Journal Club ❯ March 2025
- 2D and 2.5D Pancreas and Tumor Segmentation in Heterogeneous CT Images of PDAC Patients
- 8 Lessons from the Career of Softbank's Masayoshi Son
- A Cross-Sectional Study of GPT-4-Based Plain Language Translation of Clinical Notes to Improve Patient Comprehension of Disease Course and Management
- A practical approach to the post esophagectomy CT: expected postoperative anatomy and anatomical approach to associated complication
- A systematic review of generalization research in medical image classification
- A Unified Approach to Health Data Exchange: A Report From the US DHHS
- AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking
- AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks
- Accuracy of machine learning models for pre-diagnosis and diagnosis of pancreatic ductal adenocarcinoma in contrast-CT images: a systematic review and meta-analysis
- Acute splenic pathology on CT in patients with babesiosis
- Aggregated Mutual Learning between CNN and Transformer for semi-supervised medical image segmentation
- AI Code of Conduct-Safety, Inclusivity, and Sustainability
- AI Trained on Real Reddit Edits Transforms Image Editing Models
- AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognostication
- AI-Guided Lung Ultrasounds Could Help Nonexpert Clinicians Acquire "Expert-Level" Images
- An AI Chatbot Outperformed Physicians and Physicians Plus AI in a Trial-What Does That Mean?
- Anterior mediastinal lesions: CT and MRI features and differential diagnosis
- Are Artificial Intelligence-Generated Replies the Answer to the Electronic Health Record Inbox Problem?
- Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CT
- Artificial Intelligence in Nuclear Medicine: Counterpoint-More Hype Than Reality Today
- Artificial Intelligence in Nuclear Medicine: Point-More Reality Than Hype Today
- Artificial Intelligence in Pancreatic Imaging: A Systematic Review
- Automated CAD system for early detection and classification of pancreatic cancer using deep learning model
- Automated real-world data integration improves cancer outcome prediction
- Beyond the AJR: Unpredictably Unequal Effects of Artificial Intelligence Augmentation
- Can CT Image Reconstruction Parameters Impact the Predictive Value of Radiomics Features in Grading Pancreatic Neuroendocrine Neoplasms?
- Combining Biology-based and MRI Data-driven Modeling to Predict Response to Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer
- Combining Multiple Large Language Models Improves Diagnostic Accuracy
- Comprehensive analysis of clinical data and radiomic features from contrast enhanced CT for differentiating benign and malignant pancreatic intraductal papillary mucinous neoplasms
- Coronary Artery Disease Reporting and Data System Update
- Cross-sectional evaluation of thoracic lymphoma
- CSWin-UNet: Transformer UNet with cross-shaped windows for medical image segmentation
- CT Angiography Assessment of Dorsal Pancreatic Artery and Intrapancreatic Arcade Anatomy: Impact on Whipple Surgery Outcomes
- CT Angiography of the Upper Extremities: Review of Acute Arterial Entities
- CT evaluation of the anterior mediastinum: spectrum of disease
- CT Urography-Based Radiomics to Predict ISUP Grading of Clear Cell Renal Cell Carcinoma
- CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resectable pancreatic ductal adenocarcinoma
- Cultivating Health Care's AI Future
- Current and Future Applications of PET Radiomics in Radiation Oncology
- Current Approaches of Pancreatic Cancer Surveillance in High-Risk Individuals
- Deep Learning for Pancreas Segmentation: a Systematic Review
- Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation
- Deployment of Artificial Intelligence in Radiology: Strategies for Success
- Developing ICU Clinical Behavioral Atlas Using Ambient Intelligence and Computer Vision
- Diagnosis of Pancreatic Ductal Adenocarcinoma Using Deep Learning
- Diagnostic performance of ChatGPT in tibial plateau fracture in knee X-ray
- Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots
- Distinguishing benign and malignant myxoid soft tissue tumors: Performance of radiomics vs. radiologists
- Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors
- Early detection of pancreatic cancer in the era of precision medicine
- EcD-Net: Encoder-Corollary Atrous Spatial Pyramid Pooling-decoder network for automated pancreas segmentation of 2D CT images
- Editorial Comment: A Spectrum of Opportunities-Photon-Counting Detector CT and Osteoporosis
- Evaluation of an image-rich quiz-based iOS app as a study resource for the ABR Core exam
- Evolving Paradigms in the Treatment of Oligometastatic Pancreatic Ductal Adenocarcinoma
- Focal pancreatic parenchymal atrophy could be a precursor of pancreatic cancer
- FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
- Generative Artificial Intelligence in Surgical Publishing
- Guidelines and standard frameworks for artificial intelligence in medicine: a systematic review
- Hepatobiliary and Pancreatic Neoplasms: Essential Predictive Imaging Features for Personalized Therapy
- Holoview: Interactive 3D visualization of medical data in AR
- How to Get Hired When AI Does the Screening
- Imaging of thymic epithelial tumors-a clinical practice review
- Increasing patient viewership of complex imaging reports: The paradox of the Cures Act
- Informatics strategies for early detection and risk mitigation in pancreatic cancer patients
- Integrating OMICS-based platforms and analytical tools for diagnosis and management of pancreatic cancer: a review
- Interstitial Lung Disease in Connective Tissue Disease
- Launching the Trustworthy and Responsible AI Network (TRAIN): A Consortium to Facilitate Safe and Effective AI Adoption
- Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation
- Life: Distributed and Open Source
- Making the Ethical Oversight of All Clinical Trials Fit for Purpose
- Measuring Lung Nodules on Lung Cancer Screening CT: Counterpoint-Mean Diameters Measure Up!
- Measuring Lung Nodules on Lung Cancer Screening CT: Point-Volumetric Measurement Aids Detection of Nodule Growth
- Moving Toward Implementation of Responsible Artificial Intelligence in Health Care: The European TRAIN Initiative
- MRI delta radiomics during chemoradiotherapy for prognostication in locally advanced cervical cancer
- MulA-nnUNet: A Multi-Attention Enhanced nnUNet Framework for 3D Abdominal Multi-Organs Segmentation
- Multimodal Imaging of Osteosarcoma: From First Diagnosis to Radiomics
- Multimodality imaging of mediastinal masses and mimics
- Nationwide real-world implementation of AI for cancer detection in population-based mammography screening
- New FDA Policies Could Limit the Full Value of AI in Medicine
- Not All Clinical AI Monitoring Systems Are Created Equal: Review and Recommendations
- OmicsFootPrint: a framework to integrate and interpret multi-omics data using circular images and deep neural networks
- Opportunistic Bone Mineral Density Measurement Using Photon-Counting Detector CT Spectral Localizer Images: A Prospective Study
- Overview of real-world applications of federated learning with NVIDIA FLARE
- Pancreatic Well-Differentiated Neuroendocrine Tumors are Frequently Undergraded on Endoscopic Ultrasound-Guided Fine Needle Biopsy Sampling: A Single Institutional Experience
- Parallel molecular data storage by printing epigenetic bits on DNA
- Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules
- PET/CT: Interpretative Pitfalls in the Thorax
- Practical approach to extracardiac findings in CT and MR for the non-radiologist
- Practical Guide to Artificial Intelligence, Chatbots, and Large Language Models in Conducting and Reporting Research
- Practical Guide to Image-Based Big Data Research
- Practical Guide to Multiomics Big Data Sources
- Practical Guide to the Use of AI-Enabled Analytics in Research
- Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data
- Preoperative Imaging of the Thoracic Aorta
- Preparing for the Widespread Adoption of Clinic Visit Recording
- Prognostic value of CT findings for conservative treatment failure in adhesive small bowel obstruction
- Radiographic Manifestations of Lung Cancer
- Radiomics machine learning algorithm facilitates detection of small pancreatic neuroendocrine tumors on CT
- Regulation of Artificial Intelligence in Health Care and Biomedicine
- Regulation of Artificial Intelligence in Health Care and Biomedicine-Reply
- Research Domain Criteria in NIMH Grants Characterized Using Large Language Models
- Researchers Tested an AI Tool That Drafts Responses to Patient Messages-Here's What They Found
- Researchers Use Machine Learning to Put Older Clinical Guidelines to the Test
- Retroperitoneal ganglioneuroma simulating lymphoma: An unusual case presentation
- Scalable watermarking for identifying large language model outputs
- Semi-supervised multi-modal medical image segmentation with unified translation
- Single-cell transcriptomics analysis reveals dynamic changes and prognostic signature in tumor microenvironment of PDAC
- Small pancreatic ductal adenocarcinoma (≤ 2 cm): different imaging and clinicopathologic features according to extrapancreatic extension
- Striking a Balance - Advancing Physician Collective-Bargaining Rights and Patient Protections
- Study Finds People Prefer AI Over Clinician Responses to Questions in the Electronic Medical Record
- Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review
- The AI Revolution in Medicine
- The Burden of Reviewing LLM-Generated Content
- The diagnostic dilemma of adrenal vascular tumors: analysis of 21 cases and systematic review of the literature
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
- The potential of generative AI with prostate-specific membrane antigen (PSMA) PET/CT: challenges and future directions
- The Revised Declaration of Helsinki-Considerations for the Future of Artificial Intelligence in Health and Medical Research
- The Risks of Underestimating Competition from China
- There is no "I" in team: Implications for academic radiology
- Thymic Imaging Pitfalls and Strategies for Optimized Diagnosis
- To Jumpstart Creativity, Try These 8 Prompts
- Transformers in medical image segmentation: A review Author links open overlay panel
- Unlocking the next frontier of personalized marketing
- Unseen Commercial Forces Could Undermine Artificial Intelligence Decision Support
- Updates in the Role of Positron Emission Tomography/Computed Tomography in Radiation Oncology in Gastrointestinal Malignancies
- Use of Digital Health Technologies by Older US Adults
- Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection
- Using Large Language Models to Promote Health Equity
- Virtual 3D models, augmented reality systems and virtual laparoscopic simulations in complicated pancreatic surgeries: state of art, future perspectives, and challenges
- When No One Retires