- 4 Actions to Reduce Medical Errors in U.S. Hospitals
- A CT-Based Radiomics Nomogram in Predicting the Postoperative Prognosis of Colorectal Cancer: A Two-center Study
- A dual meta-learning framework based on idle data for enhancing segmentation of pancreatic cancer
- A Scoping Review of the Classification, Diagnosis, and Management of Hepatic Adenomas
- Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model
- Acute Upper Non-variceal and Lower Gastrointestinal Bleeding
- AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care
- AI is helping treat healthcare as if it's a supply chain problem
- AI model uses electronic health records to identify people at high risk for pancreatic cancer
- An assessment of liver lesions using a combination of CEUS LI-RADS and AFP
- An Effective Semi-supervised Approach for Liver CT Image Segmentation
- Artificial Intelligence Applications on Restaging [18F]FDG PET/CT in Metastatic Colorectal Cancer: A Preliminary Report of Morpho-Functional Radiomics Classification for Prediction of Disease Outcome
- Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program
- Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis
- Assessment of Machine Learning-Based Medical Directives to Expedite Care in Pediatric Emergency Medicine
- Association of standardized radiology reporting and management of abdominal CT and MRI with diagnosis of pancreatic cancer
- Automated detection of pulmonary embolism from CT-angiograms using deep learning
- Automatic coronary plaque detection, classification, and stenosis grading using deep learning and radiomics on computed tomography angiography images: a multi-center multi-vendor study
- Basic principles AI simplified for a Medical Practitioner: Pearls and Pitfalls in Evaluating AI algorithms
- Bladder paragangliomas: a pictorial review
- BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
- Cinematic Rendering: Novel Tool for Improving Pancreatic Cancer Surgical Planning
- Clinical decisions using AI must consider patient values
- Collaboration to Improve Colorectal Cancer Screening Using Machine Learning
- Colonoscopy Versus Catheter Angiography for Lower Gastrointestinal Bleeding After Localization on CT Angiography
- Consensus Statement on Mandatory Measurements for Pancreatic Cancer Trials for Patients With Resectable or Borderline Resectable Disease (COMM-PACT-RB): A Systematic Review and Delphi Consensus Statement
- Conventional, functional and radiomics assessment for intrahepatic cholangiocarcinoma
- Correlation and prognostic value of CT-detected extramural venous invasion and pathological lymph-vascular invasion in colon cancer
- CT or Invasive Coronary Angiography in Stable Chest Pain
- Deep Learning Prediction of Ovarian Malignancy at US Compared with O-RADS and Expert Assessment
- Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumors
- Differentiation of mucinous cysts and simple cysts of the liver using preoperative imaging
- Drug-induced bowel complications and toxicities: imaging findings and pearls
- Dual-Energy CT and Cinematic Rendering to Improve Assessment of Pelvic Fracture Instability
- Emerging artificial intelligence methods for fighting lung cancer: a survey
- Errors, discrepancies and underlying bias in radiology with case examples: a pictorial review
- Fixing Data Overload in Health Care
- From Toy Story to CT Scans: Lessons From Pixar for Radiology
- Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports
- High-resolution CT findings of pulmonary infections in patients with hematologic malignancy: comparison between patients with or without hematopoietic stem cell transplantation
- How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules
- How artificial intelligence improves radiological interpretation in suspected pulmonary embolism
- How Artificial Intelligence Use Is Expanding in Health Care
- How Augmented Reality Can - and Can't - Help Your Brand
- How Health Systems Decide to Use Artificial Intelligence for Clinical Decision Support
- Imaging Assessment of Pancreatic Cancer Resectability After Neoadjuvant Therapy: AJR Expert Panel Narrative Review
- Imaging findings of gastrointestinal tract tumors in children and adolescents
- Imaging findings of spontaneous intraabdominal hemorrhage: neoplastic and non-neoplastic causes
- Immune Checkpoint Inhibitor Use in Solid Organ Transplant Recipients: A Systematic Review
- Implication of ERBB2 as a Predictive Tool for Survival in Patients with Pancreatic Cancer in Histological Studies
- Implicit data crimes: Machine learning bias arising from misuse of public data
- Initial Results from Mobile Low-Dose Computerized Tomographic Lung Cancer Screening Unit: Improved Outcomes for Underserved Populations
- Integrating circulating-free DNA (cfDNA) analysis into clinical practice: opportunities and challenges
- Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts
- Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variables
- Machine learning outperforms clinical experts in classification of hip fractures
- Machine learning-based combined nomogram for predicting the risk of pulmonary invasive fungal infection in severely immunocompromised patients
- Man Versus Machine? Radiologists and Artificial Intelligence Work Better Together
- Management of incidental adrenal nodules: a survey of abdominal radiologists conducted by the Society of Abdominal Radiology Disease-Focused Panel on Adrenal Neoplasms
- Medical image segmentation with 3D convolutional neural networks: A survey
- Medical imaging education opportunities for junior doctors and non-radiologist clinicians: A review
- MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
- More From Moore's Law: The Journey to Toy Story and Implications for Radiology
- Moving Toward Seamless Interinstitutional Electronic Image Transfer
- Multi-organ Segmentation Network with Adversarial Performance Validator
- Non-radiologist perception of the use of artificial intelligence (AI) in diagnostic medical imaging reports
- Overcoming the C-Suite's Distrust of AI
- Pancreatic Cancer Detection using Machine and Deep Learning Techniques
- Pancreatic Cancer: Pathogenesis, Screening, Diagnosis and Treatment
- Payers and Providers Seek Value-Based Care, but Progress Is Slow
- Percutaneous Left Atrial Appendage Closure: Review of Anatomy, Imaging, and Outcomes
- Performance of Radiomics Models Based on Coronary Computed Tomography Angiography in Predicting The Risk of Major Adverse Cardiovascular Events Within 3 Years: A Comparison Between the Pericoronary Adipose Tissue Model and the Epicardial Adipose Tissue Mo
- Perihilar cholangiocarcinoma: What the radiologist needs to know
- Pictorial review of computed tomography features of diffuse cystic lung disease
- Preparing Clinicians for a Clinical World Influenced by Artificial Intelligence
- Preventing Delayed and Missed Care by Applying Artificial Intelligence to Trigger Radiology Imaging Follow-up
- Primary Care Visit Cadence Based on Risk: A Comparison of Machine Learning and Provider Judgment
- Prognostic stratification in patients with pancreatic ductal adenocarcinoma after curative resection based on preoperative pancreatic contrast-enhanced CT findings
- Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the AJR Special Series on AI Applications
- Radiology Without Borders: Identifying Global Reach of Radiology Social Media in Africa
- Radiomics in medical imaging: pitfalls and challenges in clinical management
- Radiomics predicts the prognosis of patients with locally advanced breast cancer by reflecting the heterogeneity of tumor cells and the tumor microenvironment
- Results of 10-year mobile low-dose computed tomography screenings for lung cancer in Shimane, Japan
- Self Pre-training with Masked Autoencoders for Medical Image Analysis
- Small bowel neuroendocrine neoplasm: what surgeons want to know
- Society for Vascular Surgery (SVS) and Society of Thoracic Surgeons (STS) reporting standards for type B aortic dissections
- Standardized APIs Could Finally Make It Easy to Exchange Health Records
- Study protocol for a multi-institutional prospective surveillance study among kindreds with familial pancreatic cancer and individuals with hereditary pancreatic cancer syndrome: The Diamond Study
- Technology-enabled Hospital at Home: Innovation for Acute Care at Home
- Ten Years of Choosing Wisely to Reduce Low-Value Care
- The "Ecosystem as a Service (EaaS)" approach to advance clinical artificial intelligence (cAI)
- The Business of Artificial Intelligence in Radiology Has Little to Do With Radiologists
- The disruptive radiologist
- The future of early cancer detection
- The good, the bad, and the ugly: uncommon CT appearances of pheochromocytoma
- The impact of radiomics in diagnosis and staging of pancreatic cancer
- The Need for Medical Artificial Intelligence That Incorporates Prior Images
- The Power of Natural Language Processing
- The prognosis of different distant metastases pattern in malignant tumors of the adrenal glands: A population-based retrospective study
- True innovation requires big tech, academia and government to work together
- Tumor enhancement ratio on preoperative abdominal contrast-enhanced CT scan for predicting recurrence risk in stage II colon cancer
- Twists and turns in acute abdomen: imaging spectrum of torsions and volvulus
- UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation
- Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications
- Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study
- Value of Second-Opinion Interpretation of Outside-Facility Breast Imaging Studies to a Radiology Department and Cancer Center
Everything you need to know about Computed Tomography (CT) & CT Scanning