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Panel Presentations

Comprehensive Otolaryngology

Entering the Artificial Intelligence (AI) Age: How AI Is Transforming Otolaryngology

Tuesday, October 1, 2024
9:30 AM – 10:30 AM EDT
Location: MBCC, 206
CME/MOC Credit: 1
Disclosure(s):
Alexander Rivero, MD, FACS:

faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

Anthony B. Law, MD, PhD:

faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

Megan L. Durr, MD:

faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

Matthew G. Crowson, MD:

faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

Brian C. Lobo, MD:

faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

PROGRAM DESCRIPTION: Artificial intelligence (AI) is the simulation of human intelligence processes by computer systems. Machine learning (ML) is a subset of AI that involves the development of algorithms and statistical models that enable computer systems to improve their performance with experience automatically without being explicitly programmed. Machine learning enables computers to learn from data and use that learning to make predictions or take actions without being explicitly programmed to perform the task. In this panel, we would provide an overview of the current and potential use of AI technology in the field of Otolaryngology with a purpose to educate practitioners and researchers on the benefits and limitations of using AI in otolaryngology, such as improved diagnostic accuracy and increased efficiency, as well as potential ethical concerns. Attendees would be informed about the current state of AI in otolaryngology and to discuss the potential future developments and implications for the field.

Learning Objectives:

  1. Explain the current use of AI in otolaryngology across the subspecialties as well as its associated opportunities and limitations.
  2. Evaluate the future role of AI in improving patient outcomes and experience and medical education.
  3. Analyze the potential ethical concerns associated with the use of AI in otolaryngology.

    Moderator(s)

  • Alexander Rivero, MD, FACS

    Associate Professor
    Kaiser Permanente Med Group - Northern California
    Oakland, CA, United States

    Disclosure(s):

    faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

    • Panelist(s)

  • AL

    Anthony B. Law, MD, PhD

    Assistant Professor
    Emory University
    Atlanta, GA, United States

    Disclosure(s):

    faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

  • Megan L. Durr, MD

    Associate Professor
    University of California, San Francisco
    San Francisco, California, United States

    Disclosure(s):

    faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

  • Matthew G. Crowson, MD

    Director of Clinical Informatics and AI
    Mass Eye and Ear
    Wellesley, MA, United States

    Disclosure(s):

    faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.

  • BL

    Brian C. Lobo, MD

    Associate Professor Associate CMIO
    University of Florida College of Medicine
    Yes, FL, United States

    Disclosure(s):

    faculty for this accredited education activity has no relationship(s) with ineligible companies to disclose.