Deep Dive: An Introduction to AI in Critical Care Medicine (Chicago)

Equip yourself with foundational skills and perspectives necessary to leverage artificial intelligence (AI) effectively and responsibly in critical care environments. Experts will discuss various applications of AI, using real-world demonstrations of how these technologies can enhance patient outcomes, streamline workflows, and support clinical decision-making.

Gain insights into the practical aspects of AI implementation and integration within healthcare settings, addressing the technical, organizational, and infrastructural challenges involved. The course also emphasizes the importance of ethical and legal considerations, fostering a critical understanding of data privacy, consent, accountability, and the potential biases inherent in AI systems.

Please note: This precourse will not teach how to build machine learning models. Instead, it will provide a landscape of the field and guidance on how to navigate the immediate future of healthcare that is increasingly incorporating AI tools.

The course includes:

• Half-day of in-person education
• Up to 3.75 accredited continuing education credits and maintenance of certification points

Learning objectives:

• Recognize various applications of AI that can enhance patient outcomes, streamline workflows, and support clinical decision making
• Examine the practical aspects of AI implementation and integration within healthcare settings
• Describe the technical, organizational, and infrastructure-related challenges involved in leveraging AI in critical care environments
• Explain the importance of ethical and legal considerations and the potential biases inherent in AI systems