journal Club ❯ June 2025
- A Call for Disclosure When Using AI for Patient Communications
- A clearer view
- A comparison of performance of DeepSeek-R1 model-generated responses to musculoskeletal radiology queries against ChatGPT-4 and ChatGPT-4o - A feasibility study
- A Comprehensive Survey on Deep Learning in Abdominal Imaging: Datasets, Techniques, and Performance Metrics
- A Computed Tomography-Based Score to Predict Survival in Patients With Adrenocortical Carcinoma: A Proof-of-Concept Study
- A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration
- A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
- A New Clinical Trial Evaluates Screening for Pancreatic Cysts
- A novel framework for esophageal cancer grading: combining CT imaging, radiomics, reproducibility, and deep learning insights
- A Reality Check on the GPT Revolution
- Abdominal vascular compression syndromes: A pictorial review
- Academic influence of American College of Radiology Appropriateness Criteria: a citation analysis of thoracic and cardiac imaging guidelines
- Adapting Clinical Ethics Consultations to Address Ethical Issues of Artificial Intelligence
- AI Opportunistic Coronary Calcium Screening at Veterans Affairs Hospitals
- AI Streamlines Prostate Pathology Data Extraction
- AI-Driven Clinical Documentation - Driving Out the Chitchat?
- An Automated Whole Torso Aortic and Iliac Artery Atherosclerotic Burden Assessment on Body CT
- An Integrated Deep Learning Model for Pancreatic Cancer Segmentation and Classification based on CT Images
- Anatomically resectable versus biologically borderline resectable pancreatic cancer definition: refining the border beyond anatomical criteria and biological aggressiveness
- Artificial Intelligence in Gastrointestinal Imaging: Advances and Applications
- Artificial intelligence in medical imaging: From task-specific models to large-scale foundation models
- Artificial Intelligence in the Clinic: Creating Harmony or Just Adding Noise?
- Assessing NODM Patients for Early PDAC Diagnosis: Incidence of NODM Before PDAC Diagnosis and Subsequent PDAC Risk
- Barriers to and facilitators of clinician acceptance and use of artificial intelligence in healthcare settings: a scoping review
- Beyond Conventional CT: Role of Dual-Energy CT in Monitoring Response to Therapy in Abdominal Malignancies
- Can quantitative perfusion CT-based biomarkers predict renal cell carcinoma subtypes?
- Challenges in the Postmarket Surveillance of Clinical Prediction Models
- Chromophobe Renal Cell Carcinoma with Radiologic-Pathologic Correlation
- Chromophobe renal cell carcinoma: multiphase MDCT enhancement patterns and morphologic features
- Cinematic rendering of gastrointestinal foreign body in a child
- Cinematic rendering of transcatheter aortic valve replacement-associated infective endocarditis
- Clinical and radiological predictive features for high-grade and invasive carcinoma in intraductal papillary mucinous neoplasms: A systematic review
- Clinicopathological and molecular characterization of KRAS wild-type pancreatic ductal adenocarcinomas reveals precursor lesions with oncogenic mutations and fusions in RAS pathway genes
- Coronary Artery Disease Reporting and Data System Update
- Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care
- Data-Driven Ventures: A Path to Higher Returns and Greater Gender Equity
- Deep learning for pancreas segmentation on computed tomography: a systematic review
- Deep learning-based post hoc denoising for 3D volume-rendered cardiac CT in mitral valve prolapse
- DeepOptimalNet: optimized deep learning model for early diagnosis of pancreatic tumor classification in CT imaging
- DeepSeek Unmasked: Exposing the CCP'S Latest Tool for Spying, Stealing, and Subverting the U.S. Export Control Restrictions
- Demystifying Artificial Intelligence for Health Care Professionals: Continuing Professional Development as an Agent of Transformation Leading to Artificial Intelligence-Augmented Practice
- Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients
- Development, Evaluation, and Assessment of Large Language Models (DEAL) Checklist: A Technical Report
- Efficient Human-in-the-Loop Pancreatic Tumor Annotation via Large-Scale Pre-Trained Model with Adaptive Post-Processing
- Enhancing Large Language Models with Retrieval-Augmented Generation: A Radiology-Specific Approach
- Enhancing noninvasive pancreatic cystic neoplasm diagnosis with multimodal machine learning
- Entrustment and EPAs for Artificial Intelligence (AI): A Framework to Safeguard the Use of AI in Health Professions Education
- Evaluating the role of quantitative computed tomography perfusion parameters in differentiating hepatocellular carcinoma from other hepatic neoplasms
- Evaluation of an Ambient Artificial Intelligence Documentation Platform for Clinicians
- Exploring the new Kyoto guidelines for managing pancreatic cysts: an overview and comparison with previous guidelines
- Floating Aortic Thrombus and Acute Myocardial Infarction
- From Dr Google to AI: Tech Improving But Moravec's Paradox Still Matters
- Generative AI in Health Care: From Proof of Concept to Transformational Impact
- Harnessing Moravec's Paradox in Health Care: A New Era of Collaborative Intelligence
- How an Economist's Application of Machine Learning to Target Nudges Applies to Precision Medicine
- How People Are Really Using Gen AI in 2025
- How to read a paper involving artificial intelligence (AI)
- Imaging and Management of Subsolid Lung Nodules
- Imaging assessment of calcinosis in juvenile dermatomyositis: a narrative review
- Imaging in Oncology
- Imaging Manifestations Following Radiation Therapy for Lung Cancer
- Imaging of Mediastinal Masses
- Imaging of the Postoperative Thoracic Aorta
- Imaging of the Retroperitoneum
- Improving outcomes of patients with pancreatic cancer
- Interpretable Prognostic Modeling for Postoperative Pancreatic Cancer Using Multi-machine Learning and Habitat Radiomics: A Multi-center Study
- Interstitial Lung Disease in Connective Tissue Disease
- Landmark-Based Pancreas Sub-region Segmentation in CT
- Lung-RADS v2022 Update
- Lymphatic Drainage of Thoracic and Extrathoracic Malignancies
- Management and Prevention of Hypersensitivity Reactions to Radiocontrast Media: A Consensus Statement from the American College of Radiology and the American Academy of Allergy, Asthma & Immunology
- Master of Digital Health Degree
- Medical image translation with deep learning: Advances, datasets and perspectives
- Model Calibration, Interpretability, and Decision-Making with AI-Based Risk Scores
- Modeling radiologists' cognitive processes using a digital gaze twin to enhance radiology training
- Molecular imaging of neuroendocrine tumors: Current applications and future trends
- More Fragmented, More Complex: State Regulation of AI in Health Care
- Multi-cancer early detection tests: Attributes for clinical implementation
- Multimodal Image Dataset for AI-Based Skin Cancer (MIDAS) Benchmarking
- Multi-modal large language models in radiology: principles, applications, and potential
- National Trends and Impact of Preoperative CT-Angiography on Autologous Breast Reconstruction
- Optimal Surveillance Interval of Branch Duct Intraductal Papillary Mucinous Neoplasm of the Pancreas
- Optimizing Large Language Models in Radiology and Mitigating Pitfalls: Prompt Engineering and Fine-tuning
- Pancreas segmentation in CT scans: A novel MOMUNet based workflow
- Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection
- Pancreatic adenocarcinoma with distant soft tissue metastases: a case report and literature review
- Pancreatic cancer
- Pancreatic Cysts
- Patient-Centered Research Through Artificial Intelligence to Identify Priorities in Cancer Care
- Patients' Trust in Health Systems to Use Artificial Intelligence
- Pearls and Pitfalls in Thoracic Disease Imaging
- People Overtrust AI-Generated Medical Advice despite Low Accuracy
- Performing liver imaging at a high level: quality and adequacy in LI-RADS
- Periarterial divestment for borderline and locally advanced pancreatic cancer: An analysis of 125 cases in a single center
- PET/CT: Interpretative Pitfalls in the Thorax
- Physician- and Large Language Model-Generated Hospital Discharge Summaries
- Postoperative Complications in Lung Cancer
- Predicting Agitation Events in the Emergency Department Through Artificial Intelligence
- Predicting Mortality with Deep Learning: Are Metrics Alone Enough?
- Preoperative assessment in lymph node metastasis of pancreatic ductal adenocarcinoma: a transformer model based on dual-energy CT
- Preoperative Imaging of the Thoracic Aorta
- Preserving the Academic Mission Amid Radiologist Shortages and Financial Pressures
- Pulmonary Calcification and Ossification: Pathogenesis, CT Appearance, and Specific Disorders
- Radiographic Manifestations of Lung Cancer
- Radiologist's Disease: Imaging for Renal Cancer
- Radiomics prediction of surgery in ulcerative colitis refractory to medical treatment
- Radiomics-based machine learning in prediction of response to neoadjuvant chemotherapy in osteosarcoma: A systematic review and meta-analysis
- Randomized Study of the Impact of AI on Perceived Legal Liability for Radiologists
- Regulation of AI: Learnings from Medical Education
- Research: Do LLMs Have Values?
- Research: Gen AI Makes People More Productive - and Less Motivated
- Rethinking boundary detection in deep learning-based medical image segmentation
- Reviewing superficial bone lesions: What the radiologist needs to know
- Right Care, Right Place, First Time: How AI Is Improving National Virtual Front Doors
- The AI Revolution in Medicine
- The Clinician-Scientist Radiology Residency Pathway: Cultivating Leaders in Radiology Research and Innovation
- The current status and future directions of artificial intelligence in the prediction, diagnosis, and treatment of liver diseases
- The impacts of artificial intelligence in radiology
- The implementation of artificial intelligence in serial monitoring of post gamma knife vestibular schwannomas: A pilot study
- The Role of 68Ga-DOTATATE Positron Emission Tomography/Computed Tomography in Well-Differentiated Neuroendocrine Tumors: A Case-Based Approach Illustrates Potential Benefits and Challenges
- The role of AI in mitigating the impact of radiologist shortages: a systematised review
- The role of patient outcomes in shaping moral responsibility in AI-supported decision making
- The Role of Social Media in Fueling Bias in Oncology
- The Use of Artificial Intelligence for Cancer Therapeutic Decision-Making
- The Utility of Cardiac Computed Tomographic Angiography in Differentiating Between Papillary Fibroelastoma, Infective Endocarditis, and Degeneration of the Aortic Valve
- The utility of ChatGPT in musculoskeletal imaging-related patient education
- Time to Study Implementation of AI-Generated Discharge Summaries
- Ultimate focus: applications of the Churchill Method in radiology
- Unicentric Castleman disease: CT and cinematic rendering imaging features
- Validation of a CT-based model for early prediction of post pancreatectomy haemorrhage risk
- Very severe aortic valve stenosis: Diagnostic value of computed tomography aortic valve calcium scoring
- Want to Use AI as a Career Coach? Use These Prompts.
- Why an overreliance on AI-driven modelling is bad for science
- Why Is Primary Care Different? Considerations for Machine Learning Development with Electronic Medical Record Data