This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies will illustrate how to apply the knowledge.
Trustworthy AI for Healthcare Management
Trustworthy AI for Healthcare Management
Instructor: Marco Brambilla
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Gain insight into a topic and learn the fundamentals.
4.8
(53 reviews)
Beginner level
Recommended experience
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
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Assessments
8 assignments
Taught in English
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There are 5 modules in this course
Artificial Intelligence has the potential to drastically alter the healthcare sector. To maximize benefits and mitigate unintended negative consequences, the European Commission's High-Level expert group on Artificial Intelligence proposed a framework for Trustworthy Artificial Intelligence. This modules provides an overview on artificial intelligence in the healthcare sector, Trustworthy AI, and what topics the following modules will touch in more detail.
What's included
1 video
The later modules in the course will expect some basic knowledge on artificial intelligence, which will be introduced in this module. The introduction will focus on very high level concepts and will be free of formulae. First, we will bring some clarification on the term "artificial intelligence" (or AI for short) and give a historical overview on how AI was applied in healthcare and how this application changed over time. We also go over possible applications of AI in healthcare, and show common challenges AI systems face. Finally, we will go over some of the ways AI systems can be made understandable to humans users.
What's included
4 videos4 assignments
This module is an introduction to Trustworthy Artificial Intelligence. First, we will introduce the Ethics Guidelines for Trustworthy AI, especially the core ethical principles for trustworthy AI systems, and key requirements to implement them. Then, we will have a look at Z-Inspection®, a process to assess trustworthy AI in practice.
What's included
3 videos3 assignments
In this module, we will look at three different case-studies, to see examples of the application of AI in healthcare and how trustworthy AI assessments can look in practice.
What's included
3 videos
In this module we recap the course content and give practical recommendations for the assessment and implementation of AI systems in healthcare.
What's included
1 video1 assignment
Instructor
Instructor ratings
4.8 (18 ratings)7 Courses19,657 learners
Offered by
Recommended if you're interested in Health Informatics
Fractal Analytics
DeepLearning.AI
DeepLearning.AI
Politecnico di Milano
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4.8
53 reviews
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Showing 3 of 53
AB
5
Reviewed on Nov 2, 2024
its a very good course give u insights of working ai and its limitations
PM
5
Reviewed on Aug 12, 2023
Very timely topic with my current role in Information Governance.
AA
5
Reviewed on Mar 22, 2023
This course was very well structured and provided a very articulate presentation of the content.
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