Adaptive Imaging Scheduling for Diverse Applications
Legal Citation
Summary of the Inventive Concept
The inventive concept applies the core technology of determining a medical imaging schedule to new fields, enabling optimized imaging for crop yields, building structural integrity, water quality, energy storage, and pavement condition.
Background and Problem Solved
The original patent focused on medical imaging, but its core technology can be adapted to address specific challenges in other industries. The new claims address the limitations of the original patent by expanding its application to diverse fields, providing a more comprehensive solution for imaging scheduling.
Detailed Description of the Inventive Concept
The inventive concept leverages the original patent's technology for determining a medical imaging schedule and adapts it to various industries. In crop yield optimization, the system monitors soil conditions and plant growth to determine an optimal imaging schedule for crop monitoring. For building structural integrity, the method acquires imaging data and analyzes it using a machine learning model to predict structural integrity and determine a schedule for repeated imaging. Similarly, the inventive concept is applied to water quality monitoring, energy storage optimization, and pavement condition monitoring, each with its specific adaptations and considerations.
Novelty and Inventive Step
The new claims introduce novel applications of the original patent's technology, expanding its scope to diverse industries. The inventive step lies in the adaptation of the core technology to address specific challenges in each field, providing a non-obvious solution that is not readily apparent from the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include integrating with existing systems, such as farm management software or building information modeling (BIM) systems. Variations could involve using different types of sensors or imaging modalities, or incorporating additional data sources, such as weather forecasts or traffic patterns, to further optimize imaging schedules.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in various industries, including agriculture, construction, environmental monitoring, energy, and infrastructure management. The target market includes companies and organizations seeking to optimize their imaging schedules for improved decision-making, cost savings, and enhanced performance.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging, predictive modeling, and sensor-based monitoring systems across multiple technical domains including healthcare, agriculture, infrastructure, and environmental monitoring
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with expertise in data analysis, machine learning, sensor technologies, and predictive modeling, capable of adapting technical frameworks across interdisciplinary applications
Obviousness Rationale
The PTD demonstrates a straightforward extension of the source patent's core methodology of using sensor data, machine learning models, and adaptive scheduling to determine optimal imaging intervals. A PHOSITA would recognize that the fundamental algorithmic approach of collecting initial data, analyzing through a predictive model, and dynamically scheduling subsequent imaging is universally applicable across technical domains. The variations represent predictable implementations of a generalized technical framework for monitoring and scheduling.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,804 |
|---|---|
| Title | Determining a medical imaging schedule |
| Assignee(s) | Koninklijke Philips N.V. |