- Clinical Assessment
- Health Informatics
- Application Deployment
- Health Technology
- Healthcare Ethics
- Regulatory Compliance
- Predictive Modeling
- Decision Support Systems
- Data Ethics
- Artificial Intelligence
- Responsible AI
- Health Equity
Evaluations of AI Applications in Healthcare
Completed by Caio Cesar Seung June Chun
January 10, 2024
11 hours (approximately)
Caio Cesar Seung June Chun'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
