Next-Generation Respiratory Therapy Platform

Publication ID: 24-11857726_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Respiratory Therapy Platform,” Published Technical Disclosure No. 24-11857726_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857726_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,726.

Summary of the Inventive Concept

A futuristic, AI-driven respiratory therapy ecosystem that integrates machine learning, additive manufacturing, wearable sensors, and cloud-based analytics to revolutionize patient care and treatment outcomes.

Background and Problem Solved

The original patent for the mask sizing tool using a mobile application has limitations in terms of accuracy, customization, and real-time feedback. The new inventive concept addresses these limitations by leveraging advanced technologies to provide a more comprehensive and personalized approach to respiratory therapy.

Detailed Description of the Inventive Concept

The next-generation platform comprises four key components: (1) a machine learning-based system for optimizing patient interface selection using 3D facial scans, (2) an additive manufacturing module for generating customized patient interfaces, (3) a wearable device with integrated sensors for real-time monitoring of respiratory health, and (4) a cloud-based platform for remote monitoring, AI-powered analytics, and personalized treatment recommendations. The platform's neural network is trained on a dataset of facial geometries to predict ideal interface sizes, and the additive manufacturing module uses patient-specific facial topography to create customized interfaces. The wearable device tracks breathing patterns and provides real-time feedback, while the cloud-based platform analyzes patient data to predict treatment outcomes and offer personalized recommendations.

Novelty and Inventive Step

The new claims introduce a paradigm shift in respiratory therapy by integrating machine learning, additive manufacturing, and wearable sensors to provide a highly customized and real-time approach. The inventive step lies in the combination of these advanced technologies to create a holistic platform that addresses the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the platform could include the use of different machine learning algorithms, various types of wearable sensors, or alternative cloud-based analytics platforms. Additionally, the platform could be adapted for use in other medical fields, such as sleep therapy or cardiovascular care.

Potential Commercial Applications and Market

The next-generation respiratory therapy platform has significant commercial potential in the healthcare industry, particularly in the respiratory care and sleep therapy markets. The platform's ability to provide personalized, real-time treatment recommendations and customized patient interfaces could lead to improved treatment outcomes, increased patient satisfaction, and reduced healthcare costs.

CPC Classifications

SectionClassGroup
A A61 A61M16/06
A A61 A61B5/097
A A61 A61B5/1077
A A61 A61B5/1079
A A61 A61M16/0051
A A61 A61M16/021
G G06 G06V10/7553
G G06 G06V40/171
G G16 G16H20/40
G G16 G16H30/40
G G16 G16H40/63
A A61 A61B5/7264
A A61 A61M2016/0661
A A61 A61M2205/3306
A A61 A61M2205/3553
A A61 A61M2205/3584
A A61 A61M2205/3592
A A61 A61M2205/50
A A61 A61M2205/505
A A61 A61M2205/52
A A61 A61M2205/6063
A A61 A61M2205/6072
A A61 A61M2230/00
G G16 G16H10/60

Field of Art

Medical device technology, specifically respiratory therapy interfaces, machine learning-based medical diagnostics, and wearable health monitoring systems with expertise in computer vision, sensor integration, and adaptive medical technologies

Person of Ordinary Skill (PHOSITA) Profile

A multidisciplinary professional with advanced degrees in biomedical engineering, computer science, or medical device design, possessing knowledge of machine learning, medical imaging, sensor technologies, and adaptive interface design

Obviousness Rationale

A PHOSITA would recognize that the PTD's integration of machine learning, 3D scanning, and additive manufacturing represents a predictable technological progression from the source patent's mobile application-based mask sizing approach. The core technical problem of optimizing patient interface selection remains consistent, with the PTD merely applying more advanced computational and manufacturing techniques to solve the same fundamental challenge. The incremental improvements in facial feature analysis, interface generation, and real-time monitoring would be considered obvious extensions of existing medical device design principles.

Obvious Combinations & Variations

Source Patent Element
Mobile application-based patient interface sizing using facial feature measurements
PTD Variation
Machine learning neural network trained on 3D facial geometry datasets to predict interface sizes
Obviousness Reasoning
Applying machine learning to an existing measurement technique represents a known method of improving computational accuracy and automation, with predictable results in interface optimization
Source Patent Element
Digital image processing for facial feature measurement
PTD Variation
Additive manufacturing of customized patient interfaces based on precise 3D facial topography
Obviousness Reasoning
Extending digital measurement techniques to direct manufacturing is a logical progression in personalized medical device design, representing a finite and predictable solution to interface customization
Source Patent Element
Computer-readable medium for processing patient interface selection instructions
PTD Variation
Cloud-based platform with AI-powered analytics for remote monitoring and personalized treatment recommendations
Obviousness Reasoning
Integrating cloud computing and AI into existing medical device instruction processing is a standard technological evolution with known techniques for enhancing diagnostic capabilities
Source Patent Element
Measurement of facial features for interface sizing
PTD Variation
Wearable sensor array integrated into smart mask for real-time respiratory monitoring
Obviousness Reasoning
Augmenting interface measurement with continuous physiological tracking represents a natural extension of medical device functionality using established sensor integration techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857726 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and therefore unpatentable. The incremental advancements in machine learning, additive manufacturing, and sensor integration represent predictable technological progressions that do not meet the non-obviousness requirements under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,726
TitleMask sizing tool using a mobile application
Assignee(s)ResMed Pty Ltd