Overview:

Artificial Intelligence (AI) is increasingly influencing clinical practice from diagnostic support and predictive analytics to workflow automation and patient engagement.

However, for many healthcare professionals, AI remains a complex or even intimidating concept.

This course is designed to demystify AI and provide clinicians, nurses, and allied health professionals with the core knowledge they need to engage meaningfully with AI tools in everyday practice. Through real-world examples and clear, jargon-free explanations, participants will gain the confidence to evaluate, question, and collaborate on AI initiatives in their clinical settings.

Why should you Attend:

• Understand the basic principles of AI and machine learning in clinical medicine
• Identify common AI use cases in diagnostics, treatment planning, and patient monitoring
• Recognize the benefits, limitations, and risks of AI tools in a clinical environment
• Ask the right questions when evaluating AI-enabled products or systems
• Participate confidently in AI-related discussions, pilots, or implementations within their healthcare organization

• Module 1: Jump start- ChatGPT
  • Getting started with ChatGPT
  • How to write Prompts
  • Examples in everyday life
• Module 2: Clinical Use Cases for AI
  • Radiology: image interpretation and triage tools
  • Primary Care: decision support and early diagnosis
  • ICU & Emergency: risk prediction and early warning systems
  • Case studies: ChatGPT-style triage assistant, sepsis prediction model, AI-assisted imaging
• Module 3: Risks, Myths, and Limitations
  • The "black box" problem: can you trust the output?
  • Algorithmic bias and its impact on clinical outcomes
  • Regulatory landscape and FDA considerations
  • Myth-busting: AI is not here to replace you but to assist
• Module 4: What Medical Professionals Need to Ask
  • Key questions when introduced to an AI tool:
    • What data was it trained on?
    • Is it explainable and interpretable?
    • Who's responsible for errors?
  • Framework for critical evaluation
• Module 5: Becoming AI-Ready
  • How to stay informed and advocate for safe use
  • Building AI literacy in your team or institution
  • The future of medicine: humans + machines, not one vs. the other
• Wrap-Up & Discussion
  • Open Q&A: Real-world concerns and insights
  • Resources for continued education and engagement

• This course is designed specifically for non-technical healthcare professionals, including:
  • Physicians and Surgeons
  • Nurses and Advanced Practice Providers
  • Medical Residents and Fellows
  • Allied Health Professionals
  • Clinical Researchers and Educators
  • Healthcare Administrators and Quality Leaders
  • No technical or programming background is required