- Healthcare Industry Knowledge
- Continuous Monitoring
- Patient Safety
- Data Ethics
- Clinical Data Management
- Health Equity
- Regulatory Compliance
- Decision Support Systems
- Artificial Intelligence
- Health Disparities
- Predictive Modeling
- Health Technology
Evaluations of AI Applications in Healthcare
Completed by Eda AYDIN
October 2, 2024
11 hours (approximately)
Eda AYDIN'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
