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Informatics and Data Science

Informatics and Data Science

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A deep learning system for classifying structural brain MRIs in elderly patients in a low-resource clinical setting

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A Radiological Turing Test: Can Large Language Models Answer Board-Style Questions?

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An Analysis of Radiologic Findings and Post-operative Complications in Pediatric Patients with Hirschsprung's Disease Referred to Imam Hossein Hospital in Isfahan, Iran, Between 2017 and 2021

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Analysis of scheduling efficiency by harmonizing RIS-HL7 and MR-DICOM data

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Anonymizing Radiographs and Making Them “AI Ready” Using a Deep Learning Algorithm

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Automated morphologic classification of benign and malignant breast masses on ultrasound

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Deep Learning Based Method To Identify And Detect Fractures From Musculoskeletal X-rays

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Detecting and Localizing Cervical Spine Fracture Using an End-To-End 3D Deep Learning Pipeline

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Disability and Imaging AI: Performance of Chest X-Ray (CXR)-based DL Model in patients with and without disabilities

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Exploring the effect of in-domain versus out-of-domain transfer learning for medical image classification

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How to Optimize Radiologist Reporting and Interpretation as Validated by Eye Tracking

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Integrating Chatbots in Radiology Workflow: A Primer

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Lesion Detection Using Artificial Hepatobiliary Phase Post-Contrast Images Created with a Generative Adversarial Network

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Machine learning models in detection and elimination of medical imaging artifacts: Tools in action

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Online Patient Self-Scheduling for Imaging: An academic outpatient practice’s initial experience with ticketed scheduling through the electronic health record

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Optimizing Radiology Reporting Through Teams

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Prediction of Heart Failure Incidence through Pectoralis Muscle Quality: Semantic Segmentation in Chest Computed Tomography

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Pulmonary Nodule Characteristics and Workup Rates in a Population of 5.5 Million Patients Across 7 Institutions in New York

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Risk Stratifying Thyroid Nodules with Deep Learning

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Social Media Usage and the RadsDO Experience: How Twitter Provides Enhanced Resource and Networking Accessibility via Subspecialized Interest Groups

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Studying the Correlation Between Ultrasound Features and Crohn's Disease Severity in Pediatric Patients Referred to Imam Hossein Hospital in Isfahan, Iran, Between 2019 and 2021

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THA-Net: A Deep Learning Solution for Next Generation Templating and Patient-Specific Surgical Execution

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Zero downtime PACS tech refresh during COVID-19 pandemic: experience at a major cluster of Singapore hospitals

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