Overview
Gain expertise to lead in an AI-powered healthcare industry as you gain future-ready skills in AI concepts, tools, and ethics.
Syllabus
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- Week 1: Introduction to AI in Healthcare
-- Overview of AI and its impact on healthcare
-- Key AI concepts and terminology
-- Current trends and future potential of AI in healthcare
- Week 2: Data Collection and Management in Healthcare
-- Types of healthcare data
-- Data privacy and ethical considerations
-- Data preprocessing and integration techniques
- Week 3: Machine Learning in Healthcare
-- Introduction to machine learning algorithms
-- Supervised vs. unsupervised learning
-- Case studies: Predictive modeling and diagnostics
- Week 4: Deep Learning Applications
-- Introduction to neural networks and deep learning
-- Image recognition and analysis in medical imaging
-- Natural language processing for healthcare applications
- Week 5: AI in Clinical Decision Support
-- Role of AI in clinical decision-making
-- Developing intelligent decision support systems
-- Case studies: AI in patient diagnosis and treatment recommendations
- Week 6: Robotics and AI in Surgery
-- Overview of robotics in surgical procedures
-- AI-assisted robotic surgery
-- Ethical and practical considerations of robotic interventions
- Week 7: AI in Personalized Medicine
-- Introduction to precision medicine
-- AI techniques for personalized treatment plans
-- Genomics and AI applications in healthcare
- Week 8: Challenges and Future Directions
-- Regulatory and legislative challenges for AI in healthcare
-- Addressing biases and ensuring fairness in AI systems
-- Future innovations and research opportunities in AI for healthcare
Taught by
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On-Demand
