Journal Club ❯ April 2025
- 3D cinematic reconstructions of cardiovascular CT presented in augmented reality: subjective assessment of clinical feasibility and potential use cases
- A bibliometric analysis of the advance of artificial intelligence in medicine
- A Novel Pipeline for Adrenal Gland Segmentation: Integration of a Hybrid Post-Processing Technique with Deep Learning
- A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST)
- A Visually Apparent and Quantifiable CT Imaging Feature Identifies Biophysical Subtypes of Pancreatic Ductal Adenocarcinoma
- AI Predicts Life-Saving Drug for Rare Disease, Patient Enters Remission
- AI Tools in Human Hands: Measuring Real-World Impact in the Emergency Department
- AI-driven 3D Spatial Transcriptomics
- An artificial intelligence-driven revolution in orthopedic surgery and sports medicine
- Artificial intelligence in gynecologic and obstetric emergencies
- Artificial intelligence in surgery: evolution, trends, and future directions
- Best Practices for Big Data Sources and Methods in Surgery
- Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer
- Building AI trust: The key role of explainability
- Cardiac CT Calcium Score
- Cinematic Rendered Computed Tomography Imaging Enhances 3D Visualization of Upper Extremity Arteriovenous Malformation
- Cinematic Rendering of Desmoplastic Small Round Cell Tumor
- Computed Tomography-Based Sarcopenia and Pancreatic Cancer Survival-A Comprehensive Meta-Analysis Exploring the Influence of Definition Criteria, Prevalence, and Treatment Intention
- Coronary Artery Calcium Testing-Too Early, Too Late, Too Often
- CT Imaging of the Pancreas: A Review of Current Developments and Applications
- CT-Based Body Composition Measures and Systemic Disease: A Population-Level Analysis Using Artificial Intelligence Tools in Over 100,000 Patients
- Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer
- DeepSeek is open-access and the next AI disrupter for radiology
- Demystifying Meckel's diverticulum - a guide for the gastroenterologist
- Deployment of Artificial Intelligence in Radiology: Strategies for Success
- Developing ICU Clinical Behavioral Atlas Using Ambient Intelligence and Computer Vision
- Development and Evaluation of a Model to Manage Patient Portal Messages
- Enter the Physicianeers-How They Will Transform Health Care
- Equipping AI for Unbiased and Inclusive Neurology
- Ethics in Patient Preferences for Artificial Intelligence-Drafted Responses to Electronic Messages
- Evaluation of an innovative multi-cancer early detection test: high sensitivity and specificity in differentiating cancer, inflammatory conditions, and healthy individuals
- FDG PET/CT-based Response Assessment in Malignancies
- For Shiv Rao, practicing doctor and founder of $2.75 billion AI startup Abridge, innovation is an art form
- Generative Artificial Intelligence in Surgical Publishing
- Genomic and fragmentomic landscapes of cell-free DNA for early cancer detection
- Guiding AI in radiology: ESR's recommendations for effective implementation of the European AI Act
- Harnessing the Power of Generative AI to Enhance Radiologist Efficiency and Accuracy
- Hereditary multiple exostoses: an educational review
- How AI Could Reshape Health Care-Rise in Direct-to-Consumer Models
- Identifying and Targeting TNF Signaling in Idiopathic Multicentric Castleman's Disease
- Identity Matters: The Potential for a Frictionless and Secure Patient Experience
- Impact of Artificial Intelligence-Based Triage Decision Support on Emergency Department Care
- Integrating Deep Learning with Biology: A New Frontier in Triple-Negative Breast Cancer Treatment Prediction?
- Is Incrementalism Holding Back Your AI Strategy?
- Launching the Trustworthy and Responsible AI Network (TRAIN): A Consortium to Facilitate Safe and Effective AI Adoption
- Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study
- Management of Incidental Peripheral Pulmonary Arterial Aneurysm by Interventional Radiology
- Manual vs AI-Assisted Prescreening for Trial Eligibility Using Large Language Models-A Randomized Clinical Trial
- Matching the Message to the Audience-Understanding What Your Customer Needs to Hear
- Multicancer Detection (MCD) Testing in Gastrointestinal Cancers: An Evolving Tool for Early Diagnosis
- Multimodality imaging review of retroperitoneal fibrosis
- New FDA Policies Could Limit the Full Value of AI in Medicine
- New onset diabetes predicts clinical outcomes in patients with pancreatic adenocarcinoma
- Not All Clinical AI Monitoring Systems Are Created Equal: Review and Recommendations
- Online Patient Ratings of Radiologists: Counterpoint-Groups Should Not Share Ratings Without Guidelines and Guardrails
- Online Patient Ratings of Radiologists: Point-Why We Should Embrace Them
- Opportunistic Assessment for Parathyroid Adenoma on CT: A Retrospective Cohort Study Evaluating Primary Hyperparathyroidism-Associated Morbidity Over 10 Years of Follow-Up
- Opportunistic Detection of Hepatocellular Carcinoma Using Noncontrast CT and Deep Learning Artificial Intelligence
- Optimizing Large Language Models in Radiology and Mitigating Pitfalls: Prompt Engineering and Fine-tuning
- Perioperative Radiation for Patients with Resectable Pancreatic Cancer: an Updated Review After the Initial RTOG 0848 Results
- Pixel level deep reinforcement learning for accurate and robust medical image segmentation
- Practical Guide to Multiomics Big Data Sources
- Practical Tips in Aortic Surgery
- Prediction of early recurrence as a marker of surgical futility in pancreatic adenocarcinoma
- Prospects for Artificial Intelligence in Health Policy and Practice
- Pulmonary artery aneurysms: diagnosis & endovascular therapy
- Pursuing Equity With Artificial Intelligence in Health Care
- Radiomics for Treatment Planning in Liver Cancers
- Radiomics in early detection of bilio-pancreatic lesions: A narrative review
- Radiomics-Based Prediction of Patient Demographic Characteristics on Chest Radiographs: Looking Beyond Deep Learning for Risk of Bias
- Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm
- Rare Adrenal Tumors and Adrenal Metastasis
- Research: How Responsible AI Protects the Bottom Line
- Researchers Tested an AI Tool That Drafts Responses to Patient Messages-Here's What They Found
- Study Finds AI Can Quickly Prescreen Patients for Clinical Trials, Speeding Enrollment
- Study Finds People Prefer AI Over Clinician Responses to Questions in the Electronic Medical Record
- Testicular Germ Cell Tumors: A Review
- The Global Reading Room: Purchasing a Radiology Artificial Intelligence System
- The Role of AI in the Evaluation of Neuroendocrine Tumors: Current State of the Art
- The Strategic Genius of Taylor Swift
- The Utility of Generative AI in Advancing Global Health
- Towards automatical tumor segmentation in radiomics: a comparative analysis of various methods and radiologists for both region extraction and downstream diagnosis
- Trends in Physician Electronic Health Record Time and Message Volume
- Tumor localization strategies of multicancer early detection tests: a quantitative assessment
- Two-Stage Deep Learning Model for Adrenal Nodule Detection on CT Images: A Retrospective Study
- Unseen Commercial Forces Could Undermine Artificial Intelligence Decision Support
- Unveiling the Future: A Deep Learning Model for Accurate Detection of Adrenal Nodules
- Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection
- Using AI to Make You a More Compassionate Leader
- Using deep learning to differentiate among histology renal tumor types in computed tomography scans
- Value of Using a Generative AI Model in Chest Radiography Reporting: A Reader Study
- What Radiology Residents Need to Know: Abdominal Radiology
- Will AI Make the Electronic Health Record More Efficient for Clinicians?