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
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Evaluations of AI Applications in Healthcare
This course is part of AI in Healthcare Specialization
Instructors: Tina Hernandez-Boussard
25,392 already enrolled
Gain insight into a topic and learn the fundamentals.
331 reviews
Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
95%
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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
Skills you'll gain
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
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Showing 3 of 331
AH
Reviewed on Dec 11, 2024
V easy to follow. Could finish at my own pace. Always theory went hand in hand with real life examples which made it interesting.
D
Reviewed on Dec 7, 2020
I was expecting the Medical genetics professor as a teacher also.
KN
Reviewed on Dec 2, 2020
More examples would have been better to understand some of the concepts.
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