🔬Artificial Intelligence in Medical Laboratory Sciences

Healthcare · 11 units · free, no membership

1 Introduction to Artificial Intelligence in the Medical Laboratory: Roles, Boundaries, Validation and Ethics

2 Result Interpretation Support and Reference Ranges: Validating the AI Sketch

3 Quality Control and Delta Check: Analytical Error Catching with AI

4 Panic/Critical Value Tracking and Notification: Security-Critical Process

5 LIS Integration and Data Flow: Connecting AI to the Right Place

6 Workflow Automation: From Sample Acceptance to Result Release

7 Microscopy and Image Pre-Assessment: Smear, Urine and Microbiology

8 Pre-Analytical Phase and Sample Compatibility: Hemolysis, Lipemia, Icterus

9 Reporting and Communication: Clear Result for Clinician and Patient

10 Data Privacy, KVKK, Ethics and Model Validation

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

All trainings Start from unit 1