With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions.
Evaluations of AI Applications in Healthcare
Evaluations of AI Applications in Healthcare
This course is part of AI in Healthcare Specialization
Instructors: Tina Hernandez-Boussard
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4.5
(275 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 11 hours
Learn at your own pace
94%
Most learners liked this course
What you'll learn
Principles and practical considerations for integrating AI into clinical workflows
Best practices of AI applications to promote fair and equitable healthcare solutions
Challenges of regulation of AI applications and which components of a model can be regulated
What standard evaluation metrics do and do not provide
Details to know
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Assessments
22 assignments
Taught in English
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This course is part of the AI in Healthcare Specialization
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There are 8 modules in this course
What's included
10 videos2 readings3 assignments
What's included
15 videos2 readings4 assignments
What's included
19 videos2 readings5 assignments
What's included
18 videos2 readings5 assignments
What's included
18 videos2 readings4 assignments
Readings related to best ethical practices for AI in health care
What's included
3 readings
What's included
9 videos
What's included
3 readings1 assignment
Instructors
Instructor ratings
4.6 (84 ratings)Offered by
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4.5
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Showing 3 of 275
OP
5
Reviewed on Nov 30, 2020
Excellent, methodical coverage of the topics involved. Great course!
FN
5
Reviewed on Dec 22, 2024
One of the most important courses in this specialization.
KN
5
Reviewed on Dec 3, 2020
More examples would have been better to understand some of the concepts.
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