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Retrospective Clinical Trial Comparing Radiologists' Diagnosis Accuracy in Lung Cancer Screening Population With and Without the Help of an AI/ML Tech-based SaMD (RELIVE)

• Source: A Multi-Reader Multi-Case Controlled Clinical Trial to Evaluate the Comparative Accuracy Of Readers Assisted By an AI/ML Technology-Based End-To-End CADe/CADx SaMD Versus Alone in the Detection,

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Individual Dosimetric Monitoring of Workers During Interventional Radiology and Cardiology Procedures for Cardiologists and Radiologists in France (DOSE RPW-CRI)

• Source: Multicenter Retrospective Study of Passive Dosimeter Results for Interventional Cardiologists and Radiologists

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Grasshopper: a Novel Clinical Dashboard for Radiologists (Grasshopper)

• Authors : Jason D. Balkman, Principal Investigator

• Source: Grasshopper: a Novel Clinical Dashboard for Radiologists

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Using Artificial Intelligence to Improve Radiologists' Performance in Radiology Report Writing: a Randomised Controlled Trial

• Source: Using Artificial Intelligence to Improve Radiologists' Performance in Radiology Report Writing: a Randomised Controlled Trial

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The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study

• Authors : Kurmukov, Anvar; Chernina, Valeria; Gareeva, Regina

Subjects: Electrical Engineering and Systems Science - Image and Video Processing; Computer Science - Computer Vision and Pattern Recognition

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Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis

• Authors : Awasthi, Akash; Ahmad, Safwan; Le, Bryant

Subjects: Electrical Engineering and Systems Science - Image and Video Processing; Computer Science - Artificial Intelligence

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CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models

• Authors : Wang, Sheng; Du, Tianming; Fischer, Katherine

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports

• Authors : Zhu, Qingqing; Chen, Xiuying; Jin, Qiao

Subjects: Computer Science - Computation and Language; Computer Science - Artificial Intelligence

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I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses

• Authors : Pham, Trong Thang; Brecheisen, Jacob; Nguyen, Anh

Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Artificial Intelligence

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Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study

• Authors : Martinez, Stanford; Ramirez-Tamayo, Carolina; Faruqui, Syed Hasib Akhter

Subjects: Computer Science - Computer Vision and Pattern Recognition

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