Journal Club ❯ June 2023
- 2022 use of coronary computed tomographic angiography for patients presenting with acute chest pain to the emergency department: An expert consensus document of the Society of cardiovascular computed tomography (SCCT): Endorsed by the American College of
- 3D and cinematic rendering of abdominopelvic pathology in the peripartum period
- A Case of Pancreatic Ewing Sarcoma
- A comparison of ChatGPT-generated articles with human-written articles
- A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
- A Framework for Picking the Right Generative AI Project
- A precision environmental health approach to prevention of human disease
- A Simplified Risk Score to Estimate the Risk of Contrast-Induced Nephropathy after Contrast Exposure
- Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations
- Abdominal peer learning: advantages and lessons learned
- Ability of ChatGPT to generate competent radiology reports for distal radius fracture by use of RSNA template items and integrated AO classifier
- Accordion Sign (Concertina Sign)
- Adrenal cysts: an emerging condition
- Advances in Artificial Intelligence for Infectious-Disease Surveillance
- AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults
- AI-Generated Medical Advice-GPT and Beyond
- An analysis of time to treatment in patients with pancreatic adenocarcinoma
- Annotating 8,000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks
- Apical Ischemia Is a Universal Feature of Apical Hypertrophic Cardiomyopathy
- Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
- Artificial intelligence and radiomics in evaluation of kidney lesions: a comprehensive literature review
- Artificial Intelligence as a Public Service
- Artificial Intelligence for Clinical Trial Design
- Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT
- Artificial Intelligence-Enabled Analysis of Statin-Related Topics and Sentiments on Social Media
- Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance
- Be in the Digital Room Where it Happens, Part II: Social Media for Neurology Educators
- BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors
- Beyond the AJR: CT Radiomic Features of the Pancreas Predict Development of Pancreatic Cancer
- Beyond the AJR: Improving Radiologist Performance and Efficiency Using Chest Radiography Artificial Intelligence
- Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
- Bioethical issues in imaging cancer in pregnancy
- Can artificial intelligence help predict the risk of pancreatic cancer using disease trajectories?
- Cancer in pregnancy: overview and epidemiology
- CANNOT B UIP
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
- ChatGPT and Physicians' Malpractice Risk
- ChatGPT in Research: Balancing Ethics, Transparency and Advancement
- Chatting or cheating? The impacts of ChatGPT and other artificial intelligence language models on nurse education
- CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
- Cinematic Rendering of Jejunum Gastrointestinal Stromal Tumor
- Clinical and chest radiographic features of missed lung cancer and their association with patient outcomes
- Clinical applications of artificial intelligence in radiology
- Combined CT and serum CA19-9 for stratifying risk for progression in patients with locally advanced pancreatic cancer receiving intraoperative radiotherapy
- Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum
- Comparing thoracic and abdominal subspecialists' follow-up recommendations for abdominal findings identified on chest CT
- Computed Tomography Urography: State of the Art and Beyond
- Continued Performance Improvement-What Practicing Surgeons Can Learn From Athletes
- COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training
- COVID-19: Findings in nuclear medicine from head to toe
- Cross-sectional review of US websites providing lung cancer screening recommendations following the 2021 US Preventive Services Task Force updates
- CT Evaluation of the Esophagus: The Role of CT Imaging and CT Imaging Findings in Diagnosing Esophageal Abnormalities
- CT image-based biomarkers acquired by AI-based algorithms for the opportunistic prediction of falls
- CT without borders: Comparison of diagnoses for abdominal pain from a teaching hospital in rural Kenya and a US academic medical center
- Current Concepts in the Imaging of Uterine Sarcomas
- Current state of radiomic research in pancreatic cancer: focusing on study design and reproducibility of findings
- Delayed cancer diagnosis in the pregnant patient: navigating a complex medical and ethical dilemma
- Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging
- Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study
- Diagnostic Accuracy of Unenhanced Computed Tomography for Evaluation of Acute Abdominal Pain in the Emergency Department
- Diagnostic performance of the "drooping" sign in CT diagnosis of exophytic renal angiomyolipoma
- DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation
- Differentiating peritoneal tuberculosis and peritoneal carcinomatosis based on a machine learning model with CT: a multicentre study
- Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecture
- Dual Energy-Derived Metrics for Differentiating Adrenal Adenomas From Nonadenomas on Single-Phase Contrast-Enhanced CT
- Ectopic mediastinal parathyroid: A case report of recurrent secondary hyperparathyroidism
- Editorial Comment: Meet BERT-The Newest Artificial Intelligence-Based Radiologist Extender
- Evaluating the performance of ChatGPT in medical physiology university examination of phase I MBBS
- Evaluation and Comparison of Two Media-Rich Radiology Apps Regarding Pathology of the Lumbar Spine: Lessons for Medical Education App Developers and Content Creators
- Evaluation of liver metastasis in patients with breast cancer: Comparison of single-phase abdominopelvic CT and multi-phase liver CT
- Exploring the Potential of Three-Dimensional Imaging, Printing, and Modeling in Pediatric Surgical Oncology: A New Era of Precision Surgery
- Fat Halo Sign (Submucosal Fat Accumulation)
- Gastrointestinal malignancies in pregnancy
- Gestational trophoblastic disease: an update
- Getting Generative AI Right
- High performance for bone age estimation with an artificial intelligence solution
- High performance for bone age estimation with an artificial intelligence solution
- How Chatbots and Large Language Model Artificial Intelligence Systems Will Reshape Modern Medicine: Fountain of Creativity or Pandora's Box?
- How to Avoid the Ethical Nightmares of Emerging Technology
- Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis
- Imaging evaluation of lymphoma in pregnancy with review of clinical assessment and treatment options
- Imaging Evaluation of the Living Liver Donor: A Systems-Based Approach
- Imaging modalities and optimized imaging protocols in pregnant patients with cancer
- Imaging spectrum of non-neoplastic and neoplastic conditions of the duodenum: a pictorial review
- Improving detection performance of hepatocellular carcinoma and interobserver agreement for liver imaging reporting and data system on CT using deep learning reconstruction
- Incorporating multi-stage spatial visual cues and active localization offset for pancreas segmentation
- Infarcts and ischemia in the abdomen: an imaging perspective with an emphasis on cross-sectional imaging findings
- Infective native arterial aneurysms and inflammatory abdominal aortic aneurysms: an overview with a focus on emergency settings
- Innovation Doesn't Have to Be Disruptive
- Integrating Theranostics Into Patient Care Pathways: AJR Expert Panel Narrative Review
- Intravascular pulmonary myxoid sarcoma incidentally detected by computed tomography
- Investigating the impact of intelligent personal assistants on the purchase intentions of Generation Z consumers: The moderating role of brand credibility
- IPMN-LEARN: A linear support vector machine learning model for predicting low-grade intraductal papillary mucinous neoplasms
- Is the radiomics-clinical combined model helpful in distinguishing between pancreatic cancer and mass-forming pancreatitis?
- Life Lessons on the Importance of Love and Friendship
- Liver Anatomy and Cross-Sectional Imaging Techniques: A Practical Approach
- Machine Learning and Artificial Intelligence in Surgical Research
- Malignant Epithelial Tumors of the Ovary: Pathogenesis and Imaging
- Medicine in the Era of Artificial Intelligence: Hey Chatbot, Write Me an H&P
- Mimics of cancer in pregnancy
- Moral Distress in Radiology: Frequency, Root Causes, and Countermeasures-Results of a National Survey
- Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics
- Multi-View Radiomics Feature Fusion Reveals Distinct Immuno-Oncological Characteristics and Clinical Prognoses in Hepatocellular Carcinoma
- Outcomes of Bosniak Classification Version 2019 Class IIF Cystic Renal Masses at Imaging Surveillance
- Pancreatic cancer: Advances and challenges
- Pancreatic Cancer: Genetic Conditions and Epigenetic Alterations
- Partnerships: Unleashing the Potential of Universities, Health Systems, and Other Experts to Improve Public Health and Radiologic Efficiency
- Performance of 2D-shear wave elastography in autoimmune hepatitis-primary biliary cholangitis overlap syndrome
- Performance of ChatGPT on a Radiology Board-style Examination: Insights into Current Strengths and Limitations
- Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer
- PET/MRI for evaluation of patients with pancreatic cancer
- PET/MRI in Gynecologic Malignancy
- POPDx: an automated framework for patient phenotyping across 392 246 individuals in the UK Biobank study
- Potential utility of risk stratification for multicancer screening with liquid biopsy tests
- Predictive role of radiomics features extracted from preoperative cross-sectional imaging of pancreatic ductal adenocarcinoma in detecting lymph node metastasis: a systemic review and meta-analysis
- Quo vadis Radiomics? Bibliometric analysis of 10-year Radiomics journey
- Radiomics and Radiogenomics of Ovarian Cancer: Implications for Treatment Monitoring and Clinical Management
- Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis
- Recognition of types and frequency of incidental findings in cancer staging CT should be essential for future artificial intelligence development
- Rethink reporting of evaluation results in AI
- Rise of ChatGPT: It May Be Time to Reassess How We Teach and Test Radiology Residents
- Segment Anything Model for Medical Images?
- Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network
- Significant Incidental Findings in the National Lung Screening Trial
- Social Media Platforms for Radiologists: Perks and Perils
- Solving Problems Due to Hurricane Maria and COVID-19: CT Trends in Puerto Rico Before, During, and Beyond Public Health Crises
- Spontaneous rupture of nontraumatic hepatic artery pseudoaneurysm
- Strategies for improving colorectal cancer detection with routine computed tomography
- Suspicious findings observed retrospectively on CT imaging performed before the diagnosis of pancreatic cancer
- Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
- The future of pharmacy: How AI is revolutionizing the industry
- The impact of artificial intelligence on the reading times of radiologists for chest radiographs
- The Promise of AI in Advancing Global Radiology
- The radiologist's role in a multidisciplinary approach to cancer in pregnancy
- The usefulness of preoperative CT in colon cancer staging: impact of radiologists' experience
- The value of CT-based energy imaging to discriminate dominant side lesions in primary aldosteronism
- The why, who, how, and what of communicating CT radiation risks to patients and healthcare providers
- Three-dimensional analysis of human pancreatic cancer specimens by phase-contrast based X-ray tomography - the next dimension of diagnosis
- TRANSWNET: Integrating Transformers into CNNS via Row and Column Attention for Abdominal Multi-Organ Segmentation
- Ultrahigh-Resolution Photon-Counting Detector CT of the Lungs: Association of Reconstruction Kernel and Slice Thickness With Image Quality
- Utility of dual energy CT angiography in the evaluation of acute non-variceal gastrointestinal hemorrhage: comparison with digital subtraction angiography
- Various congenital anomalies and anatomical variations of the spleen: a multimodality pictorial review
- Wandering liver, spleen, and kidney: what the radiologist needs to know
- Watching Innovation in Real Time: The Story of ChatGPT and Radiology
- What every CEO should know about generative AI
- What Lessons Can Radiologists Learn From the Holocaust Reparations Movement?
- White Paper: Best Practices in the Communication and Management of Actionable Incidental Findings in Emergency Department Imaging