TRANSLATIONAL IMAGING INNOVATIONS, INC. (20240347173). Methods, Systems and Computer Program Products for Retrospective Data Mining simplified abstract

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Methods, Systems and Computer Program Products for Retrospective Data Mining

Organization Name

TRANSLATIONAL IMAGING INNOVATIONS, INC.

Inventor(s)

Eric L. Buckland of Hickory NC (US)

Methods, Systems and Computer Program Products for Retrospective Data Mining - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240347173 titled 'Methods, Systems and Computer Program Products for Retrospective Data Mining

The abstract describes an integrated system for processing and using images acquired in a research or clinical environment. The system includes an image and data bank, a workflow management module, a cloud storage module, and a pre-processing module.

  • The pre-processing engine receives raw images and associated data from the workflow management module, processes this data, and pushes it into the cloud storage module.
  • The pre-processing engine anonymizes the data to provide de-identified images and data to the cloud storage module and creates a key to maintain traceability to the imaged subjects.
  • The key remains separate from the de-identified images and data, allowing traceability to the subjects and all subsequent operations on the images and data.

Potential Applications: - Medical imaging research - Clinical trials - Biometric identification systems

Problems Solved: - Ensuring data privacy and security - Streamlining image processing workflows - Maintaining traceability in research studies

Benefits: - Improved data management - Enhanced data security - Efficient image processing

Commercial Applications: Title: Integrated Image Processing System for Research and Clinical Environments This technology can be used in medical research institutions, clinical trial organizations, and biometric security companies to streamline image processing workflows and ensure data privacy and security.

Prior Art: Researchers can explore existing image processing systems in medical research and clinical trial settings to understand the evolution of similar technologies.

Frequently Updated Research: Stay updated on advancements in image processing technologies, data anonymization methods, and cloud storage solutions to enhance the efficiency and security of image processing systems.

Questions about Integrated Image Processing System for Research and Clinical Environments: 1. How does the pre-processing engine ensure data privacy in the system? The pre-processing engine anonymizes the data to provide de-identified images and data to the cloud storage module, maintaining traceability to the imaged subjects through a separate key.

2. What are the key components of the integrated system for processing images in research and clinical environments? The integrated system includes an image and data bank, a workflow management module, a cloud storage module, and a pre-processing module to streamline image processing workflows and ensure data security.


Original Abstract Submitted

an integrated system for processing and using images acquired of subjects in a research or clinical environment is provided. the integrated system includes an image and data bank, a workflow management module, a cloud storage module and a pre-processing module. the pre-processing engine is positioned between the workflow management module and the cloud storage module and is configured to receive raw images, data associated with the raw images and the data associated with the imaged subjects from the workflow management module and process this data and provide the processed data to be pushed into the cloud storage module. the pre-processing engine also anonymized the data to provide de-identified images and data to the cloud storage module and create a key that relates the raw images, data associated with the raw images and the data associated with the imaged subjects to the de-identified, processed images and data. the key remains separate and un-connected from the de-identified, processed images and data. the key allows the de-identified, processed images and data to maintain traceability to the imaged subjects and to all subsequent operations on the images and data.

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