Week 2 Reading: How AI Reads Medical Images— A Guide for Radiologic Technologists

3. CT Scans and MRI Analysis by AI

While X-rays provide a single 2D view, CT scans and MRIs generate hundreds of cross-sectional image slices. Manually reviewing each slice is time-consuming. AI systems process all slices simultaneously within seconds, creating 3D models and flagging regions of concern across multiple planes at once.

CT Scan vs. MRI — How AI Approaches Each:

•CT SCAN AI ANALYSIS: Processes 64-640 slices per scan. Detects tumors, bleeds, and emboli. Provides results in under 60 seconds. Best for emergency and trauma cases utilizing Hounsfield unit patterns.

• MRI AI ANALYSIS: Processes T1, T2 and FLAIR sequences. Detects MS lesions and brain tumors. Offers superior soft-tissue contrast utilizing signal intensity maps. Best for neurological conditions.

Comparison Table: 

How AI Integrates into Your Clinical Workflow:

When you complete a CT or MRI scan, the DICOM images are automatically sent to the AI system via your PACS (Picture Archiving and Communication System). The AI processes these images and returns a prioritized worklist, flagging urgent cases first so radiologists can review them immediately.

• URGENT: High confidence abnormality detected. Immediate review required.

• PRIORITY: Possible finding detected. Review within 2 hours.

 • ROUTINE: No significant findings flagged. Standard review protocol.