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S-102: Digital advancements in oral appliance therapy for obstructive sleep apnea

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Session Schedule

Find a specific presentation in the course by navigating to the timestamp indicated below.

0:00:00
Introduction

0:03:10
Artificial Intelligence enabled predictive metrics in personalizing OSA treatments
Timothy Morgenthaler (United States)

0:25:30
Facial features of patients with obstructive sleep apnea – “Is the picture worth a thousand words?”
Fernanda Almeida (Canada)

0:38:10
Innovations in digital technology for predicting outcomes with oral appliance therapy
Olivier Vanderveken (Belgium)

1:03:55
Current and future trends in end-to-end digital workflow in oral appliance therapy: Challenges and opportunities in middle-income countries
Premthip Chalidapongse (Thailand)

1:26:40
Question and answer

Summary

Obstructive sleep apnea (OSA) is a prevalent condition with a significant impact on both mortality and morbidity worldwide. Although positive airway pressure (PAP) therapy remains the gold standard for managing OSA, alternative treatments such as oral appliances and hypoglossal nerve stimulators have gained increasing importance in recent years. Specifically, oral appliance therapy emerged as a key alternative due to its favorable therapeutic efficacy and patient adherence.
Recent technological advancements have revolutionized oral appliance therapy, introducing an end-to-end digital workflow that is both precise and tailored to individual patient needs. The integration of artificial intelligence and remote monitoring technologies offers promising potential for predictive analytics, enabling a shift toward more personalized and precise treatment planning for OSA patients.
This symposium, featuring a distinguished panel of international experts, will explore these innovative strategies to enhance the precision and personalization of oral appliance therapy (OAT) for OSA. Each speaker will highlight the role of digital technologies—from artificial intelligence to 3D imaging—in improving clinical predictions of success and minimizing complications. The discussions will emphasize the global significance of personalized approaches in dental sleep medicine, addressing the diverse clinical practices and patient demographics encountered worldwide.
By bringing together experts from across the globe and from multiple disciplines, this symposium aims to deliver high-quality, cutting-edge content that will engage attendees. The integration of global perspectives and the spotlight on digital advancements driving collaboration between dentistry and medicine align seamlessly with the mission of the World Sleep Conference—a premier forum for global interdisciplinary scientific education. Attendees will leave with actionable insights on leveraging emerging technologies to enhance patient-centered care for OSA.

Learning Objectives:

Upon completion of this CME activities, participants will be able to:
• Evaluate emerging digital technologies and their evidence-based applications in Dental Sleep Medicine.
• Explore the practical application of digital solutions in dental sleep treatment protocols.
• Assess treatment outcomes using data-driven insights from digital technologies.
• Appreciate emerging and current evidence in the importance of AI-augmented diagnostic tools toward precision in treatment selection
• Evaluate the significance of digital craniofacial metrics in predicting oral appliance therapy outcomes
• Insights from smartphone application and wearable technology geared toward real-time monitoring of OSA treatment outcomes
• Significance of digital craniofacial metrics in the assessment and management of obstructive sleep apnea with oral appliance therapy
• Evaluate Drug-induced sleep endoscopy (DISE) as a tool for predicting the efficacy of OAT
• Explore the integration of digital technologies into oral appliance therapy for OSA patients
• Demonstrate the practical application of digital tools in treatment selection and patient monitoring in a middle-income country context
• Identify future trends in digital OAT and how they can be adapted to diverse healthcare contexts

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