Abstract: A system and method configured to better identify patient-specific anatomical landmarks, measure anatomical parameters and features, and predict the patient's need for surgery within a predetermined time period. In some embodiments, the system and method is configured to predict the likelihood or risk that a patient will require total hip arthroplasty. In some embodiments, the present invention includes machine learning technology Some embodiments of the present invention include a first ML machine configured to received medical images as inputs and identify anatomical landmarks as outputs; a measurement module to measure joint space width, hip dysplasia angles, and/or leg length differential; and a second ML machine configured to receive the anatomical measurements and patient demographic data as inputs and produce a risk or likelihood that the patient will require surgery within a certain time frame.

Abstract: A system and method configured to better identify patient-specific anatomical landmarks, measure anatomical parameters and features, and predict the patient's need for surgery within a predetermined time period. In some embodiments, the system and method is configured to predict the likelihood or risk that a patient will require total hip arthroplasty. In some embodiments, the present invention includes machine learning technology Some embodiments of the present invention include a first ML machine configured to received medical images as inputs and identify anatomical landmarks as outputs; a measurement module to measure joint space width, hip dysplasia angles, and/or leg length differential; and a second ML machine configured to receive the anatomical measurements and patient demographic data as inputs and produce a risk or likelihood that the patient will require surgery within a certain time frame.

Abstract: A system and method configured to better identify patient-specific anatomical landmarks, measure anatomical parameters and features, and predict the patient's need for surgery within a predetermined time period. In some embodiments, the system and method is configured to predict the likelihood or risk that a patient will require total hip arthroplasty. In some embodiments, the present invention includes machine learning technology Some embodiments of the present invention include a first ML machine configured to received medical images as inputs and identify anatomical landmarks as outputs; a measurement module to measure joint space width, hip dysplasia angles, and/or leg length differential; and a second ML machine configured to receive the anatomical measurements and patient demographic data as inputs and produce a risk or likelihood that the patient will require surgery within a certain time frame.

Abstract: A system and method for determining patient-specific anatomical parameters to improve surgical outcomes. Some embodiments include processes for predicting the parameters of occluded anatomy. Some embodiment includes processes for more accurately identifying a center point of a ball and socket joint, such as a center point or center of rotation of a femoral head. Some embodiments include processes for identify a patient-specific spinal curvature, including more precisely determining patient specific spinal inflection points. The various steps can be performed automatically through trained computing devices and graphically presented to a surgeon for review and any necessary modifications.

Abstract: A system and method configured to better identify patient-specific anatomical landmarks, measure anatomical parameters and features, and predict the patient's need for surgery within a predetermined time period. In some embodiments, the system and method is configured to predict the likelihood or risk that a patient will require total hip arthroplasty. In some embodiments, the present invention includes machine learning technology Some embodiments of the present invention include a first ML machine configured to received medical images as inputs and identify anatomical landmarks as outputs; a measurement module to measure joint space width, hip dysplasia angles, and/or leg length differential; and a second ML machine configured to receive the anatomical measurements and patient demographic data as inputs and produce a risk or likelihood that the patient will require surgery within a certain time frame.

Abstract: A milling assembly for orthopaedic surgery includes: a milling body including a coupling section with a body coupler, a pilot stem extending from the coupling section, an exterior wall, and a window formed in the exterior wall; and a milling frame that is coupled to the milling body. The milling frame includes a frame coupler that is coupled to the body coupler and a reamer guiding section. The reamer guiding section has a reamer slot that is aligned with the window of the milling body when the frame coupler is coupled to the body coupler.

Abstract: A system and method for determining patient-specific anatomical parameters to improve surgical outcomes. Some embodiments include processes for predicting the parameters of occluded anatomy. Some embodiment includes processes for more accurately identifying a center point of a ball and socket joint, such as a center point or center of rotation of a femoral head. Some embodiments include processes for identify a patient-specific spinal curvature, including more precisely determining patient specific spinal inflection points. The various steps can be performed automatically through trained computing devices and graphically presented to a surgeon for review and any necessary modifications.

Abstract: A back mounted flight machine comprises a frame comprising a connecting bracket, a pair of lateral arms extending from the connector bracket, and an engine mounted on each of the lateral arms in a selected position. A harness is mounted on the connecting bracket of the frame between the pair of lateral arms. Further, a fastening mechanism is provided for connecting the harness to the connecting bracket to permit relative movement between the harness and the frame in a plurality of orientations.

Abstract: A back mounted flight machine comprises a frame comprising a connecting bracket, a pair of lateral arms extending from the connector bracket, and an engine mounted on each of the lateral arms in a selected position. A harness is mounted on the connecting bracket of the frame between the pair of lateral arms. Further, a fastening mechanism is provided for connecting the harness to the connecting bracket to permit relative movement between the harness and the frame in a plurality of orientations.

Abstract: A back mounted flight machine comprises a frame comprising a connecting bracket, a pair of lateral arms extending from the connector bracket, and an engine mounted on each of the lateral arms in a selected position. A harness is mounted on the connecting bracket of the frame between the pair of lateral arms. Further, a fastening mechanism is provided for connecting the harness to the connecting bracket to permit relative movement between the harness and the frame in a plurality of orientations.

Abstract: A patient-specific acetabular guide for use in orienting an acetabular component with respect to an acetabulum of a patient as part of a surgical procedure includes a body having a bottom contact surface that has a portion that is shaped and configured to initimately receive and interlockingly mate with an acetabular notch of the patient's acetabulum in accordance with a three-dimensional image of the acetabulum of the specific patient. The three-dimensional image can be in the form of a three-dimensional virtual model of the patient's acetabulum that is constructed at least in part on 3D image data of the pelvic region of the patient.

Abstract: A patient-specific acetabular guide for use in orienting an acetabular component with respect to an acetabulum of a patient as part of a surgical procedure includes a body having a bottom contact surface that has a portion that is shaped and configured to initimately receive and interlockingly mate with an acetabular notch of the patient's acetabulum in accordance with a three-dimensional image of the acetabulum of the specific patient. The three-dimensional image can be in the form of a three-dimensional virtual model of the patient's acetabulum that is constructed at least in part on 3D image data of the pelvic region of the patient.

Abstract: A patient-specific acetabular guide for use in orienting an acetabular component with respect to an acetabulum of a patient as part of a surgical procedure includes a body having a bottom contact surface that has a portion that is shaped and configured to initimately receive and interlockingly mate with an acetabular notch of the patient's acetabulum in accordance with a three-dimensional image of the acetabulum of the specific patient. The three-dimensional image can be in the form of a three-dimensional virtual model of the patient's acetabulum that is constructed at least in part on 3D image data of the pelvic region of the patient.

Abstract: A patient-specific acetabular guide for use in orienting an acetabular component with respect to an acetabulum of a patient as part of a surgical procedure includes a body having a bottom contact surface that has a portion that is shaped and configured to initimately receive and interlockingly mate with an acetabular notch of the patient's acetabulum in accordance with a three-dimensional image of the acetabulum of the specific patient. The three-dimensional image can be in the form of a three-dimensional virtual model of the patient's acetabulum that is constructed at least in part on 3D image data of the pelvic region of the patient.