Coursera

Evaluations of AI Applications in Healthcare (Coursera)

Offered by Stanford University,

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.

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What You Will 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

Course 4 of 5 in the AI in Healthcare Specialization

Syllabus

WEEK 1: AI in Healthcare
WEEK 2: Evaluations of AI in Healthcare
WEEK 3: AI Deployment
WEEK 4: Downstream Evaluations of AI in Healthcare: Bias and Fairness
WEEK 5: The Regulatory Environment for AI in Healthcare
WEEK 6: Best Ethical Practices for AI in Health Care
Readings related to best ethical practices for AI in health care
WEEK 7: Course Wrap Up

Go to Class

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