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公开(公告)号:US11211153B2
公开(公告)日:2021-12-28
申请号:US16363019
申请日:2019-03-25
Applicant: Enlitic, Inc.
Inventor: Kevin Lyman , Anthony Upton , Lionel Lints , Ben Covington , Alexander Rhodes
IPC: G16H10/60 , G16H30/40 , G16H15/00 , G06N5/04 , G16H30/20 , G16H50/20 , H04L29/06 , G06K9/62 , G06T5/00 , G06T5/50 , G06T7/00 , G06T11/00 , G06N20/00 , G06F9/54 , G06T7/187 , G06T7/11 , G06F3/0482 , G06T3/40 , A61B5/00 , G06F21/62 , G06Q20/14 , G16H40/20 , G06F3/0484 , G06Q10/06 , G16H10/20 , G06T7/10 , G06T11/20 , G06F16/245 , G06T7/44 , G06N20/20 , G06K9/20 , H04L29/08 , G16H50/70 , G06T7/70 , G16H50/30 , A61B5/055 , A61B6/03 , A61B8/00 , G06K9/66 , A61B6/00 , G06Q50/22 , G06F40/295
Abstract: A medical scan labeling quality assurance system is operable to transmit a selected set of medical scans to a set of client devices associated with an expert user and a selected set of users. The client devices display medical scans are displayed to the expert user and the set of users, and a set of labeling data generated via user input to each client device is received from each client device. A set of performance score data is generated based on comparing each set of labeling data to a set of golden labeling data that was received from the client device of the expert user. The set of performance score data is used to update user profiles of the set of users, and is transmitted to the set of client devices for display to the set of users.
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公开(公告)号:US11152089B2
公开(公告)日:2021-10-19
申请号:US16362959
申请日:2019-03-25
Applicant: Enlitic, Inc.
Inventor: Kevin Lyman , Anthony Upton , Lionel Lints , Ben Covington
IPC: G16H30/20 , G16H10/60 , H04L29/06 , G16H30/40 , G16H15/00 , G06K9/62 , G06T5/00 , G06T5/50 , G06T7/00 , G06T11/00 , G06N5/04 , G06N20/00 , G06F9/54 , G06T7/187 , G06T7/11 , G06F3/0482 , G06T3/40 , A61B5/00 , G16H50/20 , G06F21/62 , G06Q20/14 , G16H40/20 , G06F3/0484 , G06Q10/06 , G16H10/20 , G06T7/10 , G06T11/20 , G06F16/245 , G06T7/44 , G06N20/20 , G06K9/20 , H04L29/08 , G16H50/70 , G06T7/70 , G16H50/30 , A61B5/055 , A61B6/03 , A61B8/00 , G06K9/66 , A61B6/00 , G06Q50/22 , G06F40/295
Abstract: A medical scan hierarchical labeling system stores labeling application data that includes application operational instructions and a plurality of prompt decision trees. A medical scan and the labeling application data are sent to a client device for storage. The client device executes the application operational instructions of the labeling application data, causing the client device to display, via an interactive interface, the medical scan and a plurality of prompts of each prompt decision tree in succession, beginning with automatically determined starting prompts of each prompt decision tree, in accordance with corresponding nodes of each prompt decision tree until a leaf node of each prompt decision tree is ultimately selected. The client device transmits labeling data indicating the ultimately selected leaf node of each prompt decision tree. A medical scan entry of the medical scan in a medical scan database is populated based on the set of labels.
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公开(公告)号:US20210295966A1
公开(公告)日:2021-09-23
申请号:US17336648
申请日:2021-06-02
Applicant: Enlitic, Inc.
Inventor: Kevin Lyman , Li Yao , Eric C. Poblenz , Jordan Prosky , Ben Covington , Anthony Upton
IPC: G16H10/60 , H04L29/06 , G16H30/40 , G16H15/00 , G06K9/62 , G06T5/00 , G06T5/50 , G06T7/00 , G06T11/00 , G06N5/04 , G16H30/20 , G06N20/00 , G06F9/54 , G06T7/187 , G06T7/11 , G06F3/0482 , G06T3/40 , A61B5/00 , G16H50/20 , G06F21/62 , G06Q20/14 , G16H40/20 , G06F3/0484 , G06Q10/06 , G16H10/20 , G06T7/10 , G06T11/20 , G06F16/245 , G06T7/44 , G06N20/20 , G06K9/20 , H04L29/08
Abstract: An intensity transform augmentation system is operable to generate a plurality of sets of augmented images by performing a set of intensity transformation functions on each of a training set of medical scans. Each of the set of intensity transformation functions are based on density properties of corresponding anatomy feature present in the training set of medical scans. A computer vision model is generated by performing a training step on the plurality of sets of augmented images, where each augmented image of a set of augmented images is assigned same output label data based on a corresponding one of the training set of medical scans. Inference data is generated by performing an inference function on a new medical scan by utilizing the computer vision model on the new medical scan. The inference data is transmitted to a client device for display via a display device.
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公开(公告)号:US10930387B2
公开(公告)日:2021-02-23
申请号:US16709123
申请日:2019-12-10
Applicant: Enlitic, Inc.
Inventor: Kevin Lyman , Devon Bernard , Li Yao , Diogo Almeida , Ben Covington , Anthony Upton
IPC: G16H30/40 , G06F19/00 , G06F3/048 , G06T7/00 , G06Q50/22 , G16H50/20 , A61B6/00 , A61B8/00 , A61B8/08 , G16H50/70 , G06N3/04 , G06F40/30 , G06F40/56 , G06F40/169 , G06F40/197 , G06F40/247 , G06F40/279 , G16H30/20 , G06T7/11 , G16H40/20 , G01T1/24 , G16H10/60 , G16H15/00 , G16H50/30 , A61B6/03 , G06F3/16 , G06K9/03 , G06K9/62 , A61B5/00 , G06N3/08 , G06Q10/10 , H04N5/32 , G16H40/63 , G06T11/60 , G06N20/10 , G06N7/00 , G16H40/67 , G16H50/50 , H04L29/08 , H04L29/06 , G06F3/0484 , G06F3/0485 , G06T11/00
Abstract: A chest x-ray differential diagnosis system is operable to generate abnormality pattern data is generated for each of a received plurality of chest x-rays by identifying at least one pattern in each chest x-ray corresponding to an abnormality by utilizing a computer vision model that is trained on a plurality of training chest x-rays. Differential diagnosis data is generated for each chest x-ray based on the abnormality pattern data. Filtering parameters are received from a client device, and a filtered chest x-ray queue that includes a subset of chest x-rays is selected based on the filtering parameters and the differential diagnosis data is generated for transmission to the client device for display. Differential diagnosis data corresponding a chest x-ray indicated in chest x-ray selection data received from the client device is transmitted to the client device for display via the display device in conjunction with the chest x-ray.
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公开(公告)号:US20200381093A1
公开(公告)日:2020-12-03
申请号:US16997237
申请日:2020-08-19
Applicant: Enlitic, Inc.
Inventor: Kevin Lyman , Keith Lui , Anthony Upton , Li Yao , Ben Covington
IPC: G16H10/60 , H04L29/06 , G16H30/40 , G16H15/00 , G06K9/62 , G06T5/00 , G06T5/50 , G06T7/00 , G06T11/00 , G06N5/04 , G16H30/20 , G06N20/00 , G06F9/54 , G06T7/187 , G06T7/11 , G06F3/0482 , G06T3/40 , A61B5/00 , G16H50/20 , G06F21/62 , G06Q20/14 , G16H40/20 , G06F3/0484 , G06Q10/06 , G16H10/20 , G06T7/10 , G06T11/20 , G06F16/245 , G06T7/44 , G06N20/20 , G06K9/20 , H04L29/08
Abstract: A clinical trial re-evaluation system is operable to perform at least one assessment function on a set of medical scans for each of a first subset of a set of patients of a failed clinical trial to generate automated assessment data for each of the first subset of the set of patients. The first subset of the set of patients corresponds to a subset of human assessment data determined to have failed to meet criteria of the clinical trial. Patient re-evaluation data is generated for each of the first subset of the set of patients by comparing the automated assessment data to the criteria. The patient re-evaluation data for a second subset of the first subset of the set of patients indicates the automated assessment data passes the criteria. Trial re-evaluation data is generated based on the patient re-evaluation data for transmission to a computing device for display.
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公开(公告)号:US20200373003A1
公开(公告)日:2020-11-26
申请号:US16991373
申请日:2020-08-12
Applicant: Enlitic, Inc.
Inventor: Kevin Lyman , Li Yao , Eric C. Poblenz , Ben Covington , Anthony Upton
Abstract: A medical scan triaging system is operable to generate a global abnormality probability for each of a plurality of medical scans by utilizing a computer vision model trained on a training set of medical scans; generate comparison data by comparing the global abnormality probability for each of the plurality of medical scans to a triage probability threshold; sort the plurality of medical scans, based on the comparison data, into a first subset of the plurality of medical scans, each having one of the plurality of abnormalities present, and a second subset of the plurality of medical scans, each having all of the plurality of abnormalities absent; and facilitate transmission, based on the sorting, of the first subset of the plurality of medical scans and the second subset of the plurality of medical scans to at least one medical scan viewing system.
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公开(公告)号:US10755811B2
公开(公告)日:2020-08-25
申请号:US16420634
申请日:2019-05-23
Applicant: Enlitic, Inc.
Inventor: Devon Bernard , Kevin Lyman , Li Yao , Anthony Upton , Ben Covington , Jeremy Howard
IPC: G16H30/40 , G06F19/00 , G06F3/048 , G06T7/00 , G06Q50/22 , G16H50/20 , A61B6/00 , A61B8/00 , A61B8/08 , G16H50/70 , G06N3/04 , G06F40/30 , G06F40/56 , G06F40/169 , G06F40/197 , G06F40/247 , G06F40/279 , G16H30/20 , G16H10/60 , G16H15/00 , G16H50/30 , A61B6/03 , G06F3/16 , G06K9/03 , G06K9/62 , A61B5/00 , G06N3/08 , G16H40/20 , G06Q10/10 , G06T7/11 , G01T1/24 , H04N5/32 , G16H40/63 , G06T11/60 , G06N20/10 , G06N7/00 , G16H50/50 , H04L29/08 , H04L29/06 , G06F3/0484 , G06F3/0485 , G06T11/00
Abstract: A medical scan comparison system is operable to receive a medical scan via a network and to generate similar scan data. The similar scan data includes a subset of medical scans from a medical scan database and is generated by performing an abnormality similarity function to determine that a set of abnormalities included in the subset of medical scans compare favorably to an abnormality identified in the medical scan. At least one cross-sectional image is selected from each medical scan of the subset of medical scans for display on a display device associated with a user of the medical scan comparison system in conjunction with the medical scan.
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公开(公告)号:US20200160968A1
公开(公告)日:2020-05-21
申请号:US16363019
申请日:2019-03-25
Applicant: Enlitic, Inc.
Inventor: Kevin Lyman , Anthony Upton , Lionel Lints , Ben Covington , Alexander Rhodes
Abstract: A medical scan labeling quality assurance system is operable to transmit a selected set of medical scans to a set of client devices associated with an expert user and a selected set of users. The client devices display medical scans are displayed to the expert user and the set of users, and a set of labeling data generated via user input to each client device is received from each client device. A set of performance score data is generated based on comparing each set of labeling data to a set of golden labeling data that was received from the client device of the expert user. The set of performance score data is used to update user profiles of the set of users, and is transmitted to the set of client devices for display to the set of users.
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公开(公告)号:US20200160966A1
公开(公告)日:2020-05-21
申请号:US16356134
申请日:2019-03-18
Applicant: Enlitic, Inc.
Inventor: Kevin Lyman , Anthony Upton , Li Yao , Ben Covington
Abstract: A triage routing system is operable to receive a medical scan via a receiver. Inference data for the medical scan is generated by performing an inference function, where the inference function utilizes a computer-vision model trained on a plurality of medical scans. One of a plurality of medical professionals is selected to review the medical scan based on the inference data. Triage routing data that indicates the medical scan and the one of the plurality of medical professionals is generated. The medical scan is transmitted to a client device associated with the one of the plurality of medical professionals for display via a display device in accordance with the triage routing data.
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公开(公告)号:US20200160942A1
公开(公告)日:2020-05-21
申请号:US16408640
申请日:2019-05-10
Applicant: Enlitic, Inc.
Inventor: Kevin Lyman , Anthony Upton , Li Yao , Ben Covington , Keith Lui
Abstract: An automatic patient recruitment system is operable to determine a set of eligibility criteria, which includes abnormality criteria and other patient criteria, for each of a plurality of pharmaceutical studies. Abnormality data is generated for received medical scans by performing at least one inference function on image data of each medical scans by utilizing a computer vision model trained on a training set of medical scans. One of a plurality of patients is identified to be eligible for a pharmaceutical study by determining a medical scan of the patient has abnormality data that compares favorably to the abnormality criteria of the pharmaceutical study and by determining that the patient has patient data that compares favorably to the other patient criteria of the pharmaceutical study. A notification indicating the identified patient is eligible for the pharmaceutical study is generated for transmission to a client device.
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