Artificial Intelligence for Healthcare

Overview

On this eight-week course, you’ll explore how AI is being used to turn the healthcare industry into a highly data-driven field.

Syllabus

• 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

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Taught by

Teng Aik Ong

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Subjects

Computer Science