Episode # 191 • 17 Sept 2024
AI in Laryngology: Enhancing Patient Diagnosis
Artificial Intelligence (AI) already powers search results and chat bots, but what if it could help physicians diagnose cancer? In this episode of the BackTable ENT podcast, laryngologist Dr. Anthony Law of Emory University discusses applications of AI to laryngology with host Dr. Ashley Agan and guest host Dr. Mihir Patel, also of Emory.
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Timestamps
00:00 - Introduction
04:18 - Understanding Deep Neural Networks
07:13 - Applications of AI in Clinical Practice
15:08 - Data Security and Privacy Concerns
25:09 - Collecting Representative Data
31:13 - Biometrics: The Future of Medicine?
39:12 - Challenges & Costs of AI
42:26 - Final Thoughts & Future Directions
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More about this episode
First, Dr. Law discusses how he connects his passions for laryngology and machine learning as a surgeon-scientist. Before opening the conversation, he defines terms needed to understand AI in medicine. Then, he discusses his work using deep learning models to identify laryngeal cancer patients based on voice recordings. Ideally, he envisions deploying his model (which is over 90% accurate) to help primary care physicians make timely ENT referrals. Mindful of the impact technology has, Dr. Law reviews technical and ethical concerns accompanying use of AI in medicine, which include underrepresented patient groups in research, patient privacy, and safe use of technology. Finally, he offers insight into the future of AI research more broadly.
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