Personalized Medical Imaging Scheduling Platform
Legal Citation
Summary of the Inventive Concept
A next-generation medical imaging scheduling system leveraging AI-driven predictive modeling, real-time treatment response data, and comprehensive patient profiles to optimize imaging schedules for individual patients, revolutionizing medical imaging decision support.
Background and Problem Solved
The original patent addressed the need for determining medical imaging schedules for subjects receiving treatment at a target site. However, it relied on static data and limited input parameters. The new inventive concept tackles the limitations of the original patent by integrating real-time treatment response data, machine learning, and electronic health records to provide personalized and adaptive imaging schedules.
Detailed Description of the Inventive Concept
The proposed system comprises a neural network module trained on historical treatment response data to predict optimal imaging times for a subject. A treatment planning module generates personalized treatment plans based on the predicted imaging times. A decision support module provides imaging schedule recommendations to healthcare professionals. The system can be implemented as a cloud-based platform, allowing for seamless integration with electronic health records and real-time data analytics. The method for optimizing medical imaging schedules uses real-time treatment response data to update a predictive model, generating personalized imaging schedules for each subject.
Novelty and Inventive Step
The new claims introduce the use of machine learning, real-time treatment response data, and electronic health records to personalize medical imaging schedules, which is a significant departure from the original patent's reliance on static data and limited input parameters. The inventive step lies in the integration of these components to provide adaptive and optimal imaging schedules.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include using different machine learning algorithms, incorporating additional data sources such as genomic data, or implementing the system as a standalone device. Variations could include adapting the system for use in different medical specialties or integrating it with existing hospital information systems.
Potential Commercial Applications and Market
The personalized medical imaging scheduling platform has significant commercial potential in the healthcare industry, particularly in hospitals and imaging centers. The market for medical imaging decision support systems is growing rapidly, and this inventive concept is poised to revolutionize the field by providing more accurate and personalized imaging schedules.
Original Patent Information
| Patent Number | US 11,857,804 |
|---|---|
| Title | Determining a medical imaging schedule |
| Assignee(s) | Koninklijke Philips N.V. |