AI in Skull Base Surgery, Head and Neck Radiology
17th February, 2024, 07:30 - 08:30
M301

The continued advances in artificial intelligence (AI) and machine learning (ML), have grown dramatically in the past decade, affecting the ability to diagnosis tumors, quantitate pathology and predict disease outcomes. (1-3). This session presents current work on how artificial intelligence and machine learning, presenting the basic `pearls` and `pitfalls`, and how AI and ML are currently utilized in patients with skull base pathology, the impact diagnosis, treatment planning, determining pathology and predicting patient outcomes.

Objectives

At the conclusion of this session, attendees will be able to:

• Appraise AI applications in Head and Neck Imaging and their utility in radiopathologic correlation.
• Distinguish subtypes of AI applications for skull base, vascular, spine, tumor, pediatric radiographic and pathologic evaluations.

Current Schedule

As a faculty member of this session, you can click on names to email the speaker. Phone numbers are below names