Patents by Inventor Brian Basham

Brian Basham 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: 11087872
    Abstract: A medical scan annotator system is operable to select a medical scan for transmission via a network to a first client device and a second client device for display via an interactive interface, and annotation data is received from the first client device and the second client device in response. Annotation similarity data is generated by comparing the first annotation data to the second annotation data, and consensus annotation data is generated based on the first annotation data and the second annotation data in response to the annotation similarity data indicating that the difference between the first annotation data and the second annotation data compares favorably to an annotation discrepancy threshold. The consensus annotation data is mapped to the medical scan in a medical scan database.
    Type: Grant
    Filed: December 11, 2019
    Date of Patent: August 10, 2021
    Assignee: Enlitic, Inc.
    Inventors: Devon Bernard, Kevin Lyman, Li Yao, Brian Basham, Ben Covington
  • Publication number: 20210118552
    Abstract: A medical scan report labeling system is operable to transmit a medical report that includes natural language text to a first client device for display. Identified medical condition term data is received from the first client device in response. An alias mapping pair in a medical label alias database is identified by determining that a medical condition term of the alias mapping pair compares favorably to the identified medical condition term data. A medical code that corresponds to the alias mapping pair and a medical scan that corresponds to the medical report are transmitted to a second client device of an expert user for display, and accuracy data is received from the second client device in response. The medical code is mapped to the first medical scan in the medical scan database when the accuracy data indicates that the medical code compares favorably to the medical scan.
    Type: Application
    Filed: December 28, 2020
    Publication date: April 22, 2021
    Applicant: Enlitic, Inc.
    Inventors: Devon Bernard, Kevin Lyman, Li Yao, Brian Basham, Rewon Child
  • Patent number: 10910097
    Abstract: A medical scan report labeling system is operable to transmit a medical report that includes natural language text to a first client device for display. Identified medical condition term data is received from the first client device in response. An alias mapping pair in a medical label alias database is identified by determining that a medical condition term of the alias mapping pair compares favorably to the identified medical condition term data. A medical code that corresponds to the alias mapping pair and a medical scan that corresponds to the medical report are transmitted to a second client device of an expert user for display, and accuracy data is received from the second client device in response. The medical code is mapped to the first medical scan in the medical scan database when the accuracy data indicates that the medical code compares favorably to the medical scan.
    Type: Grant
    Filed: August 15, 2017
    Date of Patent: February 2, 2021
    Assignee: Enlitic, Inc.
    Inventors: Devon Bernard, Kevin Lyman, Li Yao, Brian Basham, Rewon Child
  • Patent number: 10896753
    Abstract: A lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.
    Type: Grant
    Filed: December 10, 2019
    Date of Patent: January 19, 2021
    Assignee: Enlitic, Inc.
    Inventors: Kevin Lyman, Devon Bernard, Li Yao, Ben Covington, Diogo Almeida, Brian Basham, Jeremy Howard, Anthony Upton, John Zedlewski
  • Publication number: 20200118670
    Abstract: A medical scan annotator system is operable to select a medical scan for transmission via a network to a first client device and a second client device for display via an interactive interface, and annotation data is received from the first client device and the second client device in response. Annotation similarity data is generated by comparing the first annotation data to the second annotation data, and consensus annotation data is generated based on the first annotation data and the second annotation data in response to the annotation similarity data indicating that the difference between the first annotation data and the second annotation data compares favorably to an annotation discrepancy threshold. The consensus annotation data is mapped to the medical scan in a medical scan database.
    Type: Application
    Filed: December 11, 2019
    Publication date: April 16, 2020
    Applicant: Enlitic, Inc.
    Inventors: Devon Bernard, Kevin Lyman, Li Yao, Brian Basham, Ben Covington
  • Publication number: 20200111561
    Abstract: A lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.
    Type: Application
    Filed: December 10, 2019
    Publication date: April 9, 2020
    Applicant: Enlitic, Inc.
    Inventors: Kevin Lyman, Devon Bernard, Li Yao, Ben Covington, Diogo Almeida, Brian Basham, Jeremy Howard, Anthony Upton, John Zedlewski
  • Patent number: 10553311
    Abstract: A lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.
    Type: Grant
    Filed: August 30, 2017
    Date of Patent: February 4, 2020
    Assignee: Enlitic, Inc.
    Inventors: Kevin Lyman, Devon Bernard, Li Yao, Ben Covington, Diogo Almeida, Brian Basham, Jeremy Howard, Anthony Upton, John Zedlewski
  • Patent number: 10553312
    Abstract: A medical scan annotator system is operable to select a medical scan for transmission via a network to a first client device and a second client device for display via an interactive interface, and annotation data is received from the first client device and the second client device in response. Annotation similarity data is generated by comparing the first annotation data to the second annotation data, and consensus annotation data is generated based on the first annotation data and the second annotation data in response to the annotation similarity data indicating that the difference between the first annotation data and the second annotation data compares favorably to an annotation discrepancy threshold. The consensus annotation data is mapped to the medical scan in a medical scan database.
    Type: Grant
    Filed: October 24, 2018
    Date of Patent: February 4, 2020
    Assignee: Enlitic, Inc.
    Inventors: Devon Bernard, Kevin Lyman, Li Yao, Brian Basham, Ben Covington
  • Publication number: 20190057769
    Abstract: A medical scan annotator system is operable to select a medical scan for transmission via a network to a first client device and a second client device for display via an interactive interface, and annotation data is received from the first client device and the second client device in response. Annotation similarity data is generated by comparing the first annotation data to the second annotation data, and consensus annotation data is generated based on the first annotation data and the second annotation data in response to the annotation similarity data indicating that the difference between the first annotation data and the second annotation data compares favorably to an annotation discrepancy threshold. The consensus annotation data is mapped to the medical scan in a medical scan database.
    Type: Application
    Filed: October 24, 2018
    Publication date: February 21, 2019
    Applicant: Enlitic, Inc.
    Inventors: Devon Bernard, Kevin Lyman, Li Yao, Brian Basham, Ben Covington
  • Publication number: 20180341750
    Abstract: A medical scan report labeling system is operable to transmit a medical report that includes natural language text to a first client device for display. Identified medical condition term data is received from the first client device in response. An alias mapping pair in a medical label alias database is identified by determining that a medical condition term of the alias mapping pair compares favorably to the identified medical condition term data. A medical code that corresponds to the alias mapping pair and a medical scan that corresponds to the medical report are transmitted to a second client device of an expert user for display, and accuracy data is received from the second client device in response. The medical code is mapped to the first medical scan in the medical scan database when the accuracy data indicates that the medical code compares favorably to the medical scan.
    Type: Application
    Filed: August 15, 2017
    Publication date: November 29, 2018
    Applicant: Enlitic, Inc.
    Inventors: Devon Bernard, Kevin Lyman, Li Yao, Brian Basham, Rewon Child
  • Publication number: 20180341747
    Abstract: A medical scan annotator system is operable to select a medical scan for transmission via a network to a first client device and a second client device for display via an interactive interface, and annotation data is received from the first client device and the second client device in response. Annotation similarity data is generated by comparing the first annotation data to the second annotation data, and consensus annotation data is generated based on the first annotation data and the second annotation data in response to the annotation similarity data indicating that the difference between the first annotation data and the second annotation data compares favorably to an annotation discrepancy threshold. The consensus annotation data is mapped to the medical scan in a medical scan database.
    Type: Application
    Filed: June 20, 2017
    Publication date: November 29, 2018
    Applicant: Enlitic, Inc.
    Inventors: Devon Bernard, Kevin Lyman, Li Yao, Brian Basham, Ben Covington
  • Publication number: 20180341753
    Abstract: A medical scan interface feature evaluator system is operable to generate an ordered image-to-prompt mapping by selecting a set of user interface features to be displayed with each of an ordered set of medical scans. The set of medical scans and the ordered image-to-prompt mapping are transmitted to a set of client devices. A set of responses are generated by each client device in response to sequentially displaying each of the set of medical scans in conjunction with a mapped user interface feature indicated in the ordered image-to-prompt mapping via a user interface. Response score data is generated by comparing each response to truth annotation data of the corresponding medical scan. Interface feature score data corresponding to each user interface feature is generated based on aggregating the response score data, and is used to generate a ranking of the set of user interface features.
    Type: Application
    Filed: August 22, 2017
    Publication date: November 29, 2018
    Applicant: Enlitic, Inc.
    Inventors: Kevin Lyman, Devon Bernard, Li Yao, Alan Liu, Brian Basham, Ben Covington
  • Publication number: 20180338741
    Abstract: A lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.
    Type: Application
    Filed: August 30, 2017
    Publication date: November 29, 2018
    Applicant: Enlitic, Inc.
    Inventors: Kevin Lyman, Devon Bernard, Li Yao, Ben Covington, Diogo Almeida, Brian Basham, Jeremy Howard, Anthony Upton, John Zedlewski
  • Publication number: 20180341751
    Abstract: A medical scan natural language analysis system is operable to generate a medical report natural language model based on a selected set of medical reports of the plurality of medical reports and the at least one medical code mapped to each of the selected set of medical reports. A medical report that is not included in the selected set is received via a network. A medical code is determined by utilizing the medical report natural language model on the first medical report. The medical code is mapped to a medical scan corresponding to the medical report.
    Type: Application
    Filed: August 22, 2017
    Publication date: November 29, 2018
    Applicant: Enlitic, Inc.
    Inventors: Kevin Lyman, Devon Bernard, Li Yao, Brian Basham, Scott McKinney
  • Patent number: 10140421
    Abstract: A medical scan annotator system is operable to select a medical scan for transmission via a network to a first client device and a second client device for display via an interactive interface, and annotation data is received from the first client device and the second client device in response. Annotation similarity data is generated by comparing the first annotation data to the second annotation data, and consensus annotation data is generated based on the first annotation data and the second annotation data in response to the annotation similarity data indicating that the difference between the first annotation data and the second annotation data compares favorably to an annotation discrepancy threshold. The consensus annotation data is mapped to the medical scan in a medical scan database.
    Type: Grant
    Filed: June 20, 2017
    Date of Patent: November 27, 2018
    Assignee: Enlitic, Inc.
    Inventors: Devon Bernard, Kevin Lyman, Li Yao, Brian Basham, Ben Covington