Evaluations of AI Applications in Healthcare
Completed by SHAO-YUNG LIN
May 4, 2021
11 hours (approximately)
SHAO-YUNG LIN's account is verified. Coursera certifies their successful completion of Evaluations of AI Applications in Healthcare
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
Skills you will gain
- Category: Healthcare Ethics
- Category: Clinical Assessment
- Category: Clinical Research Ethics
- Category: Health Technology
- Category: Health Disparities
- Category: Responsible AI
- Category: AI Integrations
- Category: Data Ethics
- Category: Predictive Modeling
- Category: Regulatory Compliance
- Category: Health Equity
- Category: Decision Support Systems
