AI+ Healthcare™
Revolutionize Patient Care with Advanced AI
This course explores healthcare transformation by examining how AI reshapes predictive analytics, diagnostics, and patient-centric solutions. It delivers comprehensive modules covering key concepts such as machine learning, natural language processing, and ethical AI applications in healthcare. With a practical focus, learners address real-world challenges including personalised medicine and operational efficiency. The course also provides essential insights into regulatory navigation, helping participants understand compliance requirements and legal standards governing AI in healthcare.
Enrollment Fee:
MUR 5,980
What You'll Learn
- Course Introduction
1.1 Fundamentals of Artificial Intelligence
1.2 AI in the Healthcare Ecosystem
1.3 Ethical and Regulatory Framework
2.1 Data Acquisition and Management
2.2 Preprocessing Techniques for Medical Data
2.3 Model Development and Validation
3.1 Introduction to Medical Imaging
3.2 AI Techniques in Imaging
3.3 Implementation and Future Trends
4.1 AI-powered Diagnostic Systems
4.2 Predictive Analytics in Healthcare
4.3 Challenges and Solutions
5.1 Customized Treatment Solutions
5.2 Machine Learning Models in Treatment
5.3 Case Studies and Ethics
6.1 Wearable Technologies and IoT in Healthcare
6.2 Remote Patient Monitoring Systems
6.3 Impact on Healthcare Delivery
7.1 AI in Health Insurance
7.2 Operational Efficiency in Healthcare
7.3 Future of AI in Health Systems
8.1 Innovations in AI and Their Impact on Healthcare
8.2 Interdisciplinary Approaches
8.3 Preparing for the Future
1. What Are AI Agents for Healthcare
2. Applications of AI Agents in Healthcare
3. Aligned Examples
Prerequisites
- Basic understanding of healthcare world, no technical expertise or knowledge required.
- Readiness to think innovatively, generating novel ideas, and effectively utilizing AI tools in healthcare.
- Openness to exploring various aspects of AI in healthcare, including its implications, challenges, and opportunities.
- Strong interest and motivation to delve into the integration of AI technologies within the healthcare sector.
Exam Details
Duration:
90 minutes
Passing Score:
70% (35/50)
Format:
50 multiple-choice/multiple-response questions
Delivery Method:
Online via proctored exam platform (flexible scheduling)
Unlock Self-Paced Online Learning
- Unlock Self-Paced Online Learning
- Access learning anytime, anywhere, with built-in quizzes to measure progress.
- Enrollment Fee: MUR 5,980