IRL & Online Program
AI in Healthcare
Apply deep learning to medical imaging, genomics, and electronic health records while ensuring compliance and privacy.
Hands-on Highlights
- Train a CNN for tumor detection in MRI scans
- Build predictive models using Electronic Health Records (EHR)
- Implement federated learning for privacy-preserving AI
- Deploy a medical image segmentation API (U-Net)
Detailed Syllabus
Week 1-3
Medical Data & Compliance
- Understanding HIPAA and GDPR compliance
- Handling DICOM and NIfTI file formats
- De-identification of medical records
- Ethics and bias in healthcare algorithms
Week 4-6
Medical Imaging & Diagnostics
- Classifying X-Rays using transfer learning
- Image segmentation with U-Net
- Detecting anomalies in MRI/CT scans
- Handling class imbalance in clinical datasets
Week 7-9
Predictive Modeling with EHR
- Parsing and embedding Electronic Health Records
- Predicting patient readmission rates
- Survival analysis using machine learning
- Extracting insights from clinical notes (ClinicalBERT)
Week 10-12
Privacy & Advanced Architectures
- Introduction to Federated Learning
- Training models across decentralized hospitals
- Drug discovery and genomics fundamentals
- Deploying a secure clinical decision support API
Target Roles & Career Paths
Healthcare Data Scientist
Bioinformatics AI Specialist
Medical Imaging Researcher
Healthtech AI Engineer
These are the primary roles you will be equipped to apply for upon successful completion of the course and portfolio projects.