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公开(公告)号：US12046368B2
公开(公告)日：2024-07-23
申请号：US17383205
申请日：2021-07-22
Applicant: Iterative Scopes, Inc.
Inventor： Jonathan Ng , Jean-Pierre Schott , Daniel Wang
IPC: G16H50/20 , A61B1/31 , A61B5/00 , G06F18/21 , G06F18/24 , G06N3/08 , G06T7/00 , G16B20/00 , G16B30/00 , G16B40/20 , G16H10/60 , G16H30/20 , G16H30/40 , G16H50/30 , G16H50/50 , G16H50/70 , G16H70/60 , G16H10/20 , G16H10/40
CPC classification number: G16H50/20 , A61B1/31 , A61B5/7267 , A61B5/7275 , G06F18/21 , G06F18/24 , G06N3/08 , G06T7/0012 , G16B20/00 , G16B30/00 , G16B40/20 , G16H10/60 , G16H30/20 , G16H30/40 , G16H50/30 , G16H50/50 , G16H50/70 , G16H70/60 , G06T2207/10068 , G06T2207/20081 , G06T2207/30092 , G06V2201/03 , G16H10/20 , G16H10/40
Abstract: This specification describes systems and methods for obtaining various patient related data for inflammatory bowel disease (IBD). The methods and systems are configured for using machine learning to determine measurements of various characteristics and provide analysis related to IBD. The methods and systems may also obtain and incorporate electronic health data as well as other relevant data of patients along with endoscopic data to use for prediction IDB progression and recommending treatment.
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公开(公告)号：US20220028059A1
公开(公告)日：2022-01-27
申请号：US16934777
申请日：2020-07-21
Applicant: Iterative Scopes, Inc.
Inventor： Jonathan Ng , Sloane Allebes Phillips , Amit Ranade , Daniel Wang , Perikumar Mukundbhai Javia , Avi Walden , Austin Wang , Evan Wlodkowski , Samriddhi Dhakal
Abstract: One or more machine learning techniques can be used to identify locations of potential malignancies within images (e.g., video images) captured during a medical procedure, such as an endoscopic procedure. The images can be displayed, in real-time, on a display unit. The images can be displayed with a graphical overlay that isolates the identified locations of potential malignancies
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公开(公告)号：US20230148855A1
公开(公告)日：2023-05-18
申请号：US17990623
申请日：2022-11-18
Applicant: Iterative Scopes, Inc.
Inventor： Daniel Wang , Jonathan Ng
CPC classification number: A61B1/31 , G06T7/0012 , G06T2207/10068
Abstract: Systems and methods for tracking an evolution of a disease in a colon of a patient over time are configured for operations including receiving video data representing a colon of a patient; segmenting the video data into segments representing portions of a colon of the patient; extracting, from the video data based on the segmenting, a set of features representing locations in the colon of the patient; and registering the feature vector as representing the colon of the patient for tracking the evolution of the disease in the colon of the patient. The system can be configured to predict disease progression predict drug dosage for patients.
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公开(公告)号：US20220028550A1
公开(公告)日：2022-01-27
申请号：US17383205
申请日：2021-07-22
Applicant: Iterative Scopes, Inc.
Inventor： Jonathan Ng , Jean-Pierre Schott , Daniel Wang
IPC: G16H50/20 , G16H30/20 , G16H30/40 , G16H50/70 , G16H50/50 , G16H50/30 , G16H10/60 , G16H70/60 , G06T7/00 , A61B1/31 , A61B5/00 , G16B20/00 , G16B30/00 , G16B40/20
Abstract: This specification describes systems and methods for obtaining various patient related data for inflammatory bowel disease (IBD). The methods and systems are configured for using machine learning to determine measurements of various characteristics and provide analysis related to IBD. The methods and systems may also obtain and incorporate electronic health data as well as other relevant data of patients along with endoscopic data to use for prediction IDB progression and recommending treatment.
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公开(公告)号：US20230154580A1
公开(公告)日：2023-05-18
申请号：US17990471
申请日：2022-11-18
Applicant: Iterative Scopes, Inc.
Inventor： Daniel Wang , Jonathan Ng
CPC classification number: G16H10/60 , G06T7/0012 , G06T2207/10068 , G06T2207/20081 , G06T2207/30032
Abstract: Generating a structured medical record from endoscopy data includes obtaining image data including endoscopic images representing portions of a gastrointestinal tract (GI) of a patient; determining features to extract from the image data, the features each representing a physical parameter of the GI tract; extracting the features from the image data; generating anatomical location data specifying a location within the GI tract of a portion of the GI tract represented in the image data; associating the anatomical location data with images that represent the portion of the GI tract; storing, in a node of a data store, data entries including the anatomical location data and the associated one or more images. The data store is configured to receive structured queries for the data entries in the data store and provide the data entries including the transformed features in response to receiving the structured queries.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20250022558A1
公开(公告)日：2025-01-16
申请号：US18770286
申请日：2024-07-11
Applicant: Iterative Scopes, Inc.
Inventor： Jonathan Ng , Daniel Wang
Abstract: This specification describes systems and methods for generating structured data records, such as electronic health records (EHR) or electronic medical records (EMR), based on medical data generated during an endoscopy procedure. More specifically, the data processing system and methods described in this document are configured to generate structured medical data automatically from images, videos, associated metadata, and other data generated during an endoscopy procedure for a patient.
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公开(公告)号：US20250022600A1
公开(公告)日：2025-01-16
申请号：US18779528
申请日：2024-07-22
Applicant: Iterative Scopes, Inc.
Inventor： Jonathan Ng , Jean-Pierre Schott , Daniel Wang
IPC: G16H50/20 , A61B1/31 , A61B5/00 , G06F18/21 , G06F18/24 , G06N3/08 , G06T7/00 , G16B20/00 , G16B30/00 , G16B40/20 , G16H10/20 , G16H10/40 , G16H10/60 , G16H30/20 , G16H30/40 , G16H50/30 , G16H50/50 , G16H50/70 , G16H70/60
Abstract: This specification describes systems and methods for obtaining various patient related data for inflammatory bowel disease (IBD). The methods and systems are configured for using machine learning to determine measurements of various characteristics and provide analysis related to IBD. The methods and systems may also obtain and incorporate electronic health data as well as other relevant data of patients along with endoscopic data to use for prediction IDB progression and recommending treatment.
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公开(公告)号：US20240296561A1
公开(公告)日：2024-09-05
申请号：US18603460
申请日：2024-03-13
Applicant: Iterative Scopes, Inc.
Inventor： Jonathan Ng , Sloane Allebes Phillips , Amit Ranade , Daniel Wang , Perikumar Mukundbhai Javia , Avi Walden , Austin Wang , Evan Wlodkowski , Samriddhi Dhakal
CPC classification number: G06T7/0012 , A61B1/00004 , A61B1/00016 , A61B1/0005 , A61B1/31 , G06T2207/10016 , G06T2207/10068 , G06T2207/20084 , G06T2207/30096 , G06T2210/12
Abstract: One or more machine learning techniques can be used to identify locations of potential malignancies within images (e.g., video images) captured during a medical procedure, such as an endoscopic procedure. The images can be displayed, in real-time, on a display unit. The images can be displayed with a graphical overlay that isolates the identified locations of potential malignancies
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公开(公告)号：US11961225B2
公开(公告)日：2024-04-16
申请号：US16934777
申请日：2020-07-21
Applicant: Iterative Scopes, Inc.
Inventor： Jonathan Ng , Sloane Allebes Phillips , Amit Ranade , Daniel Wang , Perikumar Mukundbhai Javia , Avi Walden , Austin Wang , Evan Wlodkowski , Samriddhi Dhakal
CPC classification number: G06T7/0012 , A61B1/00004 , A61B1/00016 , A61B1/0005 , A61B1/31 , G06T2207/10016 , G06T2207/10068 , G06T2207/20084 , G06T2207/30096 , G06T2210/12
Abstract: One or more machine learning techniques can be used to identify locations of potential malignancies within images (e.g., video images) captured during a medical procedure, such as an endoscopic procedure. The images can be displayed, in real-time, on a display unit. The images can be displayed with a graphical overlay that isolates the identified locations of potential malignancies.
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10.发明申请公开(公告)号：US20220028547A1
公开(公告)日：2022-01-27
申请号：US17164418
申请日：2021-02-01
Applicant: Iterative Scopes, Inc.
Inventor： Jonathan Ng , Jean-Pierre Schott , Perikumar Mukundbhai Javia , Austin Wang , Neelima Chavali , Thomas Varner , Lavi Erisson , Sloane Allebes Phillips , Daniel Wang
Abstract: This specification describes systems and methods for performing endoscopy, obtaining medical images for inflammatory bowel disease (IBD) and scoring severity of IBD in patients. The methods and systems are configured for using machine learning to determine measurements of various characteristics related to IBD. The methods and systems may also obtain and incorporate electronic health data of patients along with endoscopic data to use for scoring purposes.
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