How Artificial Intelligence Can Support Healthcare

Understand real-life AI healthcare applications and their impact on healthcare

The use of artificial intelligence to improve efficiency is prevalent across almost every industry, none more so than the world of healthcare.

On this course, you’ll learn how to join the discussion on the potential of AI in healthcare in a useful and realistic way.

With the help of teachings from leaders in AI healthcare thinking, you’ll build your knowledge and confidence in key areas of AI healthcare, before learning how it can be implemented into your own workflow.

Explore the potential of artificial intelligence in healthcare

There is a wide range of healthcare-based use-cases for AI, including in the automation of repeated tasks and in improving the accuracy of diagnosis. This course will take you through the full range of AI capabilities and why they are so useful.

You’ll also learn what the requirements are for implementing AI in a clinical environment and what the impact of that implementation is.

Understand the key challenges of AI in healthcare, including AI ethics

Whilst AI is undoubtedly creating many opportunities to improve healthcare provision, it also brings risks and challenges.

From social to ethical, using real-life examples you’ll explore what these risks are so that you can make an informed decision about using AI in your line of work.

The final steps of the course will show you how to introduce AI into your workflow in a meaningful, safe, legal, and ethical way to benefit your patient.

Study with AI healthcare experts from across Europe

This course is led by a partnership of universities, consisting of University Medical Center Groningen, University of Tartu, University of Copenhagen, University Medical Center Cologne, and several industry partners.

Awarded e-course of the year 2023

This course is designed for healthcare professionals who want to better understand AI for healthcare.

This includes doctors, nurses, GPs, and Biomedical researchers. It will also be of interest to patients, medical students, PhD students, and general AI enthusiasts.

• Potential and limitations of AI in healthcare
• Introduction to the course
• What is artificial intelligence?
• Technical background of AI
• Opportunities for AI in healthcare
• Limitations of AI
• Concluding Week 1
• Tackling the technical and regulatory challenges of AI
• Introduction Week 2
• Trustworthy AI
• Explainable AI
• Clinical Products and Services using AI
• Concluding Week 2
• Ethical and social aspects of AI in healthcare
• Introduction Week 3
• Ethical concerns
• Dealing with ethical concerns
• Interaction between AI and healthcare professionals
• Patients interacting with AI
• Can we trust AI?
• Future perspectives
• Concluding Week 3
• Practical examples and wrap-up
• Introduction Week 4
• Manager’s perspective
• IT perspective
• Healthcare professional perspective
• Patient perspective
• Making a choice
• Concluding Week 4