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A curated list of awesome resources, papers, datasets, and tools related to AI in radiology. This repository aims to provide a comprehensive collection of materials to facilitate research, learning, and development in the field of AI-powered radiology.
Automatic extraction of structured labels from radiology reports. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."
A powerful, enterprise-grade multi-agent system for advanced radiological analysis, diagnosis, and treatment planning. This system leverages specialized AI agents working in concert to provide comprehensive medical imaging analysis and care recommendations.
There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (chest, abdomen, and pelvis) Computed Tomography (CT). Currently, the major bottleneck for developing multi-disease classifiers is a lack of m…