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University of Colorado System

AI Agents in Healthcare and Capstone

University of Colorado System via Coursera

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Overview

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This course begins by exploring agentic AI and AI-driven agents in healthcare, focusing on their role in automation, decision support, and system optimization. Learners will understand how these AI-driven systems enhance healthcare processes before applying their knowledge in a capstone project. Participants will design a comprehensive AI-driven healthcare plan, execute key components, and develop a structured implementation strategy. The course culminates in a detailed report outlining execution insights and future steps for AI integration in healthcare.

Syllabus

  • Models to Agents in Health AI
    • Introduces the transition from static AI models to dynamic, agent-based systems in healthcare.
  • Health AI Relevant Design and Ethics Issues
    • Focuses on the ethical, fairness, and design considerations essential for responsible health AI.
  • Capstone Project for a Hands-on Learning on AI in Healthcare
    • A practical, project-based module where students apply learned concepts to real-world AI in healthcare.

Taught by

Jiban Khuntia

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