Patents by Inventor Andrew Dennis Smith

Andrew Dennis Smith 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).

  • Publication number: 20250069729
    Abstract: A system can be configured to: (i) obtain a set of input images images depicting one or more bodily structures of a patient; (ii) determine whether one or more key structures are represented within the set of input images by utilizing a key structure detection module; (iii) determine one or more key images of the one or more images of the set of input images by utilizing a key image localization module; (iv) determine key structure segmentation by utilizing a key structure segmentation module; (v) determine one or more patient condition metrics using the key structure segmentation; and (vi) generate a report associated with the patient based upon the one or more patient condition metrics, or generate an entry at one or more practitioner worklists based upon the one or more patient condition metrics.
    Type: Application
    Filed: November 11, 2024
    Publication date: February 27, 2025
    Inventors: Andrew Dennis Smith, Steven Adam Rothenberg, Yujan Shrestha
  • Patent number: 12236584
    Abstract: A computer-implemented method for facilitating opportunistic screening for cardiomegaly includes obtaining a set of computed tomography (CT) images. The set of CT images captures at least a portion of a heart of a patient, and the set of CT images is captured for a purpose independent of assessing cardiomegaly. The method further includes using the set of CT images as an input to an artificial intelligence (AI) module configured to determine a heart measurement based on CT image set input. The method also includes obtaining heart measurement output generated by the AI module and, based on the heart measurement output, classifying the patient into one of a plurality of risk levels for cardiomegaly. The classification is operable to trigger additional action based on the corresponding risk level for the patient.
    Type: Grant
    Filed: December 7, 2021
    Date of Patent: February 25, 2025
    Assignees: AI METRICS, LLC, THE UAB RESEARCH FOUNDATION
    Inventors: Andrew Dennis Smith, Robert B. Jacobus, Jr., Paige Elaine Severino
  • Patent number: 12205276
    Abstract: A system for facilitating lesion analysis accesses a first data structure comprising a plurality of entries including anatomic location information and annotation information associated with a plurality of lesions represented in a first set of cross-sectional images. The system displays a respective representation of each of the plurality of entries and presents a second set of cross-sectional images. The system receives user input triggering selection of a particular entry of the plurality of entries of the first data structure.
    Type: Grant
    Filed: September 7, 2021
    Date of Patent: January 21, 2025
    Assignee: AI METRICS, LLC
    Inventor: Andrew Dennis Smith
  • Patent number: 12198799
    Abstract: A system can be configured to: (i) obtain a set of input images depicting one or more bodily structures of a patient; (ii) determine whether one or more key structures are represented within the set of input images by utilizing a key structure detection module; (iii) determine one or more key images of the one or more images of the set of input images by utilizing a key image localization module; (iv) determine key structure segmentation by utilizing a key structure segmentation module; (v) determine one or more patient condition metrics using the key structure segmentation; and (vi) generate a report associated with the patient based upon the one or more patient condition metrics, or generate an entry at one or more practitioner worklists based upon the one or more patient condition metrics.
    Type: Grant
    Filed: January 26, 2024
    Date of Patent: January 14, 2025
    Assignees: Body Check, LLC, The UAB Research Foundation
    Inventors: Andrew Dennis Smith, Steven Adam Rothenberg, Yujan Shrestha
  • Patent number: 12148154
    Abstract: A method for ascertaining pulmonary fibrosis disease progression or treatment response includes obtaining a first set of computed tomography (CT) images of a lung and determining a first Pulmonary Surface Index (PSI) score for the lung by detecting a first actual lung boundary of the lung within the first set of CT images, determining a first approximated lung boundary within the first set of CT images, and determining the PSI score using inputs based on the first actual lung boundary and the first approximated lung boundary. The method also includes obtaining a second set of CT images of the lung and determining a second PSI score for the lung using inputs based on a second actual lung boundary and a second approximated lung boundary. The method also includes assessing pulmonary fibrosis treatment response or disease progression based on the first PSI score and the second PSI score.
    Type: Grant
    Filed: March 11, 2022
    Date of Patent: November 19, 2024
    Assignee: THE UAB RESEARCH FOUNDATION
    Inventor: Andrew Dennis Smith
  • Publication number: 20240257947
    Abstract: A system can be configured to: (i) obtain a set of input images depicting one or more bodily structures of a patient; (ii) determine whether one or more key structures are represented within the set of input images by utilizing a key structure detection module; (iii) determine one or more key images of the one or more images of the set of input images by utilizing a key image localization module; (iv) determine key structure segmentation by utilizing a key structure segmentation module; (v) determine one or more patient condition metrics using the key structure segmentation; and (vi) generate a report associated with the patient based upon the one or more patient condition metrics, or generate an entry at one or more practitioner worklists based upon the one or more patient condition metrics.
    Type: Application
    Filed: January 26, 2024
    Publication date: August 1, 2024
    Inventors: Andrew Dennis Smith, Steven Adam Rothenberg, Yujan Shrestha
  • Publication number: 20240079105
    Abstract: A method for generating a medical record note comprises (i) accessing a corpus of medical documentation for a particular patient; (ii) receiving, at a user interface, chief complaint input indicating a chief complaint associated with the particular patient; (iii) utilizing (a) the chief complaint and (b) at least a portion of the corpus of medical documentation for the particular patient as input to a set of artificial intelligence (AI) modules, the set of AI modules being trained to generate medical record note output in response to medical documentation input; and (iv) generate a medical record note for the particular patient based on output of the set of AI modules.
    Type: Application
    Filed: September 1, 2023
    Publication date: March 7, 2024
    Inventor: Andrew Dennis Smith
  • Patent number: 11830607
    Abstract: A system for facilitating image finding analysis includes one or more processors and one or more hardware storage devices storing instructions that are executable by the one or more processors to configure the system to perform acts such as (i) presenting an image on a user interface, the image being one of a plurality of images provided on the user interface in a navigable format, (ii) obtaining a voice annotation for the image, the voice annotation being based on a voice signal of a user, and (iii) binding the voice annotation to at least one aspect of the image, wherein the binding modifies metadata of the image based on the voice annotation.
    Type: Grant
    Filed: September 7, 2022
    Date of Patent: November 28, 2023
    Assignee: AI METRICS, LLC
    Inventors: Andrew Dennis Smith, Robert B. Jacobus, Paige Elaine Severino
  • Publication number: 20230076821
    Abstract: A system for facilitating image finding analysis includes one or more processors and one or more hardware storage devices storing instructions that are executable by the one or more processors to configure the system to perform acts such as (i) presenting an image on a user interface, the image being one of a plurality of images provided on the user interface in a navigable format, (ii) obtaining a voice annotation for the image, the voice annotation being based on a voice signal of a user, and (iii) binding the voice annotation to at least one aspect of the image, wherein the binding modifies metadata of the image based on the voice annotation.
    Type: Application
    Filed: September 7, 2022
    Publication date: March 9, 2023
    Inventors: Andrew Dennis Smith, Robert B. Jacobus, Paige Elaine Severino
  • Publication number: 20220273255
    Abstract: A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images includes accessing an identification of a target lesion in one or more cross-sectional images at a computing system, determining a computer segmentation of the target lesion, and, based upon the computer segmentation, automatically determining one or more lesion metrics for the target lesion. The one or more lesion metrics includes at least a target lesion length. The target lesion length includes a short axis measurement when the target lesion is a lymph node, and the target lesion length includes a long axis measurement when the target lesion is not a lymph node. The computer-implemented method further includes generating a summary display including at least the target lesion length.
    Type: Application
    Filed: May 19, 2022
    Publication date: September 1, 2022
    Inventor: Andrew Dennis Smith
  • Publication number: 20220198664
    Abstract: A method for ascertaining pulmonary fibrosis disease progression or treatment response includes obtaining a first set of computed tomography (CT) images of a lung and determining a first Pulmonary Surface Index (PSI) score for the lung by detecting a first actual lung boundary of the lung within the first set of CT images, determining a first approximated lung boundary within the first set of CT images, and determining the PSI score using inputs based on the first actual lung boundary and the first approximated lung boundary. The method also includes obtaining a second set of CT images of the lung and determining a second PSI score for the lung using inputs based on a second actual lung boundary and a second approximated lung boundary. The method also includes assessing pulmonary fibrosis treatment response or disease progression based on the first PSI score and the second PSI score.
    Type: Application
    Filed: March 11, 2022
    Publication date: June 23, 2022
    Inventor: Andrew Dennis Smith
  • Publication number: 20220180513
    Abstract: A computer-implemented method for facilitating opportunistic screening for cardiomegaly includes obtaining a set of computed tomography (CT) images. The set of CT images captures at least a portion of a heart of a patient, and the set of CT images is captured for a purpose independent of assessing cardiomegaly. The method further includes using the set of CT images as an input to an artificial intelligence (AI) module configured to determine a heart measurement based on CT image set input. The method also includes obtaining heart measurement output generated by the AI module and, based on the heart measurement output, classifying the patient into one of a plurality of risk levels for cardiomegaly. The classification is operable to trigger additional action based on the corresponding risk level for the patient.
    Type: Application
    Filed: December 7, 2021
    Publication date: June 9, 2022
    Inventors: Andrew Dennis Smith, Robert B. Jacobus, JR., Paige Elaine Severino
  • Patent number: 11350900
    Abstract: A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images can include receiving cross-sectional images of digital medical image data and identifying target lesions within the cross-sectional images. For each of the target lesions, a target lesion type and anatomical location is identified, a segmenting tool is activated for segmenting the target lesions into regions of interest, lesion metrics are automatically extracted from the regions of interest according to tumor response criteria, and conformity of target lesion identification is monitored using rules associated with the tumor response criteria, prompting a user to address any nonconforming target lesion. The method also includes receiving a presence/absence of metastases, determining changes in lesions metrics, and deriving an objective tumor response based on the tumor response criteria.
    Type: Grant
    Filed: July 9, 2020
    Date of Patent: June 7, 2022
    Assignee: AI Metrics, LLC
    Inventor: Andrew Dennis Smith
  • Patent number: 11295445
    Abstract: A method for ascertaining pulmonary fibrosis disease progression or treatment response includes obtaining a first set of computed tomography (CT) images of a lung and determining a first Pulmonary Surface Index (PSI) score for the lung by detecting a first actual lung boundary of the lung within the first set of CT images, determining a first approximated lung boundary within the first set of CT images, and determining the PSI score using inputs based on the first actual lung boundary and the first approximated lung boundary. The method also includes obtaining a second set of CT images of the lung and determining a second PSI score for the lung using inputs based on a second actual lung boundary and a second approximated lung boundary. The method also includes assessing pulmonary fibrosis treatment response or disease progression based on the first PSI score and the second PSI score.
    Type: Grant
    Filed: April 6, 2021
    Date of Patent: April 5, 2022
    Assignee: THE UAB RESEARCH FOUNDATION
    Inventor: Andrew Dennis Smith
  • Publication number: 20210407082
    Abstract: A system for facilitating lesion analysis accesses a first data structure comprising a plurality of entries including anatomic location information and annotation information associated with a plurality of lesions represented in a first set of cross-sectional images. The system displays a respective representation of each of the plurality of entries and presents a second set of cross-sectional images. The system receives user input triggering selection of a particular entry of the plurality of entries of the first data structure.
    Type: Application
    Filed: September 7, 2021
    Publication date: December 30, 2021
    Applicant: AI METRICS, LLC
    Inventor: Andrew Dennis Smith
  • Patent number: 11164314
    Abstract: A system for facilitating lesion analysis accesses a first data structure comprising a plurality of entries including anatomic location information and annotation information associated with a plurality of lesions represented in a first set of cross-sectional images. The system displays a respective representation of each of the plurality of entries and presents a second set of cross-sectional images. The system receives user input triggering selection of a particular entry of the plurality of entries of the first data structure.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: November 2, 2021
    Assignee: AI METRICS, LLC
    Inventor: Andrew Dennis Smith
  • Patent number: 11100640
    Abstract: A system for facilitating lesion analysis is configurable to identify a user profile associated with a user accessing the system. The user profile indicates a radiology specialty associated with the user. The system is also configurable to access a plurality of cross-sectional medical images associated with a particular patient and identify a subset of cross-sectional medical images from the plurality of cross-sectional medical images that correspond to the radiology specialty indicated by the user profile. The system is also configurable to present the subset of cross-sectional medical images to the user in navigable form.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: August 24, 2021
    Assignee: AI METRICS, LLC
    Inventor: Andrew Dennis Smith
  • Publication number: 20210224987
    Abstract: A method for ascertaining pulmonary fibrosis disease progression or treatment response includes obtaining a first set of computed tomography (CT) images of a lung and determining a first Pulmonary Surface Index (PSI) score for the lung by detecting a first actual lung boundary of the lung within the first set of CT images, determining a first approximated lung boundary within the first set of CT images, and determining the PSI score using inputs based on the first actual lung boundary and the first approximated lung boundary. The method also includes obtaining a second set of CT images of the lung and determining a second PSI score for the lung using inputs based on a second actual lung boundary and a second approximated lung boundary. The method also includes assessing pulmonary fibrosis treatment response or disease progression based on the first PSI score and the second PSI score.
    Type: Application
    Filed: April 6, 2021
    Publication date: July 22, 2021
    Inventor: Andrew Dennis Smith
  • Publication number: 20210166379
    Abstract: A system for facilitating lesion analysis accesses a first data structure comprising a plurality of entries including anatomic location information and annotation information associated with a plurality of lesions represented in a first set of cross-sectional images. The system displays a respective representation of each of the plurality of entries and presents a second set of cross-sectional images. The system receives user input triggering selection of a particular entry of the plurality of entries of the first data structure.
    Type: Application
    Filed: December 9, 2020
    Publication date: June 3, 2021
    Applicant: AI METRICS, LLC
    Inventor: Andrew Dennis Smith
  • Publication number: 20210166377
    Abstract: A system for facilitating lesion analysis is configurable to identify a user profile associated with a user accessing the system. The user profile indicates a radiology specialty associated with the user. The system is also configurable to access a plurality of cross-sectional medical images associated with a particular patient and identify a subset of cross-sectional medical images from the plurality of cross-sectional medical images that correspond to the radiology specialty indicated by the user profile. The system is also configurable to present the subset of cross-sectional medical images to the user in navigable form.
    Type: Application
    Filed: November 30, 2020
    Publication date: June 3, 2021
    Inventor: Andrew Dennis Smith