About
This course provides a comprehensive overview of how artificial intelligence is applied within clinical decision support systems and diagnostic workflows. You will learn the technical foundations of machine learning in healthcare, the integration of AI tools into electronic health records, and the practical application of algorithms in imaging and pathology. The curriculum covers regulatory frameworks, ethical considerations, and data privacy requirements essential for healthcare professionals implementing AI solutions. By examining real-world case studies, participants will understand how to evaluate AI performance and effectively use these technologies to support diagnosis and patient management in a professional clinical setting.
You can also join this program via the mobile app. Go to the app
Overview
- Introduction to Machine Learning in Medicine
- Data Quality and Medical Data Standards
- Foundations Quiz
- Computer Vision in Radiology
- Evaluating AI Diagnostic Accuracy