Data Augmented Technology Assisted Medical Decision Making
Completed by Pragna Thotakura
May 27, 2026
11 hours (approximately)
Pragna Thotakura'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 Care Procedure and Regulation
- Category: AI Integrations
- Category: Clinical Research
- Category: Probability & Statistics
- Category: Responsible AI
- Category: Health Policy
- Category: Machine Learning
- Category: Statistical Machine Learning
- Category: Data Ethics
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Patient Communication
