- 2022 ACC/AHA Guideline for the Diagnosis and Management of Aortic Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines
- A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
- A dual branch and fine-grained enhancement network for pancreatic tumor segmentation in contrast enhanced CT images
- A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation
- Access to cardiac PET/CT by sarcoidosis patients and cost-effectiveness analysis of cardiac PET/MR compared to the standard of care
- ACR Appropriateness Criteria Nontraumatic Aortic Disease
- Acute Abdominal Pain Following Optical Colonoscopy: CT Findings and Clinical Considerations
- Adult Pancreatoblastoma: Report of 3 new Cases With Genetic Diversity and Autopsy Findings
- Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
- AI in the hands of imperfect users
- An accurate prediction of the origin for bone metastatic cancer using deep learning on digital pathological images
- Aortic dimensions by multi-detector computed tomography vs. echocardiography
- Applications of Artificial Intelligence in Urological Oncology Imaging: More Data Are Needed
- Artificial intelligence in adrenal imaging: A critical review of current applications
- Artificial intelligence in diagnostic and interventional radiology: Where are we now?
- Artificial intelligence in emergency radiology: A review of applications and possibilities
- Artificial intelligence in musculoskeletal oncology imaging: A critical review of current applications
- Artificial intelligence: A critical review of applications for lung nodule and lung cancer
- Artificial intelligence: A review of current applications in hepatocellular carcinoma imaging
- Assessment of Radiology Artificial Intelligence Software: A Validation and Evaluation Framework
- Association Between Surgical Indication and Outcomes for Outpatient Adrenalectomy
- Association of Thoracic Aortic Aneurysm Size With Long-term Patient Outcomes: The KP-TAA Study
- Augmented Reality With Cinematic Rendered 3-Dimensional Images From Volumetric Computed Tomography Data
- Automatic multi-tissue segmentation in pancreatic pathological images with selected multi-scale attention network
- Blunt trauma of the pancreas and biliary tract: a multimodality imaging approach to diagnosis
- Borderline Resectable Pancreatic Cancer: Challenges for Clinical Management
- Can a chest HRCT-based crash course on COVID-19 cases make inexperienced thoracic radiologists readily available to face the next pandemic?
- Carotid body tumor: a case report and literature review
- Challenges in evaluating the accuracy of AI-containing digital triage systems: A systematic review
- Chest X-ray-based opportunistic screening of sarcopenia using deep learning
- Classification of pancreatic cystic neoplasms using radiomic feature analysis is equivalent to an experienced academic radiologist: a step toward computer-augmented diagnostics for radiologists
- Comparison of image quality and pancreatic ductal adenocarcinoma conspicuity between the low-kVp and dual-energy CT reconstructed with deep-learning image reconstruction algorithm
- Computed tomography imaging of septic shock. Beyond the cause: the "CT hypoperfusion complex". A pictorial essay
- Computed tomography radiomics in growth prediction of pulmonary ground-glass nodules
- Coronary Artery Stent Evaluation by CTA: Impact of Deep Learning Reconstruction and Subtraction Technique
- CT imaging findings of complications of optical colonoscopy
- CT of Castleman disease in the mediastinum
- CT of malignant peripheral nerve sheath tumor
- CT predictors of outcomes in patients with connective tissue disease and progressive lung fibrosis
- CT Radiomics and Whole Genome Sequencing in Patients with Pancreatic Ductal Adenocarcinoma: Predictive Radiogenomics Modeling
- CT radiomics for differentiating oncocytoma from renal cell carcinomas: Systematic review and meta-analysis
- CT signs of hypovolemic shock complex in patients with non-traumatic shock
- CT-derived body composition measurements as predictors for neoadjuvant treatment tolerance and survival in gastroesophageal adenocarcinoma
- Current and future colorectal cancer screening strategies
- DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
- Detection of pancreatic cancer with two- and three-dimensional radiomic analysis in a nationwide population-based real-world dataset
- Development of a Machine Learning Model for Sonographic Assessment of Gestational Age
- Discrepancies in Measurement of the Thoracic Aorta: JACC Review Topic of the Week
- DTUnet: A Transformer-based UNet Combined with DenseASPP Module for Pancreas Segmentation
- Dual encoder network with transformer-CNN for multi-organ segmentation
- Editorial Comment: Adrenal Nodules (< 4 cm) With Heterogeneous Microscopic Fat-Not a Dilemma
- Editorial Comment: Avoiding Pitfalls in the Diagnosis of Intestinal Ischemia
- Emerging Technology in Musculoskeletal MRI and CT
- Endometriosis: A multimodal imaging review
- Extramedullary Hematopoiesis: A Forgotten Diagnosis and a Great Mimicker of Malignancy
- Gastrointestinal complications of the Ehlers-Danlos syndrome
- Generative adversarial networks (GAN)-based data augmentation of rare liver cancers: The SFR 2021 Artificial Intelligence Data Challenge
- Hepatic Splenosis: A Rare Entity and Great Mimicker
- Hepatobiliary mucinous cystic neoplasms and mimics
- Hubris syndrome: an acquired personality disorder? A study of US Presidents and UK Prime Ministers over the last 100 years
- Identification of individuals at high-risk for pancreatic cancer using a digital patient-input tool combining family cancer history screening and new-onset diabetes
- Imaging of Bowel Ischemia: An Update, From the AJR Special Series on Emergency Radiology
- Imaging pearls and differential diagnosis of encapsulating peritoneal sclerosis: Emphasis on computed tomography
- Improved visualization of arterial supply of hepatic tumors during CT angiography using sublingual administration of glyceryl trinitrate
- Intra-Arterial CT Angiography Cinematic Rendering in Peripheral Arterial Disease
- Introduction to radiomics for a clinical audience
- Learning multi-organ segmentation via partial- and mutual-prior from single-organ datasets
- Learning Radiology AI Concepts by Seeing and Doing
- Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection
- Long-term Effect of Machine Learning-Triggered Behavioral Nudges on Serious Illness Conversations and End-of-Life Outcomes Among Patients With Cancer: A Randomized Clinical Trial
- Machine learning analysis of adrenal lesions: Preliminary study evaluating texture analysis in the differentiation of adrenal lesions
- Management of Small Nonfunctioning Pancreatic Neuroendocrine Neoplasms: Current Opinion and Controversies
- Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management
- Mixed-Sized Biomedical Image Segmentation Based on U-Net Architectures
- MONAI: An open-source framework for deep learning in healthcare
- Multimodality imaging features of desmoid tumors: a head-to-toe spectrum
- Multimodality imaging of paragangliomas of the head and neck
- Multi-organ segmentation of abdominal structures from non-contrast and contrast enhanced CT images
- Nomogram Using CT Radiomics Features for Differentiation of Pneumonia-Type Invasive Mucinous Adenocarcinoma and Pneumonia: Multicenter Development and External Validation Study
- On the advantages and disadvantages of virtual continuing medical education: a scoping review
- Placenta accreta spectrum: the pattern and character of intraplacental blood flow by color and spectral Doppler
- Postoperative surveillance of pancreatic ductal adenocarcinoma (PDAC) recurrence: practice pattern on standardized imaging and reporting from the society of abdominal radiology disease focus panel on PDAC
- Potential Utility of Risk Stratification for Multicancer Screening with Liquid Biopsy Tests
- Predictors of malignant intussusception in adults using clinical manifestations and multidetector computed tomographic findings
- Primary biliary cholangitis: review for radiologists
- Primary sclerosing cholangitis: review for radiologists
- Radiology Education and Training 2022-2032: Are We in Danger of Fighting Yesterday's War?
- Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning
- Realistic Facial Three-Dimensional Reconstruction from CT Images and 2D Photographic Images for Surgical-Orthognathic Planning
- Re-envisioning the Paradigm for Oncology Electronic Health Record Documentation by Paying for What Matters for Patients, Quality, and Research
- Reliable Mutual Distillation for Medical Image Segmentation under Imperfect Annotations
- Renegades, Rebels, and Revolutionaries: Making Medicine a Better Public Trust
- Revelation of microcracks as tooth structural element by X-ray tomography and machine learning
- Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial Intelligence
- Role of computed tomographic enterography for evaluation of small bowel diseases: A cross-sectional study
- Role of positron emission tomography/computed tomography in the evaluation of renal cell carcinoma
- Role of Surgery for Pancreatic Ductal Adenocarcinoma in the Era of Multidisciplinary Treatment
- Secondary sclerosing cholangitis: mimics of primary sclerosing cholangitis
- Segmental arterial mediolysis (SAM): Systematic review and analysis of 143 cases
- Social Media Use Among Members of the Assessment of Spondyloarthritis International Society: Results of a Web-Based Survey
- Solving Problems Due to Hurricane Maria and COVID-19: CT Trends in Puerto Rico Before, During, and Beyond Public Health Crises
- Spontaneous isolated dissection of the superior mesenteric artery and aneurysm formation resulting from segmental arterial mediolysis: a case report
- Suggestions for improving the work culture in radiology: Advice from a famous basketball coach
- Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography
- Teaching artificial intelligence as a fundamental toolset of medicine
- Texture Analysis Identifies Distinct Radiomic Signals Associated with Survival in Hispanic Patients with Pancreatic Cancer
- The FELIX Project: Deep Networks To Detect Pancreatic Neoplasms
- The gallbladder: what's new in 2022?
- The Impact of the COVID-19 Pandemic on Multidisciplinary Clinics: A High-Volume Pancreatic Cancer Center Experience
- The Pre-Radiology Internship: Room for Improvement?
- The reproducibility issues that haunt health-care AI
- The Role of Computed Tomography and Magnetic Resonance Imaging in Accurate Size Estimation of Pancreatic Ductal Adenocarcinoma
- The spectrum of computed tomography findings in blunt trauma of the subclavian/axillary artery: a pictorial essay
- Trends in cardiology and oncology artificial intelligence publications
- Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?
- UGAN: Semi-supervised Medical Image Segmentation Using Generative Adversarial Network
- Unexpected post-operative haemorrhage: Could it be splenosis?
- Utility of CBCT and AVD for intraprocedural diagnosis and treatment of lower GI bleeding
- Utility of Dark-Blood Dual-Energy CT Images for Predicting Vascular Involvement and R0 Resection in Patients With Pancreatic Cancer
- Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events
- VI-RADS in bladder cancer: Overview, pearls and pitfalls
- What's new in the hot gallbladder: the evolving radiologic diagnosis and management of acute cholecystitis
- Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
- Which Types of Facebook Posts Yield the Best Response for Radiology Education: A One-Year Analysis of What We Learned
