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Informatics and Data Science
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A Taxonomy of AI Interpretation Limitations in Medical Imaging: Archetypal Behaviors, Clinical Context, and Mitigation Strategies
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Advanced AI Methods for Dose Reduction in Interventional and Diagnostic Fluoroscopy
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AI-assisted decision support and Radiologist efficiency in CT lung cancer screening
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AI-DRIVEN RECONSTRUCTION AND AUTOMATED PHYSICS RIGGING OF DEFORMABLE COLON MODELS FROM COMPUTED TOMOGRAPHY FOR COLONOSCOPY REHEARSAL
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AI-Enabled Fractional Flow Reserve Derived From Coronary CT Angiography: Real-World Impact on Downstream Care and Clinical Outcomes
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Algorithmic Drift and Lifecycle Quality Assurance in Radiology AI: A Framework for Ongoing Performance Monitoring and Re-Validation
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Application of Large Language Models to Mammography Rad-Path Correlation for Automated Data Extraction and Concordance Prediction
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Artifical Intelligence-based research and publications in Radiology: Current Trends
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Associations Between Standardized AI-Derived Opportunistic Vascular Metrics from Knee MRI and Cartilage T2 Relaxation Time: A Longitudinal Analysis from the Osteoarthritis Initiative
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Automated Assessment of Tumor Response from Free-Text Oncology Reports Using Deep Natural Language Processing
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Baseline quantitative computed tomography scores in patients with idiopathic pulmonary fibrosis (IPF) and progressive pulmonary fibrosis (PPF) in the FIBRONEER-IPF and FIBRONEER-ILD trials
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Beyond Top-Box Scores: Using Natural Language Processing of Press Ganey Survey Data to Differentiate Enterprise-Wide from Site-Specific Quality Improvement Targets
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Brain Aneurysm Detection with AI Triage Assistance: A Retrospective Quality Improvement Study
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Clinical Acceptability of a Generative AI System for Automated Chest X-ray Reporting: A Multi-Institutional Non-inferiority Study
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Conditional Hybrid GAN for Class-Specific 2D Brain MRI Synthesis Using a CNN-Vision Transformer Discriminator
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Credentialing the Algorithm: A Framework for Institutional Oversight of Clinical AI Systems in Radiology
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Development and Evaluation of a Locally-Hosted Large Language Model with Retrieval-Augmented Generation for CT Decision Support
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Device-Induced Errors in Imaging AI: Mechanisms, Clinical Impact, and Mitigation Strategies in Diagnostic Radiology
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Evaluating Open-Source AI Models for Bone Fracture Detection Using the MURA (Musculoskeletal Radiographs) Dataset: A Comparative Validation Study for Low-Resource Clinical Settings
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Exam Type-Driven Variations in MRI Efficiency: Throughput, Billing, and RVU Across a Multi-Site Academic Health System
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False-Positive-Constrained Evaluation of AI Lung Nodule Detection
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FDA Regulatory Trends in Artificial Intelligence-Enabled Medical Devices in Radiology: 2015-2025
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Generalizable detection of cardiac implantable devices using a hybrid transformer and convolutional neural network framework.
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Identification of Radiological Progressive Pulmonary Fibrosis in Clinically Stable Patients Using e-Lung Quantitative CT Algorithm: Results from the REVISE PPF Study
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Imaging AI for Femoral Head Osteonecrosis: PRISMA-DTA Meta-analysis of Diagnostic Accuracy and Modality Effects
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Impact of Generative AI Driven Impression Generation on Radiologist Workload and Burnout: A Clinical Application of Jevons Paradox
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Impression-Based Imaging Severity Stratification in Adult Acute Chest Syndrome Using Structured Radiology Report Classification
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Improving MRI Safety and Efficiency: Development of an AI Model for Automated Recognition and Classification of ICD Devices Using Chest X-ray Images
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Large Language Models as Emerging Tools to Support Patient Education and Informed Consent for Uterine Artery Embolization
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Multimodal MRI Machine-Learning Radiomics Framework to Standardize Metastasis-Risk Assessment in Soft-Tissue Sarcoma
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Multiparametric ultrasound diagnostics with artificial intelligence programs in diffuse liver diseases in children
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Opportunistic Deep Learning Popliteal Artery Wall Quantification from Knee MRI and Longitudinal Association with Hip Osteoarthritis Outcomes
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Oppurtunistic Deep Learning–Derived Popliteal Artery Wall Biomarkers from Knee MRI and Medial Compartment Knee Osteoarthritis
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Optimizing Deep Learning in Radiologic Image Analysis: Expert Eye Tracking-derived Model Guidance
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Recent Advances in Artificial Intelligence for Radiology Report Generation: A Brief Review
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Standardized Machine-Learning Prediction of Knee Osteoarthritis Progression: Comparative Value of Traditional and Radiomics MRI Data Over Clinical and Biospecimen Predictors
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The e-Lung Weighted Reticulovascular Score Identifies Patients at Risk of Future Progressive Pulmonary Fibrosis: Results from the REVISE PPF Study
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