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公开(公告)号：US11475997B2
公开(公告)日：2022-10-18
申请号：US16798100
申请日：2020-02-21
Inventor： Srikrishna Karanam , Yimo Guo , Ziyan Wu
Abstract: Healthcare services can be automated utilizing a system that recognizes at least one characteristic of a patient based on images of the patient acquired by an image capturing device. Relying on information extracted from these images, the system may automate multiple aspects of a medical procedure such as patient identification and verification, positioning, diagnosis and/or treatment planning using artificial intelligence or machine learning techniques. By automating these operations, healthcare services can be provided remotely and/or with minimum physical contact between the patient and a medical professional.
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公开(公告)号：US20220277836A1
公开(公告)日：2022-09-01
申请号：US17737694
申请日：2022-05-05
Inventor： Ziyan Wu , Srikrishna Karanam , Arun Innanje , Shanhui Sun , Abhishek Sharma , Yimo Guo , Zhang Chen
IPC: G16H30/40 , G06T7/00 , G06T7/90 , G06T17/00 , G06T7/50 , G06T7/70 , G06K9/62 , G06T17/20 , G16H10/60 , G16H30/20 , A61B5/00 , G06V10/40 , G06V10/42 , G06V20/64 , G06V40/10 , G06V40/20 , G06V20/62
Abstract: A medical system may utilize a modular and extensible sensing device to derive a two-dimensional (2D) or three-dimensional (3D) human model for a patient in real-time based on images of the patient captured by a sensor such as a digital camera. The 2D or 3D human model may be visually presented on one or more devices of the medical system and used to facilitate a healthcare service provided to the patient. In examples, the 2D or 3D human model may be used to improve the speed, accuracy and consistency of patient positioning for a medical procedure. In examples, the 2D or 3D human model may be used to enable unified analysis of the patient's medical conditions by linking different scan images of the patient through the 2D or 3D human model. In examples, the 2D or 3D human model may be used to facilitate surgical navigation, patient monitoring, process automation, and/or the like.
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公开(公告)号：US20220172398A1
公开(公告)日：2022-06-02
申请号：US17651808
申请日：2022-02-20
Inventor： Ziyan Wu , Srikrishna Karanam
IPC: G06T7/73
Abstract: A system for patient positioning is provided. The system may acquire image data relating to a patient holding a posture and a plurality of patient models. Each patient model may represent a reference patient holding a reference posture, and include at least one reference interest point of the referent patient and a reference representation of the reference posture. The system may also identify at least one interest point of the patient from the image data using an interest point detection model. The system may further determine a representation of the posture of the patient based on a comparison between the at least one interest point of the patient and the at least one reference interest point in each of the plurality of patient models.
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公开(公告)号：US20220165396A1
公开(公告)日：2022-05-26
申请号：US17666319
申请日：2022-02-07
Inventor： Srikrishna Karanam , Ziyan Wu , Georgios Georgakis
IPC: G16H30/40 , G06T7/00 , G06T7/90 , G06T17/00 , G06T7/50 , G06T7/70 , G06K9/62 , G06T17/20 , G16H10/60 , G16H30/20 , A61B5/00 , G06V10/40 , G06V10/42 , G06V20/64 , G06V40/10 , G06V40/20
Abstract: Human mesh model recovery may utilize prior knowledge of the hierarchical structural correlation between different parts of a human body. Such structural correlation may be between a root kinematic chain of the human body and a head or limb kinematic chain of the human body. Shape and/or pose parameters relating to the human mesh model may be determined by first determining the parameters associated with the root kinematic chain and then using those parameters to predict the parameters associated with the head or limb kinematic chain. Such a task can be accomplished using a system comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the one or more processors to implement one or more neural networks trained to perform functions related to the task.
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公开(公告)号：US11335456B2
公开(公告)日：2022-05-17
申请号：US16860901
申请日：2020-04-28
Inventor： Ziyan Wu , Srikrishna Karanam , Arun Innanje , Shanhui Sun , Abhishek Sharma , Yimo Guo , Zhang Chen
IPC: G16H30/40 , A61B5/00 , G06K9/62 , G06T7/00 , G06T7/50 , G06T7/70 , G06T17/00 , G06V10/40 , G06T7/90 , G06T17/20 , G16H10/60 , G16H30/20 , G06V10/42 , G06V20/64 , G06V40/10 , G06V40/20
Abstract: A medical system may utilize a modular and extensible sensing device to derive a two-dimensional (2D) or three-dimensional (3D) human model for a patient in real-time based on images of the patient captured by a sensor such as a digital camera. The 2D or 3D human model may be visually presented on one or more devices of the medical system and used to facilitate a healthcare service provided to the patient. In examples, the 2D or 3D human model may be used to improve the speed, accuracy and consistency of patient positioning for a medical procedure. In examples, the 2D or 3D human model may be used to enable unified analysis of the patient's medical conditions by linking different scan images of the patient through the 2D or 3D human model. In examples, the 2D or 3D human model may be used to facilitate surgical navigation, patient monitoring, process automation, and/or the like.
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Patent Agency Ranking
公开(公告)号：US20220125400A1
公开(公告)日：2022-04-28
申请号：US17081381
申请日：2020-10-27
Inventor： Ziyan Wu , Srikrishna Karanam , Meng Zheng , Abhishek Sharma , Ren Li
Abstract: Systems, methods and instrumentalities are described herein for automating a medical environment. The automation may be realized using one or more sensing devices and at least one processing device. The sensing devices may be configured to capture images of the medical environment and provide the images to the processing device. The processing device may determine characteristics of the medical environment based on the images and automate one or more aspects of the operations in the medical environment. These characteristics may include, e.g., people and/or objects present in the images and respective locations of the people and/or objects in the medical environment. The operations that may be automated may include, e.g., maneuvering and/or positioning a medical device based on the location of a patient, determining and/or adjusting the parameters of a medical device, managing a workflow, providing instructions and/or alerts to a patient or a physician, etc.
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公开(公告)号：US11282218B2
公开(公告)日：2022-03-22
申请号：US16694456
申请日：2019-11-25
Inventor： Srikrishna Karanam , Ziyan Wu
Abstract: Methods and systems for using a patient representation model including a feature extraction model and a parameter determining model. For example, a computer-implemented method includes receiving, by a first feature extraction model, a depth image; generating, by the first feature extraction model, a first feature vector corresponding to the depth image; determining, by a parameter determining model, a plurality of three-dimensional model parameters based at least in part on the first feature vector; receiving a ground truth; determining a deviation between the ground truth and information associated with the plurality of three-dimensional model parameters; changing, based at least in part on the deviation, one or more parameters of the patient representation model; receiving a first patient image; determining a plurality of three-dimensional patient parameters based at least in part on the first patient image; and providing the plurality of three-dimensional patient parameters as medical guidance.
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公开(公告)号：US20210265057A1
公开(公告)日：2021-08-26
申请号：US16798100
申请日：2020-02-21
Inventor： Srikrishna Karanam , Yimo Guo , Ziyan Wu
Abstract: Healthcare services can be automated utilizing a system that recognizes at least one characteristic of a patient based on images of the patient acquired by an image capturing device. Relying on information extracted from these images, the system may automate multiple aspects of a medical procedure such as patient identification and verification, positioning, diagnosis and/or treatment planning using artificial intelligence or machine learning techniques. By automating these operations, healthcare services can be provided remotely and/or with minimum physical contact between the patient and a medical professional.
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公开(公告)号：US20210158107A1
公开(公告)日：2021-05-27
申请号：US16863382
申请日：2020-04-30
Inventor： Srikrishna Karanam , Ziyan Wu , Georgios Georgakis
Abstract: Human mesh model recovery may utilize prior knowledge of the hierarchical structural correlation between different parts of a human body. Such structural correlation may be between a root kinematic chain of the human body and a head or limb kinematic chain of the human body. Shape and/or pose parameters relating to the human mesh model may be determined by first determining the parameters associated with the root kinematic chain and then using those parameters to predict the parameters associated with the head or limb kinematic chain. Such a task can be accomplished using a system comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the one or more processors to implement one or more neural networks trained to perform functions related to the task.
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公开(公告)号：US12186913B2
公开(公告)日：2025-01-07
申请号：US17564919
申请日：2021-12-29
Inventor： Ziyan Wu , Srikrishna Karanam , Meng Zheng , Abhishek Sharma
IPC: G06V20/52 , A61B5/055 , A61B6/03 , A61B6/10 , A61B34/30 , B25J9/16 , B25J13/08 , G05D1/00 , G06T7/215 , G06T7/254 , G06T19/00 , G06V10/25 , G06V10/70 , G06V20/64
Abstract: An apparatus for automated collision avoidance includes a sensor configured to detect an object of interest, predicting a representation of the object of interest at a future point in time, calculating an indication of a possibility of a collision with the object of interest based on the representation of the object of interest at the future point in time, and executing a collision avoidance action based on the indication.
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