Health Basics
Fundamental principles and concepts
KULeuvenX: AI in Healthcare. Hype or Help?
Discover how Artificial Intelligence (AI) is revolutionizing healthcare in this exciting course. The added value of AI for healthcare is explained from the healthcare professional's perspective, while basic AI principles are clarified from the AI developer's point of view.
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Course Insight
Designed for advanced/expert practitioners. Designed for experienced practitioners. We recommend having a solid grasp of Health fundamentals before starting this specialization.
Advanced LevelCertification IncludedSelf-Paced Learning
SKILLS TO
MASTER
Practical ApplicationTrending
Real-world project implementationBest Practices
Industry standard workflows and guidelinesCareers:Relevant for professionals pursuing roles within Health.
Quick Facts
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What You’ll Learn
- Define key enabling factors and limitations of AI tools..
- Explain the main concepts of AI techniques..
- Identify added value and risks of AI in healthcare applications..
- Define healthcare data requirements, and identify related societal, ethical, and legal regulations..
- Explain the role and implications of AI in healthcare..
- Examine real-life use cases in which AI is already applied in clinical practice..
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Description
Work and research in healthcare are evolving rapidly, partly because of innovative technology that is introduced due to a far-reaching digitization of the health sector. AI is one of these technologies that already influences healthcare today for the benefit of patients, professionals, and scholars, and it will continue to do so in the future. Therefore, current and future professionals and scholars, like yourself, will be challenged with the correct adoption of AI in healthcare.
This course is intended to empower you as a healthcare professional or scholar with insights and critical knowledge on the AI era, general principles and concepts of AI, the added value of AI in healthcare and associated data, ethics and regulatory boundaries. The course considers AI in healthcare, both from the perspective of the healthcare professional who wants to be able to evaluate the benefits, limitations and pitfalls of (working with) AI; as well as from the developer’s perspective, who needs to be aware of the technical background in establishing and validating algorithms for AI applications, as well as of the healthcare context.
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