Senior Director, PeriOperative Advanced Practice Memorial Sloan Kettering Cancer Center New York, NY, United States
Advances in artificial intelligence (AI) are transforming healthcare, offering new opportunities to enhance clinical decision-making, streamlining workflows, and improving patient care. This presentation provides practicing clinicians with a foundational understanding of AI, including machine learning, large language models (LLMs), and their applications in medicine. We will explore real-world AI use cases in radiology, surgery, primary care, and clinical documentation. Attendees will gain insights into AI’s role in improving EHR usability, reducing administrative burden, and enhancing clinical efficiency. Additionally, we will discuss the ethical challenges, risks, and regulatory considerations surrounding AI adoption in healthcare. The session will include interactive polling and Q&A to engage clinicians in critical discussions about AI’s present and future impact on medical practice. By the end, participants will be equipped with practical knowledge to navigate AI’s growing role in their clinical workflows.
Learning Objectives:
At the conclusion of this session, participants should be able to:
Recall the fundamentals of artificial intelligence and large language models and how they apply to clinical practice
Explore real-world applications of AI in medicine, including clinical decision support, radiology, surgery, and EHR usability
Evaluate the benefits, challenges, and ethical considerations of AI in healthcare to inform responsible AI adoption in clinical settings