- Healthcare Industry Knowledge
- Continuous Monitoring
- Clinical Assessment
- Clinical Informatics
- Data Ethics
- Health Equity
- Regulatory Compliance
- Clinical Research Ethics
- Decision Support Systems
- AI Personalization
- Responsible AI
- Predictive Modeling
Evaluations of AI Applications in Healthcare
Completed by Martin Collyer
January 17, 2024
11 hours (approximately)
Martin Collyer'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
