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公开(公告)号：US20230053982A1
公开(公告)日：2023-02-23
申请号：US17891056
申请日：2022-08-18
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Mary Khun Hor-Lao , Binesh Balasingh , Scott DeBates , Douglas Alfred Lautner , Yagna Pathak , Simeng Zhang , Diane Whitmer , Anahita Kyani , Hyun-Joo Park , Erika Ross , David Page , Ameya Naivadekar , Dehan Zhu
Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.
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公开(公告)号：US11786309B2
公开(公告)日：2023-10-17
申请号：US17135022
申请日：2020-12-28
Applicant: ADVANCED NEUROMODULATION SYSTEMS, INC.
Inventor： Yagna Pathak , Simeng Zhang , Dehan Zhu , Anahita Kyani , Hyun-Joo Park , Erika Ross
IPC: A61B34/10 , G06T7/70 , G16H30/40 , G06V10/25 , A61B5/055 , A61B6/03 , A61B6/00 , G06N3/08 , G06T7/00 , G06F18/214 , A61N1/05
CPC classification number: A61B34/10 , A61B5/055 , A61B6/032 , A61B6/469 , A61B6/501 , A61B6/5223 , A61B6/5247 , G06F18/214 , G06N3/08 , G06T7/0014 , G06T7/70 , G06V10/25 , G16H30/40 , A61B2034/107 , A61B2505/05 , A61N1/0534 , G06T2207/10081 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/30016 , G06T2207/30241 , G06V2201/031
Abstract: A system and method for facilitating DBS electrode trajectory planning using a machine learning (ML)-based feature identification scheme configured to identify and distinguish between various regions of interest (ROIs) and regions of avoidance (ROAs) in a patient's brain scan image. In one arrangement, standard orientation image slices as well as re-sliced images in non-standard orientations are provided in a labeled input dataset for training a CNN/ANN for distinguishing between ROIs and ROAs. Upon identification of the ROIs and ROAs in the patient's brain scan image, an optimal trajectory for implanting a DBS lead may be determined relative to a particular ROI while avoiding any ROAs.
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公开(公告)号：US20230054788A1
公开(公告)日：2023-02-23
申请号：US17891099
申请日：2022-08-18
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Mary Khun Hor-Lao , Binesh Balasingh , Scott DeBates , Douglas Alfred Lautner , Yagna Pathak , Simeng Zhang , Diane Whitmer , Anahita Kyani , Hyun-Joo Park , Erika Ross , David Page , Ameya Nanivadekar , Dehan Zhu
Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.
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公开(公告)号：US20230414288A1
公开(公告)日：2023-12-28
申请号：US18242888
申请日：2023-09-06
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Yagna Pathak , Simeng Zhang , Dehan Zhu , Anahita Kyani , Hyun-Joo Park , Erika Ross
IPC: A61B34/10 , G06T7/70 , G16H30/40 , G06V10/25 , A61B5/055 , A61B6/03 , A61B6/00 , G06N3/08 , G06T7/00 , G06F18/214
CPC classification number: A61B34/10 , G06T7/70 , G16H30/40 , G06V10/25 , A61B5/055 , A61B6/032 , A61B6/469 , A61B6/501 , A61B6/5223 , A61B6/5247 , G06N3/08 , G06T7/0014 , G06F18/214 , A61B2034/107 , G06V2201/031 , A61B2505/05 , A61N1/0534
Abstract: A system and method for facilitating DBS electrode trajectory planning using a machine learning (ML)-based feature identification scheme configured to identify and distinguish between various regions of interest (ROIs) and regions of avoidance (ROAs) in a patient's brain scan image. In one arrangement, standard orientation image slices as well as re-sliced images in non-standard orientations are provided in a labeled input dataset for training a CNN/ANN for distinguishing between ROIs and ROAs. Upon identification of the ROIs and ROAs in the patient's brain scan image, an optimal trajectory for implanting a DBS lead may be determined relative to a particular ROI while avoiding any ROAs.
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公开(公告)号：US20230059282A1
公开(公告)日：2023-02-23
申请号：US17891071
申请日：2022-08-18
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Yagna Pathak , Simeng Zhang , Diane Whitmer , Anahita Kyani , Hyun-Joo Park , Erika Ross , David Page , Ameya Nanivadekar , Dehan Zhu
IPC: G16H80/00
Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20220175458A1
公开(公告)日：2022-06-09
申请号：US17113385
申请日：2020-12-07
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Yagna Pathak , Hyun-Joo Park , Simeng Zhang , Anahita Kyani , Erika Ross , Dehan Zhu , Douglas Lautner
Abstract: The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.
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公开(公告)号：US20230059718A1
公开(公告)日：2023-02-23
申请号：US17891063
申请日：2022-08-18
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Mary Khun Hor-Lao , Binesh Balasingh , Scott DeBates , Douglas Alfred Lautner , Yagna Pathak , Simeng Zhang , Diane Whitmer , Anahita Kyani , Hyun-Joo Park , Erika Ross , David Page , Ameya Nanivadekar , Dehan Zhu
Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.
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公开(公告)号：US20230054906A1
公开(公告)日：2023-02-23
申请号：US17891073
申请日：2022-08-18
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Mary Khun Hor-Lao , Binesh Balasingh , Scott DeBates , Douglas Alfred Lautner , Yagna Pathak , Simeng Zhang , Diane Whitmer , Anahita Kyani , Hyun-Joo Park , Erika Ross , David Page , Ameya Nanivadekar , Dehan Zhu
Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.
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公开(公告)号：US20220202491A1
公开(公告)日：2022-06-30
申请号：US17135022
申请日：2020-12-28
Applicant: ADVANCED NEUROMODULATION SYSTEMS, INC.
Inventor： Yagna Pathak , Simeng Zhang , Dehan Zhu , Anahita Kyani , Hyun-Joo Park , Erika Ross
IPC: A61B34/10 , G06K9/32 , G06K9/62 , G06T7/70 , G06T7/00 , A61B6/03 , A61B6/00 , A61B5/055 , G06N3/08 , G16H30/40
Abstract: A system and method for facilitating DBS electrode trajectory planning using a machine learning (ML)-based feature identification scheme configured to identify and distinguish between various regions of interest (ROIs) and regions of avoidance (ROAs) in a patient's brain scan image. In one arrangement, standard orientation image slices as well as re-sliced images in non-standard orientations are provided in a labeled input dataset for training a CNN/ANN for distinguishing between ROIs and ROAs. Upon identification of the ROIs and ROAs in the patient's brain scan image, an optimal trajectory for implanting a DBS lead may be determined relative to a particular ROI while avoiding any ROAs.
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10.发明公开公开(公告)号：US20230240760A1
公开(公告)日：2023-08-03
申请号：US18131131
申请日：2023-04-05
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Yagna Pathak , Hyun-Joo Park , Simeng Zhang , Anahita Kyani , Erika Ross , Dehan Zhu , Douglas Lautner
CPC classification number: A61B34/20 , G06T7/73 , A61N1/0534 , G16H30/40 , G16H20/40 , G16H50/20 , G06V10/40 , G06F18/2148 , A61B2090/374
Abstract: The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.
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