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公开(公告)号:US20240161035A1
公开(公告)日:2024-05-16
申请号:US18087086
申请日:2022-12-22
申请人: Enlitic, Inc.
发明人: Kevin Lyman , Anthony Upton , Jordan Francis , Vicky Li , Mark Freudenberg , Alexander Pong , Alexander Freska , Zachary Holt
IPC分类号: G06Q10/0631 , A61B5/00 , G06F3/0482 , G06F3/0484 , G06F9/54 , G06F16/245 , G06F18/21 , G06F18/2115 , G06F18/214 , G06F18/2415 , G06F18/40 , G06F21/62 , G06N5/04 , G06N5/045 , G06N20/00 , G06N20/20 , G06Q20/14 , G06T3/40 , G06T5/50 , G06T5/70 , G06T5/94 , G06T7/00 , G06T7/10 , G06T7/11 , G06T7/187 , G06T7/44 , G06T11/00 , G06T11/20 , G06V10/22 , G06V10/25 , G06V10/764 , G06V10/82 , G06V30/19 , G06V40/16 , G16H10/20 , G16H10/60 , G16H15/00 , G16H30/20 , G16H30/40 , G16H40/20 , G16H50/20 , H04L67/01 , H04L67/12
CPC分类号: G06Q10/06315 , A61B5/7264 , G06F3/0482 , G06F3/0484 , G06F9/542 , G06F16/245 , G06F18/2115 , G06F18/214 , G06F18/217 , G06F18/2415 , G06F18/41 , G06F21/6254 , G06N5/04 , G06N5/045 , G06N20/00 , G06N20/20 , G06Q20/14 , G06T3/40 , G06T5/50 , G06T5/70 , G06T5/94 , G06T7/0012 , G06T7/0014 , G06T7/10 , G06T7/11 , G06T7/187 , G06T7/44 , G06T7/97 , G06T11/001 , G06T11/006 , G06T11/206 , G06V10/225 , G06V10/25 , G06V10/764 , G06V10/82 , G06V30/19173 , G06V40/171 , G16H10/20 , G16H10/60 , G16H15/00 , G16H30/20 , G16H30/40 , G16H40/20 , G16H50/20 , H04L67/01 , H04L67/12 , G16H50/70
摘要: A medical scan viewing system is configured to: generate inference data via at least one inference function, based the at least one medical scan and further based on receiver operating characteristic (ROC) parameters that include at least one ROC set point; present for display, via an interactive user interface, medical image data corresponding to the at least one medical scan, the inference data and a ROC adjustment tool; generate, in response to user interaction with the ROC adjustment tool, at least one adjusted ROC set point; generate updated inference data via the at least one inference function, based the at least one medical scan and further based on the at least one adjusted ROC set point; and present for display, via the interactive user interface, the medical image data corresponding to the at least one medical scan and the updated inference data.
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公开(公告)号:US11829914B2
公开(公告)日:2023-11-28
申请号:US17680493
申请日:2022-02-25
申请人: Enlitic, Inc.
发明人: Kevin Lyman , Anthony Upton , Li Yao , Jordan Prosky , Eric C. Poblenz , Chris Croswhite , Ben Covington
IPC分类号: G16H30/20 , G06Q10/0631 , G16H10/60 , G16H30/40 , G16H15/00 , 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 , G16H10/20 , G06N5/045 , G06T7/10 , G06T11/20 , G06F16/245 , G06T7/44 , G06N20/20 , H04L67/12 , H04L67/01 , G06V10/82 , G06F18/40 , G06F18/214 , G06F18/21 , G06F18/2115 , G06F18/2415 , G06V10/25 , G06V30/19 , G06V10/764 , G06V40/16 , G06V10/22 , G16H50/70 , G06T7/70 , G16H50/30 , A61B5/055 , A61B6/03 , A61B8/00 , A61B6/00 , G06Q50/22 , G06F40/295 , G06F18/24 , G06F18/2111 , G06V30/194
CPC分类号: G06Q10/06315 , A61B5/7264 , G06F3/0482 , G06F3/0484 , G06F9/542 , G06F16/245 , G06F18/214 , G06F18/217 , G06F18/2115 , G06F18/2415 , G06F18/41 , G06F21/6254 , G06N5/04 , G06N5/045 , G06N20/00 , G06N20/20 , G06Q20/14 , G06T3/40 , G06T5/002 , G06T5/008 , G06T5/50 , G06T7/0012 , G06T7/0014 , G06T7/10 , G06T7/11 , G06T7/187 , G06T7/44 , G06T7/97 , G06T11/001 , G06T11/006 , G06T11/206 , G06V10/225 , G06V10/25 , G06V10/764 , G06V10/82 , G06V30/19173 , G06V40/171 , G16H10/20 , G16H10/60 , G16H15/00 , G16H30/20 , G16H30/40 , G16H40/20 , G16H50/20 , H04L67/01 , H04L67/12 , A61B5/055 , A61B6/032 , A61B6/5217 , A61B8/4416 , G06F18/2111 , G06F18/24 , G06F40/295 , G06Q50/22 , G06T7/70 , G06T2200/24 , G06T2207/10048 , G06T2207/10081 , G06T2207/10088 , G06T2207/10116 , G06T2207/10132 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004 , G06T2207/30008 , G06T2207/30016 , G06T2207/30061 , G06V30/194 , G06V2201/03 , G16H50/30 , G16H50/70
摘要: A medical scan header standardization system is operable to determine a plurality of counts for a plurality of entries of at least one of a standard set of fields for headers of a plurality of medical images. A standard set of header entries is determined for at least one of the standard set of fields based on including ones of the entries for the each of the standard set of fields with counts of the plurality of counts that compare favorably to a threshold. One of the standard set of header entries is selected to replace an entry of a field of a header of a medical image. A computer vision model is trained utilizing a training set of images that includes the medical image and the selected one of the standard set of header entries. Inference data for at least one new medical scan is generated based on utilizing the computer vision model.
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公开(公告)号:US11790297B2
公开(公告)日:2023-10-17
申请号:US17573184
申请日:2022-01-11
申请人: Enlitic, Inc.
发明人: Kevin Lyman , Li Yao , Eric C. Poblenz , Jordan Prosky , Ben Covington , Anthony Upton , Lionel Lints
IPC分类号: G16H50/20 , G06Q10/0631 , G16H10/60 , G16H30/40 , G16H15/00 , 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 , G06F21/62 , G06Q20/14 , G16H40/20 , G06F3/0484 , G16H10/20 , G06N5/045 , G06T7/10 , G06T11/20 , G06F16/245 , G06T7/44 , G06N20/20 , H04L67/12 , H04L67/01 , G06V10/82 , G06F18/40 , G06F18/214 , G06F18/21 , G06F18/2115 , G06F18/2415 , G06V10/25 , G06V30/19 , G06V10/764 , G06V40/16 , G06V10/22 , G16H50/70 , G06T7/70 , G16H50/30 , A61B5/055 , A61B6/03 , A61B8/00 , A61B6/00 , G06Q50/22 , G06F40/295 , G06F18/24 , G06F18/2111 , G06V30/194
CPC分类号: G06Q10/06315 , A61B5/7264 , G06F3/0482 , G06F3/0484 , G06F9/542 , G06F16/245 , G06F18/214 , G06F18/217 , G06F18/2115 , G06F18/2415 , G06F18/41 , G06F21/6254 , G06N5/04 , G06N5/045 , G06N20/00 , G06N20/20 , G06Q20/14 , G06T3/40 , G06T5/002 , G06T5/008 , G06T5/50 , G06T7/0012 , G06T7/0014 , G06T7/10 , G06T7/11 , G06T7/187 , G06T7/44 , G06T7/97 , G06T11/001 , G06T11/006 , G06T11/206 , G06V10/225 , G06V10/25 , G06V10/764 , G06V10/82 , G06V30/19173 , G06V40/171 , G16H10/20 , G16H10/60 , G16H15/00 , G16H30/20 , G16H30/40 , G16H40/20 , G16H50/20 , H04L67/01 , H04L67/12 , A61B5/055 , A61B6/032 , A61B6/5217 , A61B8/4416 , G06F18/2111 , G06F18/24 , G06F40/295 , G06Q50/22 , G06T7/70 , G06T2200/24 , G06T2207/10048 , G06T2207/10081 , G06T2207/10088 , G06T2207/10116 , G06T2207/10132 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004 , G06T2207/30008 , G06T2207/30016 , G06T2207/30061 , G06V30/194 , G06V2201/03 , G16H50/30 , G16H50/70
摘要: A model-assisted annotating system is operable to receive a first set of annotation data, corresponding to a broad type of annotation data output. A first training step is performed to train a computer vision model using the first set of annotation data. A second set of annotation data corresponding to the broad type of annotation data output is generated performing an inference function utilizing the computer vision model on medical scans. Additional annotation data further specifies the broad type of annotation data output is received. A second training step is performed to generate an updated computer vision model using set of additional annotation data. A third set of annotation data corresponding to the specified type of annotation data output is generated by performing an updated inference function utilizing the updated computer vision model on medical scans.
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公开(公告)号:US11763933B2
公开(公告)日:2023-09-19
申请号:US17135067
申请日:2020-12-28
申请人: Enlitic, Inc.
发明人: Devon Bernard , Kevin Lyman , Li Yao , Brian Basham , Rewon Child
IPC分类号: G16H30/40 , G16H15/00 , G06F3/048 , G06T7/00 , G06Q50/22 , G16H50/20 , A61B6/00 , A61B8/00 , A61B8/08 , G16H50/70 , G06F40/30 , G06F40/56 , G06F40/169 , G06F40/197 , G06F40/247 , G06F40/279 , G16H30/20 , G06T7/11 , G16H40/20 , G01T1/24 , G06V10/98 , G06F18/22 , G06F18/24 , G06N3/045 , G06V10/74 , G06V10/764 , G16H10/60 , G16H50/30 , A61B6/03 , G06F3/16 , A61B5/00 , G06N3/04 , G06N3/084 , G06Q10/10 , H04N5/32 , G16H40/63 , G06T11/60 , G06N20/10 , G16H40/67 , G06V10/75 , H04L67/01 , G06F18/214 , G06N7/01 , G16H50/50 , H04L67/12 , G06F3/04842 , G06F3/0485 , G06T11/00
CPC分类号: G16H30/40 , A61B5/002 , A61B5/0022 , A61B6/032 , A61B6/4233 , A61B6/463 , A61B6/468 , A61B6/50 , A61B6/503 , A61B6/5217 , A61B6/5288 , A61B6/5294 , A61B6/563 , A61B8/468 , A61B8/5223 , A61B8/565 , G01T1/247 , G06F3/048 , G06F3/167 , G06F18/22 , G06F18/24 , G06F40/169 , G06F40/197 , G06F40/247 , G06F40/279 , G06F40/30 , G06F40/56 , G06N3/04 , G06N3/045 , G06N3/084 , G06Q10/10 , G06Q10/103 , G06Q50/22 , G06T7/0012 , G06T7/0016 , G06T7/11 , G06V10/761 , G06V10/764 , G06V10/98 , G16H10/60 , G16H15/00 , G16H30/20 , G16H40/20 , G16H40/63 , G16H50/20 , G16H50/30 , G16H50/70 , H04N5/32 , A61B6/505 , G06F3/0485 , G06F3/04842 , G06F18/214 , G06N7/01 , G06N20/10 , G06T11/003 , G06T11/60 , G06T2200/24 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10116 , G06T2207/10132 , G06T2207/20081 , G06T2207/30004 , G06T2207/30061 , G06T2207/30068 , G06V10/751 , G06V2201/03 , G16H40/67 , G16H50/50 , H04L67/01 , H04L67/12
摘要: 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.
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公开(公告)号:US11664114B2
公开(公告)日:2023-05-30
申请号:US15627644
申请日:2017-06-20
申请人: Enlitic, Inc.
发明人: Kevin Lyman , Devon Bernard , Li Yao , Ben Covington , Anthony Upton
IPC分类号: G16H30/40 , G06F3/048 , G06T7/00 , G06Q50/22 , G16H50/20 , A61B6/00 , A61B8/00 , A61B8/08 , G16H50/70 , G06F40/30 , G06F40/56 , G06F40/169 , G06F40/197 , G06F40/247 , G06F40/279 , G16H30/20 , G06T7/11 , G16H40/20 , G01T1/24 , G06V10/98 , G06F18/22 , G06F18/24 , G06N3/045 , G16H10/60 , G16H15/00 , G16H50/30 , A61B6/03 , G06F3/16 , A61B5/00 , G06N3/04 , G06N3/084 , G06Q10/10 , H04N5/32 , G16H40/63 , G06T11/60 , G06N20/10 , G16H40/67 , G06V10/75 , H04L67/01 , G06F18/214 , G06N7/01 , G16H50/50 , H04L67/12 , G06F3/04842 , G06F3/0485 , G06T11/00
CPC分类号: G16H30/40 , A61B5/002 , A61B5/0022 , A61B6/032 , A61B6/4233 , A61B6/463 , A61B6/468 , A61B6/50 , A61B6/503 , A61B6/5217 , A61B6/5288 , A61B6/5294 , A61B6/563 , A61B8/468 , A61B8/5223 , A61B8/565 , G01T1/247 , G06F3/048 , G06F3/167 , G06F18/22 , G06F18/24 , G06F40/169 , G06F40/197 , G06F40/247 , G06F40/279 , G06F40/30 , G06F40/56 , G06N3/04 , G06N3/045 , G06N3/084 , G06Q10/10 , G06Q10/103 , G06Q50/22 , G06T7/0012 , G06T7/0016 , G06T7/11 , G06V10/98 , G16H10/60 , G16H15/00 , G16H30/20 , G16H40/20 , G16H40/63 , G16H50/20 , G16H50/30 , G16H50/70 , H04N5/32 , A61B6/505 , G06F3/0485 , G06F3/04842 , G06F18/214 , G06N7/01 , G06N20/10 , G06T11/003 , G06T11/60 , G06T2200/24 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10116 , G06T2207/10132 , G06T2207/20081 , G06T2207/30004 , G06T2207/30061 , G06T2207/30068 , G06V10/751 , G06V2201/03 , G16H40/67 , G16H50/50 , H04L67/01 , H04L67/12
摘要: A medical scan assisted review system is operable to receive, via a network, a medical scan for review. Abnormality data is generated by identifying a plurality of abnormalities in the medical scan by utilizing a computer vision model that is trained on a plurality of training medical scans. The abnormality data includes location data and classification data for each of the plurality of abnormalities. Text describing each of the plurality of abnormalities is generated based on the abnormality data. The abnormality data and the text is transmitted to a client device. A display device associated with the client device displays the abnormality data in conjunction with the medical scan via an interactive interface, and the display device further displays the text via the interactive interface.
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公开(公告)号:US11626195B2
公开(公告)日:2023-04-11
申请号:US17447708
申请日:2021-09-15
申请人: Enlitic, Inc.
发明人: Kevin Lyman , Anthony Upton , Lionel Lints , Ben Covington
IPC分类号: G16H10/60 , 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 , G06Q10/0631 , G16H10/20 , G06N5/045 , G06T7/10 , G06T11/20 , G06F16/245 , G06T7/44 , G06N20/20 , H04L67/12 , G06V10/22 , H04L67/01 , G06V10/82 , G16H50/70 , G06T7/70 , G16H50/30 , A61B5/055 , A61B6/03 , A61B8/00 , A61B6/00 , G06Q50/22 , G06F40/295 , G06V30/194
摘要: A method comprises displaying, via an interactive interface, a medical scan and a plurality of prompts of each prompt decision tree of a plurality of prompt decision trees 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. Labeling data indicating the ultimately selected leaf node of each prompt decision tree is determined for the medical scan.
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公开(公告)号:US11462308B2
公开(公告)日:2022-10-04
申请号:US17109431
申请日:2020-12-02
申请人: Enlitic, Inc.
发明人: Kevin Lyman , Anthony Upton , Li Yao , Ben Covington
IPC分类号: G06K9/00 , G16H10/60 , 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 , H04L67/12 , G06V10/22 , H04L67/01 , G06V10/82 , G16H50/70 , G06T7/70 , G16H50/30 , A61B5/055 , A61B6/03 , A61B8/00 , A61B6/00 , G06Q50/22 , G06F40/295 , G06V30/194
摘要: 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:US11282198B2
公开(公告)日:2022-03-22
申请号:US16939495
申请日:2020-07-27
申请人: Enlitic, Inc.
发明人: Kevin Lyman , Eric C. Poblenz , Li Yao , Ben Covington , Anthony Upton
摘要: A multi-label heat map generating system is operable to receive a plurality of medical scans and a corresponding plurality of medical labels that each correspond to one of a set of abnormality classes. A computer vision model is generated by training on the medical scans and the medical labels. Probability matrix data, which includes a set of image patch probability values that each indicate a probability that a corresponding one of the set of abnormality classes is present in each of a set of image patches, is generated by performing an inference function that utilizes the computer vision model on a new medical scan. Preliminary heat map visualization data can be generated for transmission to a client device based on the probability matrix data. Heat map visualization data can be generated via a post-processing of the preliminary heat map visualization data to mitigate heat map artifacts.
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公开(公告)号:US20220084642A1
公开(公告)日:2022-03-17
申请号:US17457050
申请日:2021-12-01
申请人: Enlitic, Inc.
发明人: Kevin Lyman , Li Yao , Eric C. Poblenz , Jordan Prosky , Ben Covington , Anthony Upton
IPC分类号: 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
摘要: A medical scan triaging system is operable to train a computer vision model and to generate abnormality data indicating abnormality probabilities for medical scans via the computer vision model. A first subset of medical scans is determined by identifying medical scans with abnormality probabilities greater than a first probability value of a triage probability threshold. A second subset of medical scans is determined by identifying medical scans with abnormality probabilities less than the first probability value. An updated first subset of medical scans is determined by identifying medical scans with abnormality probabilities greater than a second probability value of an updated triage probability threshold. An updated second subset of the plurality of medical scans is determined by identifying medical scans with a abnormality probabilities less than the second probability value. The updated first subset of medical scans is transmitted to client devices.
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公开(公告)号:US20220061746A1
公开(公告)日:2022-03-03
申请号:US17007924
申请日:2020-08-31
申请人: Enlitic, Inc.
发明人: Kevin Lyman , Ben Covington, JR. , Anthony Upton
IPC分类号: A61B5/00 , G16H50/30 , G16H70/20 , G16H50/70 , G16H40/20 , G16H70/60 , G16H30/20 , G16H30/40 , G16H50/20 , G16H15/00
摘要: A risk assessment system is configured to receive patient history data for a patient. A set of risk assessment scores corresponding to the patient are generated for a set of risk assessment categories based on applying at least one risk assessment function to the patient history data. One of the set of risk assessment categories is identified as high risk for the patient based on a corresponding one of the set of risk assessment scores. A high risk protocol corresponding to the one of the set of risk assessment categories is identified, and performance of the high risk protocol is facilitated for the patient based on identification of the one of the set of risk assessment categories as high risk for the patient.
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