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Found 4 papers, 1 papers with code
New Epochs in AI Supervision: Design and Implementation of an Autonomous Radiology AI Monitoring System
With the increasingly widespread adoption of AI in healthcare, maintaining the accuracy and reliability of AI models in clinical practice has become crucial.
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting
First, we extract the content from an image; then, we verbalize the extracted content into a report that matches the style of a specific radiologist.
Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations
This review discusses the concept of fairness in AI, focusing on bias auditing using the Aequitas toolkit, and its real-world implications in radiology, particularly in disease screening scenarios.
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans
A part of this dataset (Qure25k dataset) was used to validate and the rest to develop algorithms.
