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Why Participate?


  • Build a strong AI/ML foundation
    Understand key terminology, concepts, and emerging trends in AI and machine learning.

  • Apply AI in real-world healthcare settings
    Discover how these tools support clinical decision-making, streamline care, and enhance outcomes.

  • Examine ethical and legal considerations
    Explore privacy concerns, data biases, and regulations shaping the responsible use of AI in medicine.

  • Understand the role of healthcare data
    Learn about data structure, integrity, and governance in building reliable ML models.

  • Engage with clinical case studies
    Analyze real-world examples of AI improving diagnostics, treatment planning, and patient management.

  • 100% online & asynchronous – no scheduled meetings

  • Complete 5 interactive modules (~2–4 hours each) via edX

  • Flexible timeline: June–August (start anytime)

  • AMSA provides optional readings, discussion prompts, and a community forum for networking and deeper learning