Clinical 2025-03-26
Machine Learning for Radiology Workflow Optimization
AI and deep learning applications for automated segmentation and quantitative measurement of spinal structures in MRI, providing tools for precise anatomical analysis that support clinical decision-making in spinal surgery and treatment planning.
5C Network Research Team · arXiv · DOI: 10.48550/arXiv.2503.11281
Key Findings
- Automated spinal structure segmentation reduces radiologist annotation time from minutes to seconds per case
- Quantitative measurements of disc heights, canal dimensions, and vertebral alignment enable objective surgical planning
- System integrates into existing PACS workflows, providing structured outputs alongside standard imaging
- Multi-site validation across Indian hospitals demonstrates reliability across diverse MRI scanner configurations
