Description for AI in Healthcare. Hype or Help?
Fundamentals of AI in Healthcare: Provides an explanation of the primary concepts of AI techniques that are relevant to healthcare, as well as the important enabling factors and limitations.
Value and Risks of AI in Healthcare: Identifies the additional value that AI provides to healthcare applications, while also addressing potential risks and challenges.
Healthcare Data and Regulations: Defines the data requirements for AI in healthcare and analyzes the societal, ethical, and legal regulations that are essential for its application.
AI in Clinical Practice: Examines the practical implementations and impact of AI applications in clinical settings, focusing on real-world use cases.
Level: Advanced
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by GalileoX
Duration: 2�5 hours per week approx 10 weeks
Schedule: Flexible
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