Stanford University
Evaluations of AI Applications in Healthcare
Stanford University

Evaluations of AI Applications in Healthcare

This course is part of AI in Healthcare Specialization

Taught in English

Some content may not be translated

Tina Hernandez-Boussard
Mildred Cho

Instructors: Tina Hernandez-Boussard

12,185 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.6

(200 reviews)

|

95%

Beginner level
No prior experience required
10 hours (approximately)
Flexible schedule
Learn at your own pace

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 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(200 reviews)

|

95%

Beginner level
No prior experience required
10 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

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 7 modules in this course

What's included

10 videos2 readings3 quizzes

What's included

15 videos2 readings4 quizzes

What's included

19 videos2 readings5 quizzes

What's included

18 videos2 readings5 quizzes

What's included

18 videos2 readings4 quizzes

Readings related to best ethical practices for AI in health care

What's included

3 readings

What's included

3 readings1 quiz

Instructors

Instructor ratings
4.6 (68 ratings)
Tina Hernandez-Boussard
Stanford University
2 Courses15,072 learners
Mildred Cho
Stanford University
2 Courses46,972 learners

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4.6

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