Journal Club ❯ May 2024
- "Rule out appendicitis": a Canadian emergency radiology perspective on medicolegal risks, imaging pitfalls, and strategies to improve care
- 3D MRI of the Wrist: Anatomy and Clinical Applications With Comparison to 2D MRI
- A Case of Pancreatic Schwannoma, a Rare and Often-Misdiagnosed Entity
- A Learning Program for Treatment Recommendations by Molecular Tumor Boards and Artificial Intelligence
- A lightweight network for abdominal multi-organ segmentation based on multi-scale context fusion and dual self-attention
- A Narrative Review on 3D Visualization Techniques in Neurosurgical Education, Simulation and Planning
- A System for Mixed-Reality Holographic Overlays of Real-Time Rendered 3D-Reconstructed Imaging Using a Video Pass-through Head-Mounted Display-A Pathway to Future Navigation in Chest Wall Surgery
- Abdominal computed tomography scoring systems and experienced radiologists in the radiological diagnosis of small bowel and mesenteric injury
- Academic Surgery in the Era of Large Language Models: A Review
- Accuracy of an Artificial Intelligence Chatbot's Interpretation of Clinical Ophthalmic Images
- Acute Appendicitis-What's Old Is New Again
- Age and Computed Tomography and Invasive Coronary Angiography in Stable Chest Pain: A Prespecified Secondary Analysis of the DISCHARGE Randomized Clinical Trial
- AI for Detection of Tuberculosis: Implications for Global Health
- AI image generators often give racist and sexist results: can they be fixed?
- AI Imaging Analysis Needs Evaluation Before Implementation
- AI in radiology: Legal responsibilities and the car paradox
- AI-generated CT body composition biomarkers associated with increased mortality risk in socioeconomically disadvantaged individuals
- AI-Generated Draft Replies Integrated Into Health Records and Physicians' Electronic Communication
- AI's Threat to the Medical Profession
- An improvement method for pancreas CT segmentation using superpixel-based active contour
- Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT
- Appendiceal wall thickness and Alvarado score are predictive of acute appendicitis in the patients with equivocal computed tomography findings
- Artificial Intelligence and Ethical Frameworks in Pediatrics
- Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreatic cancer
- Artificial Intelligence for Breast Cancer Risk Assessment
- Artificial Intelligence for Cardiovascular Care - Part 1: Advances: JACC Review Topic of the Week
- Artificial intelligence for early detection of renal cancer in computed tomography: A review
- Artificial Intelligence for Identification of Images with Active Bleeding in Mesenteric and Celiac Arteries Angiography
- Artificial Intelligence in Cardiovascular Care - Part 2: Applications: JACC Review Topic of the Week
- Artificial Intelligence in Radiology: Bridging Global Health Care Gaps through Innovation and Inclusion
- Artificial intelligence in the detection of non-biological materials
- Aspects and outcomes of surveillance for individuals at high-risk of pancreatic cancer
- Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis
- Beyond pulmonary embolism: Alternative diagnosis and incidental findings on CT pulmonary angiography in sickle cell disease
- Beyond the AJR: Accuracy of Unenhanced Abdominopelvic CT in the Emergency Department-Quantifying What the Radiologist Already Knows
- Cancer Care in the Era of Artificial Intelligence
- Cancer screening with multicancer detection tests: A translational science review
- Cancer Stage Compared With Mortality as End Points in Randomized Clinical Trials of Cancer Screening: A Systematic Review and Meta-Analysis
- Cinematic Rendering for Differentiation of Pancreatic Neuroendocrine Tumor From Intrapancreatic Accessory Spleen
- Cinematic Rendering of Pancreatic Neuroendocrine Tumours: Opportunities for Clinical Implementation: Part 1: Tumour Detection and Characterization
- Cinematic Rendering of Pancreatic Neuroendocrine Tumours: Opportunities for Clinical Implementation: Part 2: Preoperative Planning and Evaluation of Metastatic Disease
- Clinical Applications, Challenges, and Recommendations for Artificial Intelligence in Musculoskeletal and Soft-Tissue Ultrasound: AJR Expert Panel Narrative Review
- Clinical characteristics and outcomes of adrenal hemorrhage
- Clinical Integration of Artificial Intelligence for Breast Imaging
- Clinical Reasoning of a Generative Artificial Intelligence Model Compared With Physicians
- Comparative Evaluation of LLMs in Clinical Oncology
- Computed Tomography in Infectious Endocarditis
- Contrast Agent Dynamics Determine Radiomics Profiles in Oncologic Imaging
- Decoupled SculptorGAN Framework for 3D Reconstruction and Enhanced Segmentation of Kidney Tumors in CT Images
- Deep causal learning for pancreatic cancer segmentation in CT sequences
- Demographic bias in misdiagnosis by computational pathology models
- Developing a Radiomics Atlas Dataset of normal Abdominal and Pelvic computed Tomography (RADAPT)
- Diagnosis and Management of Acute Appendicitis in Adults: A Review
- Differentiation of perforated from nonperforated appendicitis at CT
- Digital twins for health: a scoping review
- Dual-Energy Computed Tomography Applications in Rheumatology
- Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation
- Early detection of pancreatic cancer and AI risk partitioning
- Effectiveness of an Artificial Intelligence-Enabled Intervention for Detecting Clinical Deterioration
- Efficiency, accuracy, and health professional's perspectives regarding artificial intelligence in radiology practice: A scoping review
- Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimation
- Erdheim-Chester Disease Occult on Radiographs and CT but Visible on MRI and PET
- Evaluating complete response prediction rates in locally advanced rectal cancer with different radiomics segmentation approaches
- Expanded experience with cardiovascular black blood cinematic rendering
- Exploring tumor heterogeneity in colorectal liver metastases by imaging: Unsupervised machine learning of preoperative CT radiomics features for prognostic stratification
- Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets
- FedIOD: Federated Multi-Organ Segmentation From Partial Labels by Exploring Inter-Organ Dependency
- Foresight-a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study
- From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer
- Generalizing deep learning models for medical image classification
- GPT versus Resident Physicians - A Benchmark Based on Official Board Scores
- GPT-4 in a Cancer Center - Institute-Wide Deployment Challenges and Lessons Learned
- Health Care Cost Reductions with Machine Learning-Directed Evaluations during Radiation Therapy - An Economic Analysis of a Randomized Controlled Study
- HeAR - Health Acoustic Representations
- Hounsfield units: Future applications in clinical practice, radiomics, and Artificial Intelligence
- How Academic Medical Centers Govern AI Prediction Tools in the Context of Uncertainty and Evolving Regulation
- How AI Features Can Change Team Dynamics
- How to Succeed as a Radiology Fellow
- Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer
- Inter-reader agreement of pancreatic adenocarcinoma resectability assessment with photon counting versus energy integrating detector CT
- Iodinated Contrast and Nephropathy: Does It Exist and What Is the Actual Evidence?
- Iodine and Gadolinium Contrast Reactions: What Is the Risk and Role of Premedication, Abbreviated Protocols, Prior History of Reactions, and Cross-Reactivity?
- Leading a Company That Can Thrive in a Chaotic World
- Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning
- Locally Advanced Pancreas Cancer, Is There a Role for Surgery?
- Machine Learning-Based Prediction of Hospitalization During Chemoradiotherapy With Daily Step Counts
- Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT
- Management of Diverticulitis: A Review
- Measuring the Impact of AI in the Diagnosis of Hospitalized Patients: A Randomized Clinical Vignette Survey Study
- Multiscale and multiperception feature learning for pancreatic lesion detection based on noncontrast CT
- Nazism and the Journal
- Neoplasms of the Appendix: Pictorial Review with Clinical and Pathologic Correlation
- Nephrographic and pyelographic analysis of CT urography: differential diagnosis
- Nvidia's Blackwell AI 'superchip' is the most powerful yet
- Optimal Surveillance Interval of Branch Duct Intraductal Papillary Mucinous Neoplasm of the Pancreas
- Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features
- Pancreatic Cancer Screening among High-risk Individuals
- Partnerships: Unleashing the Potential of Universities, Health Systems, and Other Experts to Improve Public Health and Radiologic Efficiency
- Photon-Counting Detector CT Virtual Monoenergetic Images for Coronary Artery Stenosis Quantification: Phantom and In Vivo Evaluation
- Potential Applications and Impact of ChatGPT in Radiology
- Practical Guide to Machine Learning and Artificial Intelligence in Surgical Education Research
- Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study
- Quality, Accuracy, and Bias in ChatGPT-Based Summarization of Medical Abstracts
- Quantitative Evaluation of Large Language Models to Streamline Radiology Report Impressions: A Multimodal Retrospective Analysis
- Radiologic evaluation of ankle fracture malunions of the fibula
- Radiologists Should Be Compensated for Participation in Multidisciplinary Conferences
- Radiology: Cardiothoracic Imaging Highlights 2023
- Radiomics and machine learning for renal tumor subtype assessment using multiphase computed tomography in a multicenter setting
- Realistic three-dimensional imaging of injuries in forensic medicine - Survey-based method comparison of CRT and VRT
- Reporting Use of AI in Research and Scholarly Publication-JAMA Network Guidance
- Review of appendicitis: routine, complicated, and mimics
- Scaling Adoption of Medical AI - Reimbursement from Value-Based Care and Fee-for-Service Perspectives
- Sepsis patients' renal manifestation on contrast-enhanced CT
- Short-Term Strategies for Augmenting the National Radiologist Workforce
- Spectrum of imaging findings in Salmonella infections
- Temporal progression of pancreatic cancer computed tomography findings until diagnosis: A large-scale multicenter study
- The AI Maturity Roadmap: A Framework for Effective and Sustainable AI in Health Care
- The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation
- The disproportionate impact of peer learning on emergency radiology
- The Impact of Task Set-up in Algorithm Design: Regression versus Classification
- The Role of Artificial Intelligence in Cardiac Imaging
- Thyroid abnormalities identified on CT screening for lung cancer
- Transparent medical image AI via an image-text foundation model grounded in medical literature
- Trials of AI Interventions Must Be Preregistered
- Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education
- Understanding Radiological Journal Views and Policies on Large Language Models in Academic Writing
- Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
- Who's Training Whom?
- Will Generative AI Tools Improve Access to Reliable Health Information?