Patents by Inventor Jon T. DeVries

Jon T. DeVries has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11301991
    Abstract: Methods and systems for performing image analytics using graphical reporting associated with clinical images. One system includes at least one data source and a server. The server includes an electronic processor and an interface for communicating with the data source. The electronic processor is configured to receive training information from the at least one data source over the interface. The training information includes a plurality of images and graphical reporting associated with each of the plurality of images. Each graphical reporting includes a graphical marker designating a portion of one of the plurality of images and diagnostic information associated with the portion of the one of the plurality of images. The electronic processor is also configured to perform machine learning to develop a model using the training information. The model is used to automatically analyze an image.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: April 12, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Jr., Marwan Sati
  • Publication number: 20220093222
    Abstract: Systems and methods for managing at least one medical image that includes image data and metadata. One method includes generating, at a processor, a number of copies of the at least one medical image, wherein the number of copies is equal to a number of independent reviewers associated with the at least one medical image. Each of the copies includes the image data and the metadata. The method also includes modifying the metadata of each of the copies to include a unique identifier, and storing the copies to at least one image storage device.
    Type: Application
    Filed: December 2, 2021
    Publication date: March 24, 2022
    Inventor: Jon T. DeVries
  • Patent number: 10360675
    Abstract: Methods and systems for automatically analyzing clinical images using rules and image analytics. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive training information from the at least one data source over the interface. The training information includes a plurality of images and graphical reporting associated with each of the plurality of images. The electronic processor is also configured to perform machine learning to develop a model using the training information and receive an image for analysis. The electronic processor is also configured to determine a set of rules for the image and automatically process the image using the model and the set of rules to generate a diagnosis for the image.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: July 23, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Jr., Marwan Sati
  • Patent number: 10332251
    Abstract: Methods and systems for automatically mapping biopsy locations to pathology results. One system includes a server including an electronic processor and an interface for communicating with at least one data source and at least one pathology result source. The electronic processor is configured to receive an image from the at least one data source over the interface. The electronic processor is also configured to receive a biopsy location. The biopsy location includes a three-dimensional position mapped to a position within the image. The electronic processor is also configured to automatically locate an electronic pathology result for the biopsy location within the at least one pathology result source over the interface. The electronic processor is also configured to generate an electronic correlation between the biopsy location and the electronic pathology result. The electronic processor is also configured to display the image with the biopsy location marked within the image.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: June 25, 2019
    Assignee: MERGE HEALTHCARE INCORPORATED
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Jr., Marwan Sati
  • Patent number: 10311566
    Abstract: Methods and systems for automatically determining image characteristics serving as a basis for a diagnosis associated with an image study type. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive an image study from the at least one data source over the interface. The image study being of the image study type and including a plurality of images. The electronic processor is also configured to determine an image characteristic for each of the plurality of images and determine whether each of the plurality of images was used to establish a diagnosis. The electronic processor is also configured to store the image characteristic for each of the plurality of images and an indicator of whether each of the plurality of images was used to establish the diagnosis in a data structure.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: June 4, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Marwan Sati
  • Patent number: 10282835
    Abstract: Methods and systems for automatically analyzing clinical images using models developed using machine learning. One system includes a server having an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive training information from the at least one data source over the interface. The training information includes a plurality of images and graphical reporting associated with each of the plurality of images. Each graphical reporting includes a graphical marker designating a portion of one of the plurality of images and diagnostic information associated with the portion of the one of the plurality of images. The electronic processor is also configured to perform machine learning to develop a model using the training information. The electronic processor is also configured to receive an image for analysis and automatically process the image using the model to generate a diagnosis for the image.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: May 7, 2019
    Assignee: International Business Machines Corporation
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Marwan Sati
  • Patent number: 10275877
    Abstract: Methods and systems for automatically determining diagnosis discrepancies for clinical images. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive a first diagnosis from the at least one data source over the interface. The first diagnosis is specified by a diagnosing physician for an anatomical structure represented in an image. The electronic processor is also configured to determine a second diagnosis for the anatomical structure. The second diagnosis is generated after the first diagnosis. The electronic processor is also configured to store the first diagnosis and the second diagnosis in a data structure. The electronic processor is also configured to automatically determine a discrepancy between the first diagnosis and the second diagnosis based on the data structure.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: April 30, 2019
    Assignee: International Business Machines Corporation
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Jr., Marwan Sati
  • Patent number: 10275876
    Abstract: Methods and systems for automatically selecting an implant for a patient. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive at least one image of the patient from the data source over the interface. The electronic processor is also configured to receive an intended location of the implant with reference to the at least one image. The electronic processor is also configured to automatically determine an anatomical structure based on the at least one image. The electronic processor is also configured to determine a preference. The electronic processor is also configured to automatically select one or more suggested implants based on the intended location, the anatomical structure, and the preference. The electronic processor is also configured to display the one or more suggested implants through a graphical user interface.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: April 30, 2019
    Assignee: International Business Machines Corporation
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Marwan Sati
  • Patent number: 10269114
    Abstract: Methods and systems for automatically scoring diagnoses associated with clinical images. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive a diagnosis associated with an image of a patient from the at least one data source over the interface. The diagnosis is for an anatomical structure represented in the image. The electronic processor is also configured to receive a pathology result for the patient for the anatomical structure generated after the diagnosis from the at least one pathology result source over the interface. The electronic processor is also configured to automatically generate a score based on a comparison of the diagnosis and the pathology result. The electronic processor is also configured to display the score within a graphical user interface.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: April 23, 2019
    Assignee: International Business Machines Corporation
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Jr., Marwan Sati
  • Patent number: 10229490
    Abstract: Methods and systems for automatically scoring diagnoses associated with clinical images. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive a diagnosis associated with an image of a patient from the at least one data source over the interface. The diagnosis is for an anatomical structure represented in the image. The electronic processor is also configured to receive a pathology result for the patient for the anatomical structure generated after the diagnosis from the at least one pathology result source over the interface. The electronic processor is also configured to automatically generate a score based on a comparison of the diagnosis and the pathology result. The electronic processor is also configured to display the score within a graphical user interface.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: March 12, 2019
    Assignee: International Business Machines Corporation
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Jr., Marwan Sati
  • Publication number: 20190051402
    Abstract: Systems and methods for managing at least one medical image that includes image data and metadata. One method includes generating, at a processor, a number of copies of the at least one medical image, wherein the number of copies is equal to a number of independent reviewers associated with the at least one medical image. Each of the copies includes the image data and the metadata. The method also includes modifying the metadata of each of the copies to include a unique identifier, and storing the copies to at least one image storage device.
    Type: Application
    Filed: October 17, 2018
    Publication date: February 14, 2019
    Inventor: Jon T. DeVries
  • Patent number: 10169863
    Abstract: Methods and systems for automatically determining a clinical image or portion thereof for display to a diagnosing physician. One system includes an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive training information from the at least one data source and determine a subset of images included in each of the plurality of image studies displayed to one or more diagnosing physicians. The electronic processor is also configured to perform machine learning to develop a model based on the training information and the subset of images included in each of the plurality of image studies and receive the image study. The electronic processor is also configured to process the image study using the model to determine a subset of the plurality of images and flag the subset of the plurality of images for manual review by the diagnosing physician.
    Type: Grant
    Filed: June 10, 2016
    Date of Patent: January 1, 2019
    Assignee: International Business Machines Corporation
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Jr., Marwan Sati
  • Patent number: 10140420
    Abstract: Systems and methods for managing at least one medical image that includes image data and metadata. One method includes generating, at a processor, a number of copies of the at least one medical image, wherein the number of copies is equal to a number of independent reviewers associated with the at least one medical image. Each of the copies includes the image data and the metadata. The method also includes modifying the metadata of each of the copies to include a unique identifier, and storing the copies to at least one image storage device.
    Type: Grant
    Filed: October 12, 2012
    Date of Patent: November 27, 2018
    Assignee: Merge Healthcare Incorporation
    Inventor: Jon T. DeVries
  • Publication number: 20160364527
    Abstract: Methods and systems for automatically analyzing clinical images and determining when additional imaging may aid a diagnosis. One system includes at least one data source and a server. The server includes an electronic processor and an interface for communicating with the at least one data source. The electronic processor is configured to receive an image of a patient from the at least one data source over the interface. The electronic processor is also configured to automatically process the image to generate a diagnosis for the image. The electronic processor is also configured to automatically determine, based on the diagnosis, at least one additional image for supplementing the diagnosis. The electronic processor is also configured to automatically locate the at least one additional image for the patient and when the at least one additional image is available, automatically update the diagnosis based on the at least one additional image.
    Type: Application
    Filed: June 10, 2016
    Publication date: December 15, 2016
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Marwan Sati
  • Publication number: 20160364857
    Abstract: Methods and systems for automatically determining image characteristics serving as a basis for a diagnosis associated with an image study type. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive an image study from the at least one data source over the interface. The image study being of the image study type and including a plurality of images. The electronic processor is also configured to determine an image characteristic for each of the plurality of images and determine whether each of the plurality of images was used to establish a diagnosis. The electronic processor is also configured to store the image characteristic for each of the plurality of images and an indicator of whether each of the plurality of images was used to establish the diagnosis in a data structure.
    Type: Application
    Filed: June 10, 2016
    Publication date: December 15, 2016
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Marwan Sati
  • Publication number: 20160364528
    Abstract: Methods and systems for automatically determining a clinical image or portion thereof for display to a diagnosing physician. One system includes an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive training information from the at least one data source and determine a subset of images included in each of the plurality of image studies displayed to one or more diagnosing physicians. The electronic processor is also configured to perform machine learning to develop a model based on the training information and the subset of images included in each of the plurality of image studies and receive the image study. The electronic processor is also configured to process the image study using the model to determine a subset of the plurality of images and flag the subset of the plurality of images for manual review by the diagnosing physician.
    Type: Application
    Filed: June 10, 2016
    Publication date: December 15, 2016
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Marwan Sati
  • Publication number: 20160364630
    Abstract: Methods and systems for automatically mapping biopsy locations to pathology results. One system includes a server including an electronic processor and an interface for communicating with at least one data source and at least one pathology result source. The electronic processor is configured to receive an image from the at least one data source over the interface. The electronic processor is also configured to receive a biopsy location. The biopsy location includes a three-dimensional position mapped to a position within the image. The electronic processor is also configured to automatically locate an electronic pathology result for the biopsy location within the at least one pathology result source over the interface. The electronic processor is also configured to generate an electronic correlation between the biopsy location and the electronic pathology result. The electronic processor is also configured to display the image with the biopsy location marked within the image.
    Type: Application
    Filed: June 10, 2016
    Publication date: December 15, 2016
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Marwan Sati
  • Publication number: 20160364526
    Abstract: Methods and systems for automatically analyzing clinical images using models developed using machine learning. One system includes a server having an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive training information from the at least one data source over the interface. The training information includes a plurality of images and graphical reporting associated with each of the plurality of images. Each graphical reporting includes a graphical marker designating a portion of one of the plurality of images and diagnostic information associated with the portion of the one of the plurality of images. The electronic processor is also configured to perform machine learning to develop a model using the training information. The electronic processor is also configured to receive an image for analysis and automatically process the image using the model to generate a diagnosis for the image.
    Type: Application
    Filed: June 10, 2016
    Publication date: December 15, 2016
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Marwan Sati
  • Publication number: 20160364631
    Abstract: Methods and systems for automatically analyzing clinical images using rules and image analytics. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive training information from the at least one data source over the interface. The training information includes a plurality of images and graphical reporting associated with each of the plurality of images. The electronic processor is also configured to perform machine learning to develop a model using the training information and receive an image for analysis. The electronic processor is also configured to determine a set of rules for the image and automatically process the image using the model and the set of rules to generate a diagnosis for the image.
    Type: Application
    Filed: June 10, 2016
    Publication date: December 15, 2016
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Marwan Sati
  • Publication number: 20160364539
    Abstract: Methods and systems for automatically determining diagnosis discrepancies for clinical images. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive a first diagnosis from the at least one data source over the interface. The first diagnosis is specified by a diagnosing physician for an anatomical structure represented in an image. The electronic processor is also configured to determine a second diagnosis for the anatomical structure. The second diagnosis is generated after the first diagnosis. The electronic processor is also configured to store the first diagnosis and the second diagnosis in a data structure. The electronic processor is also configured to automatically determine a discrepancy between the first diagnosis and the second diagnosis based on the data structure.
    Type: Application
    Filed: June 10, 2016
    Publication date: December 15, 2016
    Inventors: Murray A. Reicher, Jon T. DeVries, Michael W. Ferro, Marwan Sati