The Emerging Role of AI and Digital Health in Perioperative Medicine

PDF icon CNMC Anesthesiology GR Flyer 5.30.24.pdf

 

Learning objectives:
  • Explain the fundamental concepts of artificial intelligence (AI) in the context of anesthesia, including machine learning techniques and their applications in optimizing patient monitoring and drug administration.
  • Evaluate the benefits and challenges of integrating AI technologies into anesthesia practice, recognizing how AI-driven decision support systems can enhance patient safety, improve clinical outcomes, and enhance the efficiency of anesthesia care teams.
  • Discuss ethical and regulatory considerations associated with the use of AI in anesthesia, considering issues such as data privacy, transparency, accountability, and the role of healthcare professionals in maintaining control and oversight over AI-assisted procedures in the operating room.
Session date: 
05/30/2024 - 7:00am to 8:00am EDT
Location: 
Children's National Hospital & Virtual
United States
  • 1.00 AMA PRA Category 1 Credit

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Faculty List: 
Program Director(s)

Caroll Vazquez-Colon

has no relevant financial relationships to disclose at this time.
Speaker(s)

Jesse Ehrenfeld, MD MPH

has a financial relationship (Consulting Fee) with Masimo;.
has a financial relationship (Stock) with Augemedix;.
has a financial relationship (Other Securities) with Extrico Health;.