When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Health
KULeuvenX logo

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.

     0 |
  • Reviews ( 0 )
₹6689.799999999999
KULeuvenX: AI in Healthcare. Hype or Help?

Popular Courses

This Course Includes

  • iconedx
  • icon0 (0 reviews )
  • icon17 weeks at 2-5 hours per week
  • iconenglish
  • iconOnline - Self Paced
  • iconcourse
  • iconKULeuvenX

About KULeuvenX: AI in Healthcare. Hype or Help?

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.

What You Will 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..