DreamWhale: Advancing the Future of Oral Appliance Therapy

Over the past two decades, oral appliance therapy (OAT) has become one of the most important treatment options for patients with obstructive sleep apnea (OSA). For many individuals who cannot tolerate continuous positive airway pressure (CPAP), mandibular advancement devices offer an effective and comfortable alternative.

As awareness of sleep-disordered breathing continues to grow, dental sleep medicine has rapidly emerged as an important field within modern dentistry. Increasingly, dentists are becoming key participants in the diagnosis support, treatment, and long-term management of sleep-related breathing disorders.

Yet despite this progress, many challenges remain. Clinical protocols can vary widely across practices, measurement methods are often inconsistent, and clinicians frequently face the dilemma of selecting the most appropriate appliance design. It is hard to predict in advance which patients will respond well to OAT, and determining an accurate starting position for mandibular advancement remains one of the most critical—and sometimes most difficult—steps in oral appliance therapy.

At the same time, advances in digital dentistry, artificial intelligence, and connected medical technologies are opening new opportunities to improve how dental sleep medicine is practiced.

DreamWhale was founded with a clear vision: to develop an integrated digital ecosystem that helps dentists deliver more precise, more efficient, and more data-driven sleep apnea treatment.

The Expanding Role of Dentists in Sleep Medicine

The role of dentists in sleep medicine has expanded significantly in recent years. Today, dentists trained in dental sleep medicine are increasingly involved in screening patients for sleep-disordered breathing, performing oral examinations related to airway health, and providing customized oral appliance therapy.

However, the clinical workflow in dental sleep medicine is still evolving. Many practitioners rely on a combination of clinical experience, traditional bite registration tools, and varying protocols when determining mandibular advancement positions.

Unlike other areas of dentistry that have benefited from rapid digital transformation—such as implant planning or orthodontic aligner design—many aspects of dental sleep medicine remain only partially digitized.

For example, airway bite registration is often performed using mechanical tools and subjective assessment of mandibular position. Small variations during this step can influence treatment outcomes, yet clinicians often lack standardized systems that allow consistent measurement and documentation of mandibular positioning.

Improving measurement precision and workflow consistency therefore represents an important opportunity for advancing dental sleep medicine.

Improving Airway Bite Registration

One of the most important clinical procedures in oral appliance therapy is determining the initial mandibular advancement position.

Traditionally, many clinicians have used devices such as the George Gauge to capture an airway bite. While widely used and simple to operate, these tools typically measure only the anterior–posterior advancement of the mandible, without fully addressing other spatial components involved in mandibular positioning.

In reality, mandibular movement occurs in three dimensions. Vertical opening, lateral positioning, and mandibular rotation may all influence airway dynamics and patient comfort during therapy.

To address these limitations, DreamWhale developed the WhaleGauge, a multidimensional airway bite measurement platform designed specifically for dental sleep medicine.

The WhaleGauge incorporates clearly marked reference points, adjustable vertical components, and interchangeable bite forks to help clinicians capture airway bite registrations with improved stability and repeatability. These features allow clinicians to better control and document the spatial relationships involved in mandibular positioning.

Because research in dental sleep medicine has shown that even sub-millimeter differences in mandibular advancement can influence treatment outcomes, achieving consistent and reproducible bite registrations is essential.

The system is designed to support multiple airway bite registration techniques commonly used by dental sleep practitioners, including phonetic methods, neuromuscular approaches, and swallow-based registrations.

AI-Assisted Measurement and Clinical Analysis

While improved measurement tools represent an important step forward, emerging digital technologies may further transform how dental sleep medicine is practiced.

DreamWhale is developing AI-assisted software platforms that can help analyze patient measurements and clinical data collected during dental sleep examinations.

Using tablet-based imaging systems, clinicians or dental auxiliaries can capture patient facial metrics, mandibular motion patterns, and other anatomical information during clinical procedures. AI algorithms can then assist in analyzing these data points to support more consistent measurement and documentation.

For example, during phonetic bite registration methods, mandibular movements occur dynamically as patients pronounce specific phonemes. AI-based motion analysis may help identify key positions during these movements and provide reference coordinates that clinicians can use when capturing airway bites.

Such tools are intended to enhance clinical workflows by improving repeatability, documentation, and communication between clinicians and dental laboratories.

Over time, integrating facial analysis, dental arch morphology, occlusal characteristics, and other clinical variables may also help clinicians better understand patient phenotypes and treatment responses.

Data-Enabled Oral Appliance Therapy

Another promising development in dental sleep medicine involves integrating digital technologies into oral appliance therapy itself.

Data-enabled devices may provide clinicians with additional insights into patient compliance, therapy usage, and treatment effectiveness. Such information could help guide titration strategies, support long-term follow-up care, and improve communication between dentists, sleep physicians, and patients.

As digital dentistry continues to evolve, the integration of therapy devices, monitoring tools, and clinical software platforms may allow dental sleep practices to operate within a more connected and data-driven ecosystem.

These technologies also have the potential to support clinical research by generating real-world data on treatment outcomes across diverse patient populations.

Building the Future of Dental Sleep Medicine

DreamWhale's long-term goal is to develop a comprehensive ecosystem that integrates measurement tools, digital analysis platforms, oral appliance technologies, and patient monitoring systems into a unified workflow for dental sleep medicine.

By connecting these components, clinicians may be able to simplify treatment protocols, improve measurement precision, and enhance long-term therapy outcomes.

With millions of patients worldwide still undiagnosed or untreated for sleep-disordered breathing, the opportunity for dentists to play a larger role in sleep healthcare continues to grow.

Advances in digital dentistry, artificial intelligence, and biomedical engineering are now providing new tools to support that role.

DreamWhale believes that the future of dental sleep medicine will be more precise, more connected, and increasingly data-driven—empowering dentists to deliver better care for patients affected by sleep-related breathing disorders.