Deep Learning and AI in Neuro-Ophthalmology: What is the Clinical Utility? | Neurology Grand Rounds (RECORDING)

Tuesday, March 25, 2025, 12:00 AM - Friday, March 24, 2028, 11:59 PM, On Demand

In this Neurology Grand Rounds presentation, Dr. Heather Moss, professor of neurology and ophthalmology at Stanford Medicine, delivers a compelling talk on the application of artificial intelligence (AI) and deep learning in neuro-ophthalmology. She highlights the evolving role of AI in clinical decision-making, particularly in diagnosing and managing optic nerve disorders.
Dr. Moss discusses AI as a predictive model, including deep learning and machine learning, functions similarly to traditional medical models like regression analyses or diagnostic scores. Dr. Moss also reviews the Bonsai model for detecting papilledema via fundus photos, demonstrating high sensitivity and specificity. Dr. Moss expresses that while promising, the implementation of AI-based diagnostics requires careful consideration of its clinical impact and generalizability. Dr. Moss addresses concerns around bias, fairness, and the need for validation in diverse patient populations and stresses that AI models must be continually tested and refined to avoid disparities in diagnostic accuracy across different demographics. Dr. Moss concludes by advocating for AI as a tool to enhance—not replace—clinical decision-making and underscores the need for rigorous validation, fairness, and structured integration into healthcare systems to ensure AI-driven advancements improve patient care and provider efficiency.

  Release Date: March 25, 2025
  Expiration Date: March 24, 2028
  Estimated Time to Complete: 1.0 hours
  Registration Fee: FREE
 *Originally recorded 01/17/2025

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AMA PRA Category 1 Credits™ (1.00 hours), Non-Physician Participation Credit (1.00 hours)

1. Discuss AI as a predictive model, including deep learning and machine learning, and functions similar to traditional medical models.
2. Review the Bonsai model for detecting papilledema via fundus photos.
3. Identify the ethical considerations of AI in medicine, including patient autonomy, privacy, and maintaining clinical oversight.

In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 

Credit Designation 
American Medical Association (AMA) 
Stanford Medicine designates this Enduring Material for a maximum of 1.00 AMA PRA Category 1 Credits^TM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity. 

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Cultural and Linguistic Competency
The planners and speakers of this CME activity have been encouraged to address cultural issues relevant to their topic area for the purpose of complying with California Assembly Bill 1195. Moreover, the Stanford University School of Medicine Multicultural Health Portal contains many useful cultural and linguistic competency tools including culture guides, language access information and pertinent state and federal laws.  You are encouraged to visit the Multicultural Health Portal: https://laneguides.stanford.edu/multicultural-health

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     Email: [email protected]

Mitigation of Relevant Financial Relationships

Stanford Medicine adheres to the Standards for Integrity and Independence in Accredited Continuing Education.

There are no relevant financial relationships with ACCME-defined ineligible companies for anyone who was in control of the content of this activity. 

Faculty Member Information	Role in activity	Name of commercial interest/Nature of relationship
Kate Therkelsen, MD	Course Director	Nothing to Disclose
Tara Torabi, MD	Planner	Nothing to Disclose
Rachel Walsh, MD	Planner	Nothing to Disclose
Gregory Wong, MD	Planner and Reviewer	Nothing to Disclose
Jose Eduardo Espindola Lima, MD	Planner and Reviewer	Nothing to Disclose
Heather Moss, MD, PhD	Faculty	Nothing to Disclose