Anything is Possible with New Advances in Skull Base AI - Section 2
7th March, 2026, 08:35 - 09:35
Pacific E
This session is designed for all clinicians to become familiar with and learn about artificial intelligence (AI), the basic concepts of AI and potential applications in multidisciplinary care of skull base patients. This session will present new advances in AI and Graph Networks, skull base neurosurgery and otolaryngology applications, spine imaging, and the importance of avoiding bias in data algorithms.
Objectives
At the conclusion of this session, attendees will be able to:
- Recognize the basic tenets of artificial intelligence and how it is used to diagnose, evaluate, and treat skull base patients.
- Critically evaluate the use of AI and explore biases in AI algorithm performance.
- Assess and recognize new techniques in artificial intelligence (AI), including its application to medical image analysis, digital pathology, and surgical applications.
Current Schedule
As a faculty member of this session, you can click on names to email the speaker. Phone numbers are below names
Speaker | Title | Role | Times |
---|---|---|---|
Nancy Pham 2169701549 |
Moderator | - | |
Vivek Buch 5012408158 |
Moderator | - | |
Christopher Whitlow |
AI & Graph Networks in Neuroradiology and Skull Base Imaging | Speaker | 8:35 am - 8:44 am |
Omar Arnaout 617-525-8135 |
From Training to Outcome Prediction: How AI is Advancing Neurosurgery | Speaker | 8:44 am - 8:53 am |
Amish Doshi |
Maximizing AI for Use in Skull Base, Spine Imaging & Patient Care | Speaker | 8:53 am - 9:02 am |
Anais Rameau |
AI and ENT Applications: A New Perspective | Speaker | 9:02 am - 9:11 am |
Ona Wu |
AI, Ethics, Big Data and Bias - Avoiding Bias in AI Algorithms | Speaker | 9:11 am - 9:20 am |
Polat Goktas |
Seeing New Possibilities in the Future: AI and Ophthalmology | Speaker | 9:20 am - 9:29 am |
|
Q&A | 9:29 am - 9:35 am |