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AI Akademi 🩺 Artificial Intelligence in Biomedical Engineering
Units
1. Introduction to Artificial Intelligence and Verification Discipline in Biomedical Engineering 2. Medical Image Analysis Support: Radiology (X-ray, CT, MR) 3. Digital Pathology and Tissue Image Analysis 4. Biosignal Processing: ECG and Cardiac Signals 5. Biosignal Processing: EEG and Neurological Signals 6. Wearable Sensors and Continuous Physiological Monitoring 7. Clinical Data Analysis and Electronic Health Records 8. Medical Device Design and Device Software (SaMD) 9. Regulatory Research and Verification: CE/FDA, MDR 10. Ethics, Patient Privacy and Data Governance (KVKK/HIPAA) 11. End-to-End Integration, Boundaries and Responsible Execution
Unit 10 / 11

Ethics, Patient Privacy and Data Governance (KVKK/HIPAA)

Gains:

  • Ability to explain the special personal data status of health data and KVKK/HIPAA obligations
  • Ability to practically manage the risks of anonymization, pseudonymization and re-identification
  • Ability to embed principles of bias, fairness, informed consent and transparency into AI workflow

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