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
Sponsored by Coursera Learning Team
17,593 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(267 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
When you enroll in this course, you'll also be enrolled in this 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 (83 ratings)Offered by
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Learner reviews
4.6
267 reviews
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Showing 3 of 267
OP
5
Reviewed on Nov 30, 2020
Excellent, methodical coverage of the topics involved. Great course!
SB
5
Reviewed on Jul 17, 2023
AI applications in Healthcare have to be xyz and we as medical students should know what those xyx values are and this course does that exactly.great teacher as well.
FB
5
Reviewed on Apr 17, 2023
It is an excellent course on how we should evaluate AI solutions.
Recommended if you're interested in Data Science
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