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
This course is part of AI in Healthcare Specialization


Instructors: Tina Hernandez-Boussard
Access provided by Seminole State College
23,249 already enrolled
(318 reviews)
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 
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There are 8 modules in this course
What's included
10 videos2 readings3 assignments
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15 videos2 readings4 assignments
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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
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3 readings
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9 videos
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3 readings1 assignment
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318 reviews
- 5 stars72.10% 
- 4 stars16.30% 
- 3 stars6.58% 
- 2 stars2.82% 
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Reviewed on Dec 21, 2024
One of the most important courses in this specialization.
Reviewed on Dec 2, 2020
More examples would have been better to understand some of the concepts.
Reviewed on Dec 7, 2020
I was expecting the Medical genetics professor as a teacher also.
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