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AI in Health & Healthcare: Real Battle Applications

Comprehensive course on AI in Healthcare — from Medical Imaging with CNN, NLP for medical records, Drug Discovery with GNN, to implementing HIPAA/FDA compliant AI. Practice with Python, PyTorch, Hugging Face, and standard medical datasets such as MIMIC, CheXpert, PubMed.

Part 1: Medical AI Platform & Medical Data

Lesson 1: AI in Healthcare — Overview & Ethics90 minLesson 2: Medical Data — DICOM, HL7 FHIR & Privacy120 minLesson 3: Medical Image Processing Fundamentals120 min

Part 2: Medical Imaging AI — Computer Vision for Healthcare

Lesson 4: CNN for Medical Image Classification180 minLesson 5: Medical Image Segmentation — U-Net & Variants180 minLesson 6: Object Detection & Pathology AI150 min

Part 3: Clinical NLP & Genomics AI

Lesson 7: Clinical NLP — Analyzing Medical Records150 minLesson 8: Medical Q&A & Medical Chatbot150 minLesson 9: Drug Discovery with AI — GNN & Molecular Generation180 minLesson 10: Genomics & Protein Structure Prediction150 min

Part 4: Production & Compliance

Lesson 11: Federated Learning for Healthcare120 minLesson 12: Explainable AI (XAI) in Healthcare120 minLesson 13: FDA & Regulatory Compliance for AI Medical Devices120 minLesson 14: Deploy Medical AI — MLOps for Healthcare150 minLesson 15: Capstone — Building an End-to-End Medical AI Pipeline240 min