- 18 F-FDG PET/CT of hepatocellular adenoma subtypes and review of literature
- 3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification
- 5 Rules to Manage AI’s Unintended Consequences
- A comprehensive radiologic review of abdominal and pelvic torsions
- A radiomic nomogram based on arterial phase of CT for differential diagnosis of ovarian cancer
- Ablation versus laparoscopic adrenalectomy for the treatment of aldosterone‑producing adenoma: a meta-analysis
- AI for radiographic COVID-19 detection selects shortcuts over signal
- Are asymptomatic gastrointestinal findings on imaging more common in COVID-19 infection? Study to determine frequency of abdominal findings of COVID-19 infection in patients with and without abdominal symptoms and in patients with chest-only CT scans
- Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial
- Assessing CT imaging features combined with CEA and CA125 levels to identify endometriosis-associated ovarian cancer
- Availability of a final abdominopelvic CT report before emergency department disposition: risk-adjusted outcomes in patients with abdominal pain
- Borderline epithelial ovarian tumors: what the radiologist should know
- Bosniak classification of cystic renal masses, version 2019: interpretation pitfalls and recommendations to avoid misclassification
- Building an Artificial Intelligence-Competent Surgical Workforce
- Cardiac Neoplasms: Radiologic-Pathologic Correlation
- Children and COVID-19 Vaccines
- Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer
- Communication and empathy skills: Essential requisites for patient-centered radiology care
- Computed Tomography: A Half-Century of Progress
- Computer-aided detection of colorectal polyps using a newly generated deep convolutional neural network: from development to first clinical experience
- CT-Radiomic Approach to Predict G1/2 Nonfunctional Pancreatic Neuroendocrine Tumor
- Current update on gallbladder carcinoma
- Current update on malignant epithelial ovarian tumors
- Current update on the molecular genetics and management of hereditary ovarian cancers: a primer for radiologists
- Deep Learning-Based Differentiation between Mucinous Cystic Neoplasm and Serous Cystic Neoplasm in the Pancreas Using Endoscopic Ultrasonography
- Dermatologists' Perspectives on Artificial Intelligence and Augmented Intelligence - A Cross-sectional Survey
- Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions
- Diagnostic performance of PET/CT and PET/MR in the management of ovarian carcinoma-a literature review
- Disrupting the Childcare Industry: Support for Early Career Radiologists and Our Leadership Pipeline
- Do oncologists prefer subspecialty radiology reports? A quality care study
- Early detection of pancreatic cancer using DNA-based molecular approaches
- End Blindness 2020 Award Winners include Five Foundation-Funded Investigators
- Equity and Artificial Intelligence in Surgical Care
- Evaluation of clinical and imaging biomarkers for the prediction of new onset diabetes following pancreatic resection
- GA-UNet: UNet-based framework for segmentation of 2D and 3D medical images applicable on heterogeneous datasets
- General Review on the Current Management of Incidental Findings on Cross-Sectional Imaging: What Guidelines to Use, How to Follow Them, and Management and Medical-Legal Considerations
- How Do You Solve a Problem like Incidentalomas (version 2.0)?
- Imaging complications of liver transplantation: a multimodality pictorial review
- Imaging during pregnancy: What the radiologist needs to know
- Imaging features of radiation-induced changes in the abdomen
- Imaging of abdominal and pelvic infections in the cancer patient
- Imaging of calcified hepatic lesions: spectrum of diseases
- Imaging of the Middle and Visceral Mediastinum
- Imaging of ureter: a primer for the emergency radiologist
- Incidental Adrenal Nodules
- Incidental Breast Findings on Computed Tomography and MR Imaging
- Incidental Liver Findings on Cross-sectional Imaging
- Incidental Lung Nodules on Cross-sectional Imaging: Current Reporting and Management
- Incidental Ovarian and Uterine Findings on Cross-sectional Imaging
- Incidental Pancreatic Cysts on Cross-Sectional Imaging
- Incidental Splenic Findings on Cross-Sectional Imaging
- Incidental Thyroid Nodules on Imaging: Relevance and Management
- Man Versus Machine? Radiologists and Artificial Intelligence Work Better Together
- Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysis
- Mucinous cystic neoplasms of the pancreas: high-resolution cross-sectional imaging features with clinico-pathologic correlation
- Multi-scale U-like network with attention mechanism for automatic pancreas segmentation
- Necessity of Coronary CT Scans
- Pancreatic cancer detection and characterization: state of the art and radiomics
- Preoperative differentiation of serous cystic neoplasms from mucin-producing pancreatic cystic neoplasms using a CT-based radiomics nomogram
- Proclivity to Explore Locally Advanced Pancreas Cancer Is Not Associated with Surgeon Volume
- Radiomics Analysis for Predicting Malignant Potential of Intraductal Papillary Mucinous Neoplasms of the Pancreas: Comparison of CT and MRI
- Radiomics in stratification of pancreatic cystic lesions: Machine learning in action
- Role of social and non-social online media: how to properly leverage your internet presence for professional development and research
- Society of Abdominal Radiology Disease Focused Panel Survey on Clinical Utilization of Incidental Pancreatic Cyst Management Recommendations and Template Reporting
- Spectrum and Relevance of Incidental Bowel Findings on Computed Tomography
- The automation of doctors and machines: A classification for AI in medicine (ADAM framework)
- The CT scout view: complementary value added to abdominal CT interpretation
- The Entrepreneurial Mind-Set: A Framework for Problem-Solving and Creativity at Work and in Life
- The Incidental Renal Mass- Update on Characterization and Management
- The pancreatic cancer genome revisited
- The role of sarcopenia in the pancreatic adenocarcinoma
- Triphasic Computed Tomography Scan as a Non-Invasive Imaging Tool in Differentiating Benign and Malignant Focal Liver Lesion
- Update on Incidental Cross-sectional Imaging Findings, An Issue of Radiologic Clinics of North America, 1st Edition
- Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and histology in non-small cell lung cancer
- Utility of chest CT for differentiating primary and secondary achalasia
- Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation
- Value of helical computed tomography in the early diagnosis of esophageal foreign bodies in adults
- Where technology succeeds and fails in education
Everything you need to know about Computed Tomography (CT) & CT Scanning