Journal Club ❯ December 2024
- A Closer Look at the Biden Administration's Executive Order on Artificial Intelligence: Implications for the Imaging Space
- A Confirmed Extrarenal Birt-Hogg-Dube-Associated Oncocytic Neoplasm
- A foundation model for clinical-grade computational pathology and rare cancers detection
- Abdominal and Pelvic Imaging Cases
- Accuracy and Impact of AI Software for Nodule and Cancer Detection at Lung Cancer Screening CT
- Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans
- AI Can't Worry About Patients, and a Clinical Ethicist Says That Matters
- AI Code of Conduct-Safety, Inclusivity, and Sustainability
- AI for Oncology Drug Data Harmonization - Amazon versus OpenAI
- AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
- AI-Powered Clinical Documentation and Clinicians' Electronic Health Record Experience: A Nonrandomized Clinical Trial
- Analyzing the High Frequency of False-Positive Carcinoembryonic Antigen Elevations in Postoperative Pancreatic Ductal Adenocarcinoma
- Application of a deep-learning marker for morbidity and mortality prediction derived from retinal photographs: a cohort development and validation study
- Application of imaging technology for the diagnosis of malignancy in the pancreaticobiliary duodenal junction (Review)
- Artificial intelligence for bone fracture detection: A promising tool but no substitute for human expertise
- Artificial Intelligence in Cardiovascular Clinical Trials
- Artificial intelligence in commercial fracture detection products: a systematic review and meta-analysis of diagnostic test accuracy
- Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy
- Artificial Intelligence in Nuclear Medicine: Counterpoint-More Hype Than Reality Today
- Artificial Intelligence in Nuclear Medicine: Point-More Reality Than Hype Today
- Artificial intelligence tools trained on human-labeled data reflect human biases: a case study in a large clinical consecutive knee osteoarthritis cohort
- ChatGPT and Large Language Models in Radiology: Perspectives From the Field
- ChatGPT as an effective tool for quality evaluation of radiomics research
- Collaboration between clinicians and vision-language models in radiology report generation
- Combining Multiple Large Language Models Improves Diagnostic Accuracy
- Compared with What? Measuring AI against the Health Care We Have
- Computed Tomography Imaging for Suspected Gastrointestinal Bleeding and Bowel Ischemia
- Congenital Pulmonary Vascular Anomalies and Disease
- Defining our future with generative AI
- Detecting clinical medication errors with AI enabled wearable cameras
- Diagnostic Performance of AI-enabled Plaque Quantification from Coronary CT Angiography Compared with Intravascular Ultrasound
- Echoes of Concern-AI and Moral Agency in Medicine
- Editorial Comment: Radiologists Must Recognize the Limitations of Current Interpretative Artificial Intelligence Applications
- Establishing a Validation Infrastructure for Imaging-Based Artificial Intelligence Algorithms Before Clinical Implementation
- Evidence-Based Review of Current Cross-Sectional Imaging of Inflammatory Bowel Disease
- Evolving With Artificial Intelligence: Integrating Artificial Intelligence and Imaging Informatics in a General Residency Curriculum With an Advanced Track
- FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine
- Four-Channel ECG as a Single Source for Early Diagnosis of Cardiac Hypertrophy and Dilation - A Deep Learning Approach
- FTC Regulation of AI-Generated Medical Disinformation
- Futility of Up-Front Resection for Anatomically Resectable Pancreatic Cancer
- Generating Synthetic Data for Medical Imaging
- Generative AI and the future of HR
- Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department
- Google DeepMind's John Jumper On Winning The Nobel Prize And The Future Of AlphaFold
- GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
- Guidelines for the Prevention, Diagnosis, and Management of Urinary Tract Infections in Pediatrics and Adults: A WikiGuidelines Group Consensus Statement
- Habitat Imaging With Tumoral and Peritumoral Radiomics for Prediction of Lung Adenocarcinoma Invasiveness on Preoperative Chest CT: A Multicenter Study
- How to Regulate Generative AI in Health Care
- Imaging for Early Detection of Pancreatic Ductal Adenocarcinoma: Updates and Challenges in the Implementation of Screening and Surveillance Programs
- Imaging of Acute Pulmonary Embolism: An Update
- Imaging of Cirrhosis and Hepatocellular Carcinoma: Current Evidence
- Imaging of cystic fibrosis manifestations in the abdomen
- Imaging of Pulmonary Vascular Disease
- Imaging of the Inferior Mesenteric Vasculature
- Imaging of the J-pouch
- Imaging of Upper Tract Urothelial Carcinoma
- Implementation of structured radiology reporting and its associated accuracy in comparison to pancreas multi-disciplinary clinic expert radiology review
- Improving Adherence to Best Practices for Incidental Abdominal Aortic Aneurysms on CT and MRI
- Improving Efficiencies While Also Delivering Better Health Care Outcomes: A Role for Large Language Models
- Integration of Teleradiology and Artificial Intelligence: Opportunities and Challenges
- Investing in Artificial Intelligence and Digital Health-What Radiology Innovators Need to Know
- Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial
- Large Language Models and the Degradation of the Medical Record
- Large Language Models-Misdiagnosing Diagnostic Excellence?
- Large vessel vasculitis evaluation by CTA: impact of deep-learning reconstruction and "dark blood" technique
- Laterality: A Potential Pitfall in Applying Multimodal Large Language Models to Radiology
- Low breast density is associated with epicardial adipose tissue volume and coronary artery disease
- Low-Dose Whole-Chest Dynamic CT for the Assessment of Large Airway Collapsibility in Patients with Suspected Tracheobronchial Instability
- Main challenges on the curation of large scale datasets for pancreas segmentation using deep learning in multi-phase CT scans: Focus on cardinality, manual refinement, and annotation quality
- Mary Steps Out: Capturing Patient Experience through Qualitative and AI Methods
- Matching Patients to Clinical Trials with Large Language Models
- Maximizing the Ability of Health IT and AI to Improve Patient Safety
- Multimodal pancreatic cancer detection using methylated DNA biomarkers in pancreatic juice and plasma CA 19-9: A prospective multicenter study
- Multisystem diseases in the abdomen and pelvis: imaging manifestations and diagnostic roles of cross-sectional imaging
- National Academies President on How to Use Generative AI Responsibly in Scientific Research
- Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure
- Neurodiversity and Leadership
- New Old Age Meets the Same Old Ageism: Leveraging Technology to Promote Healthier Aging
- Oral CT Contrast Agents: What's New and Why, From the AJR Special Series on Contrast Media
- Pancreatic Cancer Surveillance and Survival of High-Risk Individuals
- Pathology of Pulmonary Vascular Disease with Radiologic Correlation
- Pearls and Pitfalls for LLMs 2.0
- Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
- Performance of Multimodal Artificial Intelligence Chatbots Evaluated on Clinical Oncology Cases
- Personalized three-year survival prediction and prognosis forecast by interpretable machine learning for pancreatic cancer patients: a population-based study and an external validation
- Pictorial Review of Rare Pancreatic Tumors and Tumor-like Lesions: Radiologic-Pathologic Correlation
- Pitfalls in Interpretive Applications of Artificial Intelligence in Radiology
- Preoperative assessment of pancreatic cancer with [68Ga]Ga-DOTA-FAPI-04 PET/MR versus [18F]-FDG PET/CT plus contrast-enhanced CT: a prospective preliminary study
- Preoperative Prediction of Lymph Node Metastases in Nonfunctional Pancreatic Neuroendocrine Tumors Using a Combined CT Radiomics-Clinical Model
- Preoperative Prediction of Perineural Invasion in Pancreatic Ductal Adenocarcinoma Using Machine Learning Radiomics Based on Contrast-Enhanced CT Imaging
- Quantitative multi-energy CT in oncology: State of the art and future directions
- Radiomics machine learning algorithm facilitates detection of small pancreatic neuroendocrine tumors on CT
- Revolutionizing Health Care with AI: A New Era of Efficiency, Trust, and Care Excellence
- Role of volumetric tumor enhancement on CT in predicting overall survival in patients with unresectable pancreatic ductal adenocarcinoma
- Routine Imaging or Symptomatic Follow-Up After Resection of Pancreatic Adenocarcinoma
- RSNA 2023 Abdominal Trauma AI Challenge Review and Outcomes Analysis
- Spectrum of Heterotopic and Ectopic Splenic Conditions
- Surveillance for Hepatocellular Carcinoma
- Synergizing traditional CT imaging with radiomics: a novel model for preoperative diagnosis of gastric neuroendocrine and mixed adenoneuroendocrine carcinoma
- Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review
- The Age of Artificial Intelligence: Does "Why" Still Matter?
- The Design of RenderMan
- The EU AI Act: Implications for U.S. Health Care
- The Scents, Sense, and Cents in Jeni's Splendid Ice Creams: Implications for Radiology
- The Translational Medicine of 2030: Bedside to Biosphere
- The Treasure Trove Hidden in Plain Sight: The Utility of GPT-4 in Chest Radiograph Evaluation
- The Utility of Cardiac Computed Tomographic Angiography in Differentiating Between Papillary Fibroelastoma, Infective Endocarditis, and Degeneration of the Aortic Valve
- The VA Was an Early Adopter of Artificial Intelligence to Improve Care-Here's What They Learned
- Time to place our bets: Europe’s AI opportunity
- Translating AI for the Clinician
- Trauma and 'Whole' Body Computed Tomography: Role, Protocols, Appropriateness, and Evidence to Support its Use and When
- UNet-based multi-organ segmentation in photon counting CT using virtual monoenergetic images
- Unlocking the Value: Quantifying the Return on Investment of Hospital Artificial Intelligence
- Urologic Imaging of the Bladder: Cancers and Mimics
- Use of Artificial Intelligence-Based Detection of Diabetic Retinopathy in the US
- Use of ChatGPT and Generative AI in Higher Education: Opportunities, Obstacles and Impact on Student Performance
- WAW-TACE: A Hepatocellular Carcinoma Multiphase CT Dataset with Segmentations, Radiomics Features, and Clinical Data
- We Need More Randomized Clinical Trials of AI
- What can radiologists learn from the AI evolution in dentistry?
- Whitepaper: The technology behind photon-counting CT