“Artificial Intelligence in Otolaryngology: Transforming Education, Research, Clinical Care, and Innovation ” examines the practical implementation of artificial intelligence (AI) across the full spectrum of otolaryngologic practice and education. While current AI applications in otolaryngology often focus on documentation and language models, this panel explores the broader potential of computer vision, deep learning architectures, and augmented reality to address unmet medical needs and transform patient care.
Credit & MOC Details
Credit information is provided by the course provider. We recommend confirming credit eligibility with the provider or your licensing board before starting the activity.
Credit types
MOC types
FDA REMS
Qualifies for MIPS
Target Specialties
Specialties served/covered
- Allergy & Clinical Immunology
- Diagnostic Radiology
- Facial Plastic & Reconstructive Surgery
- Foot & Ankle Surgery
- General Otolaryngology
- Head & Neck Surgery
- Interventional Radiology
- Laryngology
- Medical Oncology
- Neuroradiology
- Otology & Neurotology
- Pediatric Otolaryngology
- Pediatric Radiology
- Rhinology
- Sleep Medicine
- ENT & Head Neck
- Medical Subspecialties
- Oncology & Hematology
- Orthopedics
- Radiology
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- Enduring / On-demand
- Credit · Up to 1 credit
- MOC · Up to 1 point
- Paid · fee on provider site
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ReleasedDec 1, 2025
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Last day to claim creditDec 2, 2028 2 years left
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American Academy of Otolaryngology – Head & Neck Surgery Foundation Unlocking the Power of Artificial Intelligence in Otolaryngology: A Beginner’s Guide (2024 AMW)
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American Academy of Otolaryngology – Head & Neck Surgery Foundation Artificial Intelligence in Otolaryngology Education and Research: Paradigm Shift or Pandora s Box (2024 AMW)
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American Academy of Otolaryngology – Head & Neck Surgery Foundation Artificial Intelligence for the Otolaryngologist: Everything You Need to Know and Worry About (2024 AMW)
