Module 3: AI in Clinical Radiology
Applications and case studies of AI in radiological practice
Module Locked
Complete the previous modules to unlock this content. Master the fundamentals before exploring clinical applications.
Return to AI Foundations ModulePreview: What You'll Learn
Lesion Detection and Characterization
Explore how AI algorithms can identify and classify abnormalities across different imaging modalities, from lung nodules on chest CT to breast lesions on mammography.
Image Segmentation
Learn about automated delineation of anatomical structures and pathological regions, enabling quantitative analysis and treatment planning.
Clinical Workflow Integration
Discover how AI tools are being incorporated into radiological practice to improve efficiency, reduce burnout, and enhance diagnostic accuracy.
Case Studies
Analyze real-world implementations of AI in radiology departments, including challenges, successes, and lessons learned from early adopters.
