Data Augmented Technology Assisted Medical Decision Making
Completed by Luciana Valeria Jara Urquizo
October 25, 2024
11 hours (approximately)
Luciana Valeria Jara Urquizo's account is verified. Coursera certifies their successful completion of Data Augmented Technology Assisted Medical Decision Making
What you will learn
Describe the crucial role, strengths, limitations of AI and ML in evidence-based medical decision making
Evaluate machine learning studies for bias and systematic error to enhance diagnostic decisions.
Apply the results of machine learning studies and outputs to diagnostic decisions.
Identify legal and ethical issues and best practices for AI and ML use in healthcare settings
Skills you will gain
- Category: Health Disparities
- Category: Responsible AI
- Category: Health Technology
- Category: Model Evaluation
- Category: Statistical Machine Learning
- Category: Applied Machine Learning
- Category: Health Care Procedure and Regulation
- Category: Patient Communication
- Category: Health Policy
- Category: Diagnostic Tests
- Category: Clinical Research
- Category: Probability & Statistics
