Adaptive Imaging Scheduling for Diverse Applications

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.

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.

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.

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 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.

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.