Journal Club ❯ March 2024
- "From Gaming Machines to Thinking Machines... "
- "Scalable Privilege"-How AI Could Turn Data From the Best Medical Systems Into Better Care for All
- 4 Questions to Assess the Trustworthiness of Your Company's GenAI
- 9 Trends That Will Shape Work in 2024 and Beyond
- A causal perspective on dataset bias in machine learning for medical imaging
- A Clinical User Study Investigating the Benefits of Adaptive Volumetric Illumination Sampling
- A deep learning-based algorithm improves radiology residents' diagnoses of acute pulmonary embolism on CT pulmonary angiograms
- A pictorial review of scrotal and penile pathology on computed tomography
- Adrenal Mass Biopsy in Patients Without Extraadrenal Primary Malignancy: A Multicenter Study
- Advances in Cardiovascular Imaging
- AI Developers Should Understand the Risks of Deploying Their Clinical Tools, MIT Expert Says
- AI-Generated Clinical Summaries Require More Than Accuracy
- AI-powered Hyperrealism: Next Step in Cinematic Rendering?
- AI's Threat to the Medical Profession
- Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective
- Almanac - Retrieval-Augmented Language Models for Clinical Medicine
- Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation
- Anatomical and Biological Considerations to Determine Resectability in Pancreatic Cancer
- Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging
- Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges
- Artificial Intelligence (AI) in Nuclear Medicine: Is a Friend Not Foe
- Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreatic cancer
- Artificial Intelligence for Humanity: Perspectives From Outside of Medicine
- Artificial Intelligence for the Detection of Pneumothorax on Chest Radiograph: Not yet the Panacea
- Artificial Intelligence Identifies Factors Associated with Blood Loss and Surgical Experience in Cholecystectomy
- Artificial intelligence to predict T4 stage of pancreatic ductal adenocarcinoma using CT imaging
- ASO Practice Guidelines Series: Management of Resectable, Borderline Resectable, and Locally Advanced Pancreas Cancer
- Assessment of resectability of pancreatic cancer using novel immersive high-performance virtual reality rendering of abdominal computed tomography and magnetic resonance imaging
- Automated detection of incidental abdominal aortic aneurysms on computed tomography
- Benchmarking Open-Source Large Language Models, GPT-4 and Claude 2 on Multiple-Choice Questions in Nephrology
- Beyond the AJR: An International Competition Advances Artificial Intelligence Research
- CancerGPT for few shot drug pair synergy prediction using large pretrained language models
- Cardiac Computed Tomography in Congenital Heart Disease
- Cardiac Computed Tomography of Native Cardiac Valves
- Chapter 3 - Current approaches for treatment of colonic disorder
- Chatbots and Large Language Models in Radiology: A Practical Primer for Clinical and Research Applications
- Cinematic Rendering for Differentiation of Pancreatic Neuroendocrine Tumor From Intrapancreatic Accessory Spleen
- Cinematic rendering of 18F-DCFPyL PET/CT fusion data in a patient with metastatic clear cell renal cell carcinoma
- Cinematic Rendering of Abernethy Malformation with Abdominal Aneurysms
- Clinical implementation of cinematic rendering
- Comparative outcomes and prognostic indicators in adrenalectomy for adrenal metastasis
- Complete Primary Pathological Response Following Neoadjuvant Treatment and Radical Resection for Pancreatic Ductal Adenocarcinoma
- Computed Tomography Angiography for Aortic Diseases
- Coronary Artery Disease: Role of Computed Tomography and Recent Advances
- Could the underlying biological basis of prognostic radiomics and deep learning signatures be explored in patients with lung cancer? A systematic review
- Current and emerging 3D visualization technologies in radiology
- Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance
- Deep neural network-based segmentation of normal and abnormal pancreas on abdominal CT: evaluation of global and local accuracies
- Defining a radiomics feature selection method for predicting response to transarterial chemoembolization in hepatocellular carcinoma patients
- Diagnosis and Management of Aortic Diseases
- Different forms of pulmonary aspergillosis: A pictorial essay
- Enhancing diagnostic precision for acute chest syndrome in sickle cell disease: insights from dual-energy CT lung perfusion mapping
- ESR Bridges: CT builds bridges in coronary artery disease
- Evaluation of 18 CT signs in diagnosing cecal volvulus: a multi-reader retrospective study
- Evaluation of Sepsis Prediction Models before Onset of Treatment
- Evolving applications of liquid biopsies in gastrointestinal cancers
- Expanded experience with cardiovascular black blood cinematic rendering
- Factors for which radiology residents choose fellowship
- Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review
- FAFuse: A Four-Axis Fusion framework of CNN and Transformer for medical image segmentation
- Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics
- From Diagnosis to Treatment: Enhancing Precision in CT Analysis of Bowel Wall Thickening
- Generative Large Language Models for Detection of Speech Recognition Errors in Radiology Reports
- GEP-NETs radiomics in action: a systematical review of applications and quality assessment
- Giant dilatation of pancreatic duct associated with congenital anomaly of the pancreatic ductal system and small neuroendocrine tumor
- Graduate Mentorship Research Program: Innovation, Diversity, Research, Improvement
- Health Care AI and Patient Privacy-Dinerstein v Google
- How Academic Medical Centers Govern AI Prediction Tools in the Context of Uncertainty and Evolving Regulation
- Human Treelike Tubular Structure Segmentation in Medical Images
- Imaging of Alcohol-Associated Liver Disease
- Imaging of pancreatic ductal adenocarcinoma - An update for all stages of patient management
- Imaging of Visceral Vessels
- Impact of Size Thresholds on the Diagnosis of Incidental Adrenal Lesions: A Systematic Review and Meta-Analysis
- Improved automated tumor segmentation in whole-body 3D scans using multi-directional 2D projection-based priors
- Improving Efficiencies While Also Delivering Better Health Care Outcomes: A Role for Large Language Models
- Innovation in Event Adjudication-Human vs Machine
- Interpretable artificial intelligence-based app assists inexperienced radiologists in diagnosing biliary atresia from sonographic gallbladder images
- Interval Cancers in Understanding Screening Outcomes
- Intraductal Papillary Mucinous Neoplasms in High-Risk Individuals: Incidence, Growth Rate, and Malignancy Risk
- Is radiology's future without medical images?
- Lower extremity infections: Essential anatomy and multimodality imaging findings
- Lung-PNet: An Automated Deep Learning Model for the Diagnosis of Invasive Adenocarcinoma in Pure Ground-Glass Nodules on Chest CT
- M3BUNet: Mobile Mean Max UNet for Pancreas Segmentation on CT-Scans
- Machine Learning to Infer a Health State Using Biomedical Signals - Detection of Hypoglycemia in People with Diabetes while Driving Real Cars
- Management of Cystic Neoplasms of the Pancreas
- Metastatic sclerosing epithelioid fibrosarcoma
- METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
- MR Urography: Counterpoint-CT Provides Better Diagnostic Performance and Value Compared to MRI for Urographic Imaging
- MS-TCNet: An effective Transformer-CNN combined network using multi-scale feature learning for 3D medical image segmentation
- Multi-cancer early detection tests for general population screening: a systematic literature review
- MultiMedia Modeling
- Multi-Organ Segmentation in Abdominal MRI using CT-to-MR Synthesis
- Multi-task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion
- Natural Language Processing for Adjudication of Heart Failure in a Multicenter Clinical Trial: A Secondary Analysis of a Randomized Clinical Trial
- Neuroendocrine Neoplasms of the Digestive System
- nnU-Net-Based Pancreas Segmentation and Volume Measurement on CT Imaging in Patients with Pancreatic Cancer
- Optimal age to discontinue long-term surveillance of intraductal papillary mucinous neoplasms: comparative cost-effectiveness of surveillance by age
- Pancreatic Adenocarcinoma: Imaging Modalities and the Role of Artificial Intelligence in Analyzing CT and MRI Images
- Pancreatic cancer pathology image segmentation with channel and spatial long-range dependencies
- Patient- and Family-Centered Care in Radiology: Lessons Learned and Next Steps
- Policy in Progress - The Race to Frame AI in Health Care
- PPML-Omics: A privacy-preserving federated machine learning method protects patients' privacy in omic data
- Practical Applications of Artificial Intelligence in Spine Imaging: A Review
- Precursor lesions in familial and hereditary pancreatic cancer
- Predicting the risk of pancreatic cancer in women with new-onset diabetes mellitus
- Preoperative evaluating early recurrence in resectable pancreatic ductal adenocarcinoma by using CT radiomics
- Preoperative Prediction of Perineural Invasion and Prognosis in Gastric Cancer Based on Machine Learning through a Radiomics-Clinicopathological Nomogram
- Present and Future Innovations in AI and Cardiac MRI
- Principles for Augmented Intelligence Development, Deployment, and Use
- Prognostic Significance of Biologic Factors in Patients with a Modest Radiologic Response to Neoadjuvant Treatment for Resectable and Borderline Resectable Pancreatic Cancers: Impact of the Combination Index of Sialyl-Lewis Antigen-Related Tumor Markers
- Prospective Evaluation of Machine Learning for Public Health Screening: Identifying Unknown Hepatitis C Carriers
- Protein design meets biosecurity
- Radiomics analysis with three-dimensional and two-dimensional segmentation to predict survival outcomes in pancreatic cancer
- Radiomics and liver: Where we are and where we are headed?
- Radiomics in CT and MR imaging of the liver and pancreas: tools with potential for clinical application
- Regulate Artificial Intelligence in Health Care by Prioritizing Patient Outcomes
- Responding to Medical Errors - Implementing the Modern Ethical Paradigm
- Role of Computed Tomography in Cardiac Electrophysiology
- Role of Radiology in Assessment of Postoperative Complications of Heart Transplantation
- RotU-Net: An Innovative U-Net With Local Rotation for Medical Image Segmentation
- Segment anything in medical images
- Social networks in radiology: Toward a new paradigm in medical education?
- Solitary plasmacytoma of the pancreas: A rare case report
- Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology
- The effect of data resampling methods in radiomics
- The future of radiology and radiologists: AI is pivotal but not the only change afoot
- The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adenocarcinoma patients
- The Perils of Artificial Intelligence in a Clinical Landscape
- The Role of Artificial Intelligence in Cardiac Imaging
- The try-it-all approach to precision medicine
- The U.S. President's Executive Order on Artificial Intelligence
- To do no harm - and the most good - with AI in health care
- Towards Generalist Biomedical AI
- Use of GPT-4 With Single-Shot Learning to Identify Incidental Findings in Radiology Reports
- Using a CA19-9 Tumor Marker Gene Test to Assess Outcome After Pancreatic Cancer Surgery
- Using Artificial Intelligence to Improve Primary Care for Patients and Clinicians
- Using ChatGPT to Facilitate Truly Informed Medical Consent
- Utilization of texture features of volumetric ADC maps in differentiating between serous cystadenoma and intraductal papillary neoplasms
- What Is a Mentor?
- What to Know About PREVENT, the AHA's New Cardiovascular Disease Risk Calculator
- What We Want to Publish at NEJM AI
- Why Radiology Departments Should Have a Vice Chair for Patient Experience
- Why the Tech Industry Won't Disrupt Health Care