Advanced Neoplasia Detection and Proactive Breast Health Management System

Publication ID: 24-11857369_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Neoplasia Detection and Proactive Breast Health Management System,” Published Technical Disclosure No. 24-11857369_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857369_0010_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. 11,857,369.

Summary of the Inventive Concept

A next-generation ultrasound imaging system leveraging AI, machine learning, and advanced analytics to provide real-time, personalized risk assessment and proactive breast health management.

Background and Problem Solved

The original patent, while pioneering remote ultrasonic scanning and informational imaging, had limitations in terms of image analysis, risk assessment, and personalized health management. The new inventive concept addresses these limitations by integrating AI, machine learning, and advanced analytics to provide a more comprehensive and proactive approach to breast health management.

Detailed Description of the Inventive Concept

The advanced neoplasia detection and proactive breast health management system consists of a wearable scanner module with integrated AI for real-time image analysis and personalized risk assessment. The scanner module is configured to adapt to individual breast anatomy and tissue density, providing high-resolution, 3D images of breast tissue. The system also includes a cloud-based computing resource for processing and analyzing imaging data, and a secure, patient-centric portal for accessing personalized health information and recommendations. The wearable scanner module features a flexible, conformable array of ultrasonic transducers, an integrated neural network for real-time image processing and feature extraction, and a wireless communication interface for seamless data transfer to a remote computing resource.

Novelty and Inventive Step

The new inventive concept's integration of AI, machine learning, and advanced analytics for real-time, personalized risk assessment and proactive breast health management constitutes a significant departure from the original patent. The use of machine learning capabilities to identify early indicators of neoplasia, generate personalized health risk profiles, and recommend targeted preventive measures represents a substantial improvement over existing technologies.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in the design of the wearable scanner module, such as different array configurations or sensor modalities. Additionally, the system could be adapted for use in other medical imaging applications, such as cardiovascular or musculoskeletal imaging.

Potential Commercial Applications and Market

The advanced neoplasia detection and proactive breast health management system has significant commercial potential in the medical imaging and healthcare industries. The system's ability to provide real-time, personalized risk assessment and proactive breast health management could revolutionize the way breast cancer is detected and treated, with potential applications in clinical settings, research institutions, and personalized health management platforms.

CPC Classifications

SectionClassGroup
A A61 A61B8/4494
A A41 A41C3/0064
A A61 A61B8/0825
A A61 A61B8/4427
A A61 A61B8/5207
A A61 A61B8/5215
A A61 A61B8/565

Field of Art

Medical imaging technologies, specifically ultrasound-based diagnostic systems for breast health monitoring, involving biomedical engineering, signal processing, and medical device design

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with expertise in ultrasound imaging, machine learning applications in medical diagnostics, wearable sensor technologies, and advanced signal processing techniques

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and AI capabilities into the existing ultrasound scanning system represents a predictable technological evolution. The source patent's wearable scanner module provides a clear foundation for advanced image processing and diagnostic techniques. The PTD's variations leverage known machine learning techniques to enhance the existing ultrasound imaging approach, representing an incremental and obvious improvement to the original technological framework.

Obvious Combinations & Variations

Source Patent Element
Wearable scanner module with ultrasonic imaging transducers for breast scanning
PTD Variation
Adding integrated neural network for real-time image processing and feature extraction
Obviousness Reasoning
Applying machine learning to medical imaging is a known technique, and a PHOSITA would recognize the predictable benefit of automated image analysis in diagnostic technologies
Source Patent Element
Remote scanning system with computing resource for medical diagnosis
PTD Variation
Cloud-based computing with secure patient-centric portal for personalized health recommendations
Obviousness Reasoning
Extending medical diagnostic systems to include personalized digital health platforms is an obvious design choice driven by contemporary technological trends in healthcare informatics
Source Patent Element
Ultrasonic imaging transducers arranged to monitor biological changes
PTD Variation
Multi-modal sensing capabilities with data fusion to generate high-resolution 3D images
Obviousness Reasoning
Enhancing imaging resolution through advanced sensor integration and data processing represents a predictable technological improvement within the field of medical imaging
Source Patent Element
Brassiere-shaped wearable scanner module
PTD Variation
Flexible, conformable array of ultrasonic transducers adaptable to individual anatomy
Obviousness Reasoning
Customizing medical devices to individual patient anatomies is a known design approach that would be obvious to a PHOSITA seeking improved diagnostic accuracy
Source Patent Element
Method for detecting neoplasia through ultrasound scanning
PTD Variation
AI-driven risk assessment generating personalized health risk profiles
Obviousness Reasoning
Applying predictive analytics and machine learning to medical risk assessment is a standard technological progression in diagnostic technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857369 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, sensor integration, and personalized diagnostic technologies represent predictable extensions of existing ultrasound imaging methodologies, rendering subsequent claims obvious and lacking in non-obvious subject matter.

Original Patent Information

Patent NumberUS 11,857,369
TitleSystem and method for generation and display of ultrasound imaging data