Data Augmented Technology Assisted Medical Decision Making
Completed by Jesus Isaac Luna
February 20, 2025
11 hours (approximately)
Jesus Isaac Luna'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: AI Integrations
- Category: Health Informatics
- Category: Data Ethics
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Healthcare Ethics
- Category: Health Policy
- Category: Statistical Machine Learning
- Category: Probability & Statistics
- Category: Patient Communication
- Category: Model Evaluation
- Category: Health Technology
- Category: Artificial Intelligence
