- "Many roads lead to Rome and the Artificial Intelligence only shows me one road": an interview study on physician attitudes regarding the implementation of computerised clinical decision support systems
- ACR Appropriateness Criteria Imaging of Facial Trauma Following Primary Survey
- Acutely presenting congenital chest lesions: a primer for the radiologist
- AI can predict missed appointments. How can hospitals use that data for better care?
- AI recognition of patient race in medical imaging: a modelling study
- Altered thalamic functional connectivity and cerebral blood flow in insomnia disorder: a resting-state functional magnetic resonance imaging study
- An Objective Framework for Evaluating Unrecognized Bias in Medical AI Models Predicting COVID-19 Outcomes
- Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future
- Artificial Intelligence Enabling Radiology Reporting
- Artificial Intelligence for Quality Improvement in Radiology
- Artificial Intelligence in Cardiothoracic Imaging
- Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities
- Artificial Intelligence-Enabled Electrocardiogram for Atrial Fibrillation Identifies Cognitive Decline Risk and Cerebral Infarcts
- As problems emerge in medical AI models, research points to a new way to strip them of bias
- Aspirin Use to Prevent Cardiovascular Disease: US Preventive Services Task Force Recommendation Statement
- Automated CT reformations reduce time and variability in trauma panscan exam completion
- Basic Artificial Intelligence Techniques: Evaluation of Artificial Intelligence Performance
- Basic Artificial Intelligence Techniques: Machine Learning and Deep Learning
- Basic Artificial Intelligence Techniques: Natural Language Processing of Radiology Reports
- Can Artificial Intelligence Help See Cancer in New, and Better, Ways?
- Cinematic Rendering: Novel Tool for Improving Pancreatic Cancer Surgical Planning
- Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen
- Clinical Artificial Intelligence Applications in Radiology: Neuro
- Clinical Artificial Intelligence Applications: Breast Imaging
- Clinical Artificial Intelligence Applications: Musculoskeletal
- Clinical importance of second-opinion interpretations of abdominal imaging studies in a cancer hospital and its impact on patient management
- Comparison of Computed Tomography Features of Gastric and Small Bowel Gastrointestinal Stromal Tumors With Different Risk Grades
- Comprehensive review of acute small bowel ischemia: CT imaging findings, pearls, and pitfalls
- Computed Tomography Assessment of Sarcopenic Myosteatosis for Predicting Overall Survival in Colorectal Carcinoma: Systematic Review
- Computed tomography-defined body composition as prognostic markers for unfavourable outcomes and in-hospital mortality in coronavirus disease 2019
- Computer-aided differentiates benign from malignant IPMN and MCN with a novel feature selection algorithm
- Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study
- Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation
- Contrast Agent Pooling (C.A.P.) sign and imminent cardiac arrest: a retrospective study
- Covid Visual Assessment Scale ("Co.V.A.Sc."): quantification of COVID-19 disease extent on admission chest computed tomography (CT) in the prediction of clinical outcome-a retrospective analysis of 273 patients
- CT findings in renovascular injuries following abdominal trauma: a pictorial review
- CT Findings of Upper Urinary Tract Lesions in IgG4-Related Disease: Comparison With Urothelial Carcinoma
- CT imaging spectrum of infiltrative renal diseases
- CT or Invasive Coronary Angiography in Stable Chest Pain
- CT radiomics signature: a potential biomarker for fibroblast activation protein expression in patients with pancreatic ductal adenocarcinoma
- CT-Based Radiomics Analysis to Predict Malignancy in Patients with Intraductal Papillary Mucinous Neoplasm (IPMN) of the Pancreas
- Current imaging of PE and emerging techniques: is there a role for artificial intelligence?
- Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study
- Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter
- Diagnosis and Management of Cancer Risk in the Gastrointestinal Hamartomatous Polyposis Syndromes: Recommendations From the US Multi-Society Task Force on Colorectal Cancer
- Diagnosis and treatment of diverticular hemorrhage in small intestine: A retrospective study
- Diagnostic performance of triple-contrast versus single-contrast multi-detector computed tomography for the evaluation of penetrating bowel injury
- Dual energy CT angiography for lower extremity trauma: comparison with conventional CT
- Dual-energy CT of acute bowel ischemia
- Early Readout on Overall Survival of Patients With Melanoma Treated With Immunotherapy Using a Novel Imaging Analysis
- Emphysema Progression at CT by Deep Learning Predicts Functional Impairment and Mortality: Results from the COPDGene Study
- Endemic Thoracic Infections in Latin America and the Caribbean
- Endemic Thoracic Infections in Southeast Asia
- Endemic Thoracic Infections in Sub-Saharan Africa
- Errors in MDCT diagnosis of acute mesenteric ischemia
- Evaluation of the Incremental Value of a Coronary Artery Calcium Score Beyond Traditional Cardiovascular Risk Assessment: A Systematic Review and Meta-analysis
- Evolution of multiorgan segmentation techniques from traditional to deep learning in abdominal CT images - A systematic review
- External Validation of Deep Learning Algorithms for Radiologic Diagnosis: A Systematic Review
- Extra-abdominal desmoid fibromatosis: Cryoablation versus traditional therapies
- Facebook Live: One Year of Traditional Discussions vs. Case Conferences
- FDA-approved deep learning software application versus radiologists with different levels of expertise: detection of intracranial hemorrhage in a retrospective single-center study
- Federated Learning in Medical Imaging: Part I: Toward Multicentral Health Care Ecosystems
- Federated Learning in Medical Imaging: Part II: Methods, Challenges, and Considerations
- Frequency and Characteristics of Social Media Use among General Surgery Trainees
- Future Directions in Artificial Intelligence
- Growing Use and Confidence in Artificial Intelligence for Care Delivery
- High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning
- How Algorithms Could Improve Primary Care
- How to Use YouTube for Radiology Education
- Imaging of Neuroendocrine Neoplasms: Monitoring Treatment Response- AJR Expert Panel Narrative Review
- Implicit data crimes: Machine learning bias arising from misuse of public data
- Incidental Findings in POCUS: "Chance favors the prepared mind"
- Influence of Baseline CT Body Composition Parameters on Survival in Patients with Pancreatic Adenocarcinoma
- Integrative Predictive Models of Computed Tomography Texture Parameters and Hematological Parameters for Lymph Node Metastasis in Lung Adenocarcinomas
- Intestinal pneumatosis: differential diagnosis
- Intraprocedural uterine position reorientation during uterine fibroid embolization: a case report
- Invasive Fungal Pneumonia in Immunocompromised Patients
- IV Contrast Material for PET/CT: Counterpoint-Critical Concerns Remain
- IV Contrast Material for PET/CT: Point-Putting the CT Into PET/CT
- Machine learning approaches to predicting no-shows in pediatric medical appointment
- Malignant Small Bowel Neoplasms:a review of post-contrast multiphasic multidetector computed tomography
- Measuring trends in Artificial Intelligence
- Mesenteric ischemia: a radiologic perspective
- MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
- Mortality estimation using APACHE and CT scores with stepwise linear regression method in COVID-19 intensive care unit: A retrospective study
- Multiinstitutional Evaluation of the Liver Surface Nodularity Score on CT for Staging Liver Fibrosis and Predicting Liver-Related Events in Patients With Hepatitis C
- Multimodality Multisystem Imaging of Pregnancy-Related Changes: Featuring Neurologic, Cardiothoracic, Breast, Gynecologic, and Musculoskeletal Issues
- Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy
- Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer
- New and emerging technology in the diagnosis and treatment of pancreatic cysts
- Nonimaging Diagnostic Tests for Pneumonia
- Non-occlusive mesenteric ischemia (NOMI) and prognostic signs at CT: reperfusion or not reperfusion that is the question!
- Non-radiologist perception of the use of artificial intelligence (AI) in diagnostic medical imaging reports
- Nontuberculous Mycobacterial Infections
- North American Endemic Fungal Infections
- Oncological Applications of Deep Learning Generative Adversarial Networks
- Optimization of Radiology Workflow with Artificial Intelligence
- Payers and Providers Seek Value-Based Care, but Progress Is Slow
- PE MIMICS: a structured approach for the emergency radiologist in the evaluation of chest pain
- Perspectives of Patients About Artificial Intelligence in Health Care
- PET/CT: Essentials for Clinical Practice
- Pneumatosis intestinalis in abdominal CT: predictors of short-term mortality in patients with clinical suspicion of mesenteric ischemia
- Podcasts and Radiology: Promoting Education and the Doctor-Patient Relationship through Storytelling
- Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images
- Predicting Perceived Reporting Complexity of Abdominopelvic Computed Tomography With Deep Learning
- Prediction of Aortic Contrast Enhancement on Dynamic Hepatic Computed Tomography-Performance Comparison of Machine Learning Methods and Simulation Software
- Prediction of future healthcare expenses of patients from chest radiographs using deep learning: a pilot study
- Preface: Artificial Intelligence in Radiology: Opportunities and Challenges
- Preparing Clinicians for a Clinical World Influenced by Artificial Intelligence
- Pulmonary Infections in People Living with HIV
- Radiographic Imaging of Community-Acquired Pneumonia: A Case-Based Review
- Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies
- Regulatory Issues and Challenges to Artificial Intelligence Adoption
- Review and Future/Potential Application of Mixed Reality Technology in Orthopaedic Oncology
- Review of Thoracic Imaging Manifestations of COVID-19 and Other Pathologic Coronaviruses
- Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
- Selection with Variation in Diagnostic Skill: Evidence from Radiologists
- Separating Hope from Hype: Artificial Intelligence Pitfalls and Challenges in Radiology
- Short-, Mid-, and Long-Term Strategies to Manage the Shortage of Iohexol
- Small bowel obstruction and intestinal ischemia: emphasizing the role of MDCT in the management decision process
- Structural Prior Models for 3-D Deep Vessel Segmentation
- Subtle pitfalls in the search for faster medical imaging
- The future of early cancer detection
- The future of radiology: What if artificial intelligence is really as good as predicted?
- The reformatted sagittal spine on abdominal CT: structured approach to non-traumatic pathology
- The role of imaging in diagnosis and management of malignant peritoneal mesothelioma: a systematic review
- Thoracic Infections in Solid Organ Transplants: Radiological Features and Approach to Diagnosis
- Tuberculosis of abdominal lymph nodes, peritoneum, and GI tract: a malignancy mimic
- Upper and Lower Tract Urothelial Imaging Using Computed Tomography Urography
- Upstream Machine Learning in Radiology
- Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas
- Using Direct Volume Rendering for Augmented Reality in Resource-constrained Platforms
- Utilization and Yield of CT Urography: Are the American Urological Association Guidelines for Imaging of Patients With Asymptomatic Microscopic Hematuria Being Followed?
- Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis
- Validation pipeline for machine learning algorithm assessment for multiple vendors
- Value-added Opportunistic CT Screening: State of the Art
- Viral Pneumonias
- Virtual Non-contrast Imaging in The Abdomen and The Pelvis: An Overview
- What does it take to be the best university or hospital? Research is the key and money matters
- Whole body CT for trauma reduces emergency department time for patients with lower extremity fractures
Everything you need to know about Computed Tomography (CT) & CT Scanning