公开(公告)号：US20230215149A1

公开(公告)日：2023-07-06

申请号：US18010480

申请日：2020-07-02

Applicant: XII Lab

Inventor： Woo Yung LEE ,  Dae Su CHUNG ,  Se Hun KIM

IPC: G06V10/774 ,  G16H30/40

CPC classification number: G06V10/7753 ,  G16H30/40 ,  G06V2201/031

Abstract: A deep learning system establishes a simple process of generating a deep learning model, and provides an intuitive, natural and easy interaction in performing feedback on image input, manual labelling and automated labelling required for the above-described operations. Therefore, a user without expertise in deep learning can have an opportunity to directly generate and use a user-customized image identification deep learning model for identifying a desired object to be identified.

公开(公告)号：US20230210398A1

公开(公告)日：2023-07-06

申请号：US18011151

申请日：2021-06-16

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Yitzhack SCHWARTZ ,  Zalman IBRAGIMOV ,  Yehonatan BEN DAVID ,  Eli DICHTERMAN

IPC: A61B5/0536 ,  A61B5/0538 ,  A61B5/00 ,  A61B5/06 ,  A61B34/20 ,  G06T19/00 ,  G06V20/64 ,  G06V10/75

CPC classification number: A61B5/0536 ,  A61B5/0538 ,  A61B5/0044 ,  A61B5/7246 ,  A61B5/742 ,  A61B5/061 ,  A61B34/20 ,  A61B5/6852 ,  G06T19/00 ,  G06V20/64 ,  G06V10/757 ,  G06T2210/56 ,  G06V2201/031

Abstract: The present invention relates to imaging a hollow organ. In order to provide an improved and facilitated imaging of a hollow organ of interest, a device (10) for providing three-dimensional data of a hollow organ is provided that comprises a measurement input (12), a data processor (14) and an output interface (16). The measurement input is configured to receive a plurality of local electric field measurements (18) of at least one electrode on a catheter inserted in a lumen of a hollow organ of interest. The measurement input is also configured to receive geometrical data (20) representative of the location of the at least one electrode inside the lumen during the measurements. The data processor is configured to receive pre-set electric field characteristics (22) associated with predetermined anatomical landmarks of the hollow organ expectable in the lumen in dependency of a type of the hollow organ. The data processor is also configured to compare at least one of the plurality of local electric field measurements with the pre-set electric field characteristics to determine matching electric field measurements. The data processor is further configured to allocate local electric field measurements to matching electric field characteristics based on the geometrical data to identify anatomical landmarks of the hollow organ by identifying those local field measurements in the plurality of measurements that correspond to landmarks of the hollow organ. The data processor is still further configured to generate a three-dimensional image data cloud (24) by transforming the allocated electric field measurements into portions of the three-dimensional image data cloud based on the identified anatomical landmarks. The output interface is configured to provide the three-dimensional image data cloud.

公开(公告)号：US20230206446A1

公开(公告)日：2023-06-29

申请号：US18172285

申请日：2023-02-21

Applicant: Acer Incorporated

Inventor： Hung-Sheng Hsu ,  Chien-Hung Li ,  Yi-Jin Huang

IPC: G06T7/00 ,  G06T7/20 ,  A61B8/08 ,  G06V10/25

CPC classification number: G06T7/0014 ,  G06T7/20 ,  A61B8/5223 ,  G06V10/25 ,  A61B8/0883 ,  G06T2207/30048 ,  G06V2201/031

Abstract: An image processing apparatus for evaluating cardiac images and a ventricular status identification method are provided. In the method, a region of interest (ROI) is determined from multiple target images, a variation in grayscale values of multiple pixels in the ROIs of each target image is determined, and one or more representative images are obtained according to the variation in the grayscale values. The target image is related to the pixels within an endocardial contour of a left ventricle. A boundary of the ROI is approximately located at two sides of a bottom of the endocardial contour. The ROI corresponds to a mitral valve. The variation in the grayscale values is related to a motion of the mitral valve. The representative image is for evaluating a status of the left ventricle.

公开(公告)号：US20240358354A1

公开(公告)日：2024-10-31

申请号：US18688559

申请日：2022-09-02

Applicant: DIAGNOLY

Inventor： Ivan VOZNYUK ,  Edwin QUARELLO

IPC: A61B8/00 ,  G06T7/00 ,  G06V10/25 ,  G06V10/82 ,  G06V20/50

CPC classification number: A61B8/469 ,  G06T7/0012 ,  G06V10/25 ,  G06V10/82 ,  G06V20/50 ,  G06T2207/10132 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06V2201/031

Abstract: A device for guiding a user in ultrasound assessment of an organ to perform a diagnostic or screening evaluation of the organ during a medical examination, the ultrasound assessment being based on ultrasound images, the device including a processor configured to detect and identify the presence of at least one landmark or the absence of landmarks in a current ultrasound image; verify whether the identified landmarks in the current image are present in a landmark database; if at least one of the identified landmarks in the current image are not present in the landmark database: triggering storage of the current ultrasound image and of the at least one identified landmark which was not included the landmarks database; verifying that all required landmarks have been stored in the landmark database and if at least one of the required landmarks is missing, triggering reception at least one additional current ultrasound image.

公开(公告)号：US20240355480A1

公开(公告)日：2024-10-24

申请号：US18587367

申请日：2024-02-26

Applicant: NEUMORA THERAPEUTICS, INC.

Inventor： Yuelu LIU ,  Monika Sharma MELLEM ,  Parvez AHAMMAD ,  Humberto Andres GONZALEZ CABEZAS ,  Matthew KOLLADA

IPC: G16H50/30 ,  A61B5/00 ,  A61B5/055 ,  A61B5/16 ,  G06F18/21 ,  G06F18/214 ,  G06N20/00 ,  G16H10/20 ,  G16H20/70 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70

CPC classification number: G16H50/30 ,  A61B5/0042 ,  A61B5/055 ,  A61B5/16 ,  A61B5/7267 ,  G06F18/2148 ,  G06F18/2178 ,  G06F18/2193 ,  G06N20/00 ,  G16H10/20 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70 ,  A61B2576/026 ,  G06V2201/031 ,  G16H20/70

Abstract: A system for evaluating mental health of patients includes a memory and a control system. The memory contains executable code storing instructions for performing a method. The control system is coupled to the memory and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to perform the method: A selection of answers associated with a patient is received. The selection of answers corresponds to each question in a series of questions from mental health questionnaires. Unprocessed MRI data are received. The unprocessed MRI data correspond to a set of MRI images of a biological structure associated with the patient. The unprocessed MRI data is processed to output a set of MRI features. Using a machine learning model, the selection of answers and the set of MRI features are processed to output a mental health indication of the patient.

公开(公告)号：US20240338421A1

公开(公告)日：2024-10-10

申请号：US18748918

申请日：2024-06-20

Applicant: Intuitive Surgical Operations, Inc.

Inventor： Brian D. Hoffman ,  Geoffrey A. Richmond ,  Siddarth Sen

IPC: G06F18/20 ,  G06F18/21 ,  G06F18/214 ,  G06F18/24 ,  G06N3/04 ,  G06V10/82

CPC classification number: G06F18/285 ,  G06F18/214 ,  G06F18/2163 ,  G06F18/24 ,  G06N3/04 ,  G06V10/82 ,  G06V2201/031

Abstract: An imaging system is provided for pixel-level segmentation of images comprising: a camera to capture images of an anatomical object and to represent the images in two-dimensional (2D) arrangements of pixels; one or more processors and a non-transitory computer readable medium with information including: CNN instructions to cause the one or more processors to implement a CNN configured to associate anatomical object classifications with pixels of the 2D arrangements of pixels; and multiple sets of weights, to differently configure the CNN based upon different camera image training data; and a display screen configured to display the two-dimensional (2D) arrangements of classified pixels and the anatomical object classifications.

公开(公告)号：US20240331872A1

公开(公告)日：2024-10-03

申请号：US18623075

申请日：2024-04-01

Applicant: Qure.ai Technologies Private Limited

Inventor： Charu Arora ,  Preetham Putha ,  Manoj Tadepalli

IPC: G16H50/30 ,  G06V10/25 ,  G06V10/26 ,  G06V10/70 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20

CPC classification number: G16H50/30 ,  G06V10/25 ,  G06V10/26 ,  G06V10/70 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G06V2201/031

Abstract: A system and a method for detection of a heart failure risk is disclosed. The system may comprise a processor and a memory. The system (101) may receive one or more target chest X-ray image of a user. The system (101) may analyze one or more target chest X-ray image to identify and enhance one or more visual parameters of one or more RoI's. The system (101) may perform an anatomical segmentation on the one or more ROI's to detect one or more medical abnormalities from a set of medical abnormalities using the trained artificial intelligence model. The system (101) may calculate a confidence score of the heart failure risk in real time using a set of parameters corresponding to the detected one or more medical abnormalities from the set of medical abnormalities and further detect the heart failure risk for the user based on the confidence score.

公开(公告)号：US20240298959A1

公开(公告)日：2024-09-12

申请号：US18276189

申请日：2021-02-18

Applicant: NEC CORPORATION

Inventor： Takeshi Akagawa

IPC: A61B5/00 ,  A61B5/107 ,  G06T7/00 ,  G06T7/246 ,  G06T7/62 ,  G06T11/00 ,  G06V10/62 ,  G06V20/64 ,  G16H50/30

CPC classification number: A61B5/441 ,  A61B5/0073 ,  A61B5/1079 ,  G06T7/0016 ,  G06T7/248 ,  G06T7/62 ,  G06T11/008 ,  G06V10/62 ,  G06V20/64 ,  G16H50/30 ,  A61B2576/02 ,  G06T2207/10101 ,  G06T2207/30088 ,  G06T2207/30201 ,  G06T2210/41 ,  G06T2211/456 ,  G06V2201/031

Abstract: A bioanalysis system includes: an acquisition unit that obtains a plurality of two-dimensional data with different depths in a skin of a living body; a position identification unit that identifies a position of a pore part in the skin of the living body from at least one of the plurality of two-dimensional data; an extraction unit that extracts a diameter of the pore part from each of the plurality of two-dimensional data; and a type identification unit that identifies a type of the pore part, on the basis of the diameter of the pore part. According to such a bioanalysis system, it is possible to properly identify the position and the type of the pore part in the skin of the living body.

公开(公告)号：US20240266068A1

公开(公告)日：2024-08-08

申请号：US18614605

申请日：2024-03-22

Applicant: Cleerly, Inc.

Inventor： James K. Min ,  James P. Earls ,  Shant Malkasian ,  Hugo Miguel Rodrigues Marques ,  Chung Chan ,  Shai Ronen

IPC: G16H50/30 ,  A61B5/00 ,  A61B5/02 ,  G06T7/00 ,  G06T7/10 ,  G06T7/60 ,  G06V20/50 ,  G16H30/40

CPC classification number: G16H50/30 ,  A61B5/02028 ,  A61B5/4848 ,  G06T7/0016 ,  G06T7/10 ,  G06T7/60 ,  G06V20/50 ,  G16H30/40 ,  G06T2207/10048 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10101 ,  G06T2207/10104 ,  G06T2207/10108 ,  G06T2207/10116 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06V2201/031

Abstract: Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US20240260922A1

公开(公告)日：2024-08-08

申请号：US18593171

申请日：2024-03-01

Applicant: Cleerly, Inc.

Inventor： James K. Min ,  James P. Earls

IPC: A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T7/00 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20

CPC classification number: A61B6/5217 ,  A61B6/032 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5229 ,  G06T7/0012 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06V2201/031

Abstract: Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.