Personalized Sleep Apnea Treatment System
Legal Citation
Summary of the Inventive Concept
A next-generation sleep apnea treatment system that leverages AI, 3D printing, and real-time monitoring to provide customized dental appliances and optimize airflow during sleep.
Background and Problem Solved
The original patent's method and system for homogeneous dental appliances have limitations in terms of customization and real-time adaptability. The new inventive concept addresses these limitations by integrating AI, machine learning, and IoT technologies to create a personalized sleep apnea treatment system.
Detailed Description of the Inventive Concept
The system comprises a neural network trained on a dataset of oral characteristic data and sleep patterns to predict optimal dentition data and forward mandibular position for a patient. A 3D printing module fabricates a customized dental appliance based on the predicted data. Real-time monitoring and adjustment are enabled through a sensor embedded in the dental appliance and a cloud-based server that analyzes the data and provides personalized recommendations. The system can also integrate virtual reality and swarm intelligence-based design optimization to further enhance its performance.
Novelty and Inventive Step
The new claims introduce AI-driven prediction, real-time monitoring, and decentralized optimization, which are not present in the original patent. These innovations enable a more personalized and adaptive sleep apnea treatment system that can improve treatment outcomes and patient comfort.
Alternative Embodiments and Variations
Alternative embodiments may include using different AI algorithms, integrating additional sensors or data sources, or incorporating other manufacturing techniques such as milling or injection molding. Variations may also include adapting the system for other sleep disorders or medical conditions.
Potential Commercial Applications and Market
The personalized sleep apnea treatment system has significant commercial potential in the sleep technology and dental industries, with potential applications in healthcare, insurance, and research institutions.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61F5/56 |
| A | A61 | A61C7/08 |
| A | A61 | A61C7/36 |
| B | B29 | B29C45/00 |
| B | B29 | B29C51/10 |
| B | B29 | B29C64/00 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical device design, dental prosthetics, sleep apnea treatment technologies, additive manufacturing (3D printing), and biomedical engineering with a focus on personalized medical devices
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or dental technology specialist with expertise in 3D printing, materials science, machine learning applications in medical device design, and sleep disorder treatment technologies. Possesses advanced knowledge of CAD/CAM systems, biomaterials, and adaptive medical device design principles
Obviousness Rationale
A person having ordinary skill in the art would recognize that integrating AI-driven design, real-time monitoring, and adaptive manufacturing techniques represents a predictable extension of existing dental appliance technologies. The source patent's foundation of 3D-printed customized dental devices provides a clear technological framework that naturally invites computational optimization and personalization strategies. The proposed variations demonstrate incremental improvements using known techniques in machine learning, sensor integration, and advanced manufacturing that would be obvious to a skilled practitioner seeking to enhance sleep apnea treatment effectiveness.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,456 |
|---|---|
| Title | Method and system for homogeneous dental appliance |