AI in Healthcare. Hype or Help?
Offered By: KU Leuven University via edX
Course Description
Overview
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.
Taught by
Peter Claes, Maarten De Vos and Christos Chatzichristos
Tags
Related Courses
A New Communication Framework for HealthcareUniversity of California, San Diego via Coursera Academic Writing for Healthcare Students in Higher Education
St George's, University of London via FutureLearn Prehospital care of acute stroke and patient selection for endovascular treatment using the RACE scale
University of Barcelona via Coursera Addressing Violence Through Patient Care
University of Bergen via FutureLearn AI for Medical Diagnosis
DeepLearning.AI via Coursera