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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：US20230053971A1
公开(公告)日：2023-02-23
申请号：US17891082
申请日：2022-08-18
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Erika Ross , Mary Khun Hor-Lao , Binesh Balasingh , Scott DeBates , Doug Lautner , Kyuwan Choi , Anahita Kyani
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：US20220143410A1
公开(公告)日：2022-05-12
申请号：US17091469
申请日：2020-11-06
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Anahita Kyani , Jagatkumar Shah , Douglas Lautner , Ali Taheri , Simeng Zhang , Yagna Pathak , Erika Ross , Hyun-Joo Park
IPC: A61N1/365 , A61B5/0215
Abstract: Provided herein is a computing system for optimizing a waveform, in communication with an implantable pulse generator, and including a computing device including a memory device and a processor communicatively coupled to the memory device. The processor is configured to: retrieve historical waveform data associated with a plurality of waveforms used in therapeutic sessions for a plurality of patients, the historical waveform data including a plurality of waveform parameters; analyzing the historical waveform data to determine preferred waveform parameters; determining that a patient is starting a new therapeutic session using the patient therapeutic device; displaying each of the preferred waveform parameters; prompting the user to accept or modify the displayed waveform parameters; optimizing the waveform parameters for the therapeutic session; and transmitting the optimized waveform parameters to the patient therapeutic device to start the therapeutic session.
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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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Patent Agency Ranking
公开(公告)号：US20230054172A1
公开(公告)日：2023-02-23
申请号：US17891078
申请日：2022-08-18
Applicant: Advanced Neuromodulation Systems, Inc.
Inventor： Mary Khun Hor-Lao , Binesh Balasingh , Scott DeBates , Douglas Alfred Lautner , Kyuwan Choi , Anahita Kyani , Erika Ross
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：US20230054076A1
公开(公告)日：2023-02-23
申请号：US17891087
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 , Plano 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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10.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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