🩻Artificial Intelligence in Radiology and Medical Imaging

Healthcare · 11 units · free, no membership

1 Introduction to Artificial Intelligence in Radiology: Roles, Boundaries, Radiologist Approval, and Ethics

2 Image Pre-Assessment and Prioritization (Triage): Prioritizing Urgent Findings

3 Structured Reporting and Report Draft: Radiologist Verifies AI Draft

4 Measurement Automation: Nodule, Lesion, Volume and Density Measurements

5 PACS, RIS and DICOM Workflow: Connecting AI to the Right Place

6 Risk of False Negatives and False Positives: CAD, Sensitivity, and Automation Bias

7 Modality-Specific Artificial Intelligence: Lung X-ray, CT, MRI, Mammography and Stroke

8 Image Quality, Protocol and Dose Optimization: Before and After Shooting

9 Comparative Reading and Follow-Up: Previous Examinations, Change and RECIST

10 Data Privacy, DICOM Anonymization, KVKK, Ethics and Model Validation

11 End-to-End Workflow, Quality Management and Self-Audit

All trainings Start from unit 1