公开(公告)号：US11861887B2

公开(公告)日：2024-01-02

申请号：US17468633

申请日：2021-09-07

Applicant: BFLY Operations, Inc.

Inventor： Matthew de Jonge ,  Robert Schneider ,  David Elgena ,  Alex Rothberg ,  Jonathan M. Rothberg ,  Michal Sofka ,  Tomer Gafner ,  Karl Thiele ,  Abraham Neben

IPC: G06V10/82 ,  A61B8/08 ,  G06V10/44 ,  G06V40/60 ,  G06F18/2413 ,  G06V30/19 ,  G06V30/194 ,  A61B8/06 ,  A61B8/00 ,  G06T7/70 ,  G06T19/00 ,  A61B8/02 ,  G06T7/00 ,  G06T11/60 ,  A61B90/00 ,  A61B34/20

CPC classification number: G06V10/82 ,  A61B8/02 ,  A61B8/06 ,  A61B8/065 ,  A61B8/085 ,  A61B8/4427 ,  A61B8/46 ,  A61B8/52 ,  A61B8/5207 ,  A61B8/5223 ,  G06F18/24133 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/70 ,  G06T11/60 ,  G06T19/006 ,  G06V10/454 ,  G06V30/194 ,  G06V30/19173 ,  G06V40/67 ,  A61B8/0833 ,  A61B8/0883 ,  A61B8/4263 ,  A61B8/463 ,  A61B8/5215 ,  A61B2034/2065 ,  A61B2090/365 ,  A61B2090/378 ,  A61B2090/3937 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2207/30048 ,  G06T2207/30061 ,  G06T2210/41 ,  G06V2201/03

Abstract: Aspects of the technology described herein relate to techniques for guiding an operator to use an ultrasound device. Thereby, operators with little or no experience operating ultrasound devices may capture medically relevant ultrasound images and/or interpret the contents of the obtained ultrasound images. For example, some of the techniques disclosed herein may be used to identify a particular anatomical view of a subject to image with an ultrasound device, guide an operator of the ultrasound device to capture an ultrasound image of the subject that contains the particular anatomical view, and/or analyze the captured ultrasound image to identify medical information about the subject.

公开(公告)号：US20230419728A1

公开(公告)日：2023-12-28

申请号：US18341756

申请日：2023-06-26

Applicant: EMED LABS, LLC

Inventor： Sam Miller Miller ,  Brian Schwab ,  Zachary Carl Nienstedt

IPC: G06V40/20 ,  G06V10/74 ,  G06V10/764 ,  G16H50/20

CPC classification number: G06V40/20 ,  G06V10/761 ,  G06V10/764 ,  G16H50/20 ,  G06V2201/03

Abstract: Systems and methods of using audio and stacked computer vision algorithms in user environment and user behavior detection are disclosed herein. In some embodiments, a ground truth stress test may be used to ensure a high quality and accuracy of a video feed captured of a user performing a diagnostic test. A set of stacked computer vision algorithms may be applied to the video feed in order to extract from the video feed a user behavior exhibited while the user performed the diagnostic test, evaluate a plurality of markers associated with the exhibited user behavior, and generate a marker profile for the behavior. The marker profile can be compared against a database to classify the behavior as a type of anomalous behavior. In some embodiments, pre-recorded audio utterances can also be selected and played to the user performing the diagnostic test for guidance purposes.

公开(公告)号：US20230419641A1

公开(公告)日：2023-12-28

申请号：US18243263

申请日：2023-09-07

Applicant: Gauss Surgical Inc.

Inventor： Siddarth Satish ,  Kevin J. Miller ,  Andrew T. Hosford

IPC: G06V10/764 ,  G06T7/62 ,  A61B5/00 ,  A61B5/103 ,  A61B5/145 ,  A61B5/1455 ,  G06V10/56 ,  G06F18/24 ,  A61B5/02 ,  G06T7/00

CPC classification number: G06V10/764 ,  G06T7/62 ,  A61B5/0082 ,  A61B5/1032 ,  A61B5/0035 ,  A61B5/14546 ,  A61B5/14551 ,  G06V10/56 ,  G06F18/24 ,  A61B5/02042 ,  G06T7/0012 ,  A61B2505/05 ,  A61B2576/02 ,  G06T2207/30004 ,  G06V2201/03 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/10048 ,  G06T2207/30104 ,  G06T2207/30242

Abstract: A method for analyzing a surgical textile. A depth image and a color image of the surgical textile is acquired. One or more processors analyze a depth map of the depth image to apply one or more image classifiers. Blood information is extracted from pixels of the color image if the depth image satisfies the classifier(s). The classifier(s) may be a perimeter classifier, a planarity classifier, a normality classifier, a distance classifier, and/or a color classifier, among others. The distance classifier may include transforming pixel dimensions of a selected surface in the depth image into real dimensions based on distance values of the pixels. A graphical representation may be displayed to indicate the need to move the surgical textile closer or farther to satisfy the distance classifier. A prompt may be displayed to manipulate the surgical textile prior to the steps of acquiring the depth image and the color image.

公开(公告)号：US11854702B2

公开(公告)日：2023-12-26

申请号：US18183849

申请日：2023-03-14

Applicant: PREH HOLDING, LLC

Inventor： Thomas Nichols

IPC: A61M1/00 ,  A61F13/00 ,  A61M35/00 ,  G16H50/30 ,  G16H50/20 ,  G16H40/63 ,  G16H70/60 ,  G16H20/00 ,  G06V10/774 ,  G06V10/764 ,  A61B5/00 ,  G06T7/00 ,  H04N7/18 ,  A61N5/06 ,  A61N7/00

CPC classification number: G16H50/30 ,  A61B5/0013 ,  A61B5/0077 ,  A61B5/445 ,  A61B5/4836 ,  A61B5/4842 ,  A61B5/6833 ,  A61B5/7267 ,  A61F13/00068 ,  A61M1/90 ,  A61M1/915 ,  G06T7/0014 ,  G06V10/764 ,  G06V10/774 ,  G16H20/00 ,  G16H40/63 ,  G16H50/20 ,  G16H70/60 ,  H04N7/183 ,  A61B2562/06 ,  A61B2576/00 ,  A61F2013/00536 ,  A61M35/00 ,  A61M2205/3306 ,  A61N5/06 ,  A61N2007/0017 ,  G06T2207/20081 ,  G06T2207/30088 ,  G06V2201/03

Abstract: A wearable treatment and analysis module is provided. The module is positioned on or near a body surface region of interest. The module provides remote access to sensor data, treatment administration, and/or other health care regimens via a network connection with a user device and/or management system.

公开(公告)号：US20230410491A1

公开(公告)日：2023-12-21

申请号：US18035993

申请日：2021-11-12

Applicant: Intuitive Surgical Operations, Inc.

Inventor： Omid Mohareri ,  Adam T. Schmidt ,  Aidean Sharghi Karganroodi

IPC: G06V10/80 ,  G06V10/82

CPC classification number: G06V10/809 ,  G06V10/82 ,  G06V2201/03

Abstract: Multi-view medical activity recognition systems and methods are described herein. In certain illustrative examples, a system accesses a plurality of data streams representing imagery of a scene of a medical session captured by a plurality of sensors from a plurality of viewpoints. The system temporally aligns the plurality of data streams and determines, using a viewpoint agnostic machine learning model and based on the plurality of data streams, an activity within the scene.

公开(公告)号：US20230401822A1

公开(公告)日：2023-12-14

申请号：US18332625

申请日：2023-06-09

Applicant: Remedy Logic Inc.

Inventor： Evelina Gudauskayte ,  Vladislav Tumko ,  Andrej Rusakov

IPC: G06V10/764 ,  G16H30/20 ,  G16H30/40 ,  G06V20/70 ,  G06V10/762

CPC classification number: G06V10/764 ,  G16H30/20 ,  G16H30/40 ,  G06V20/70 ,  G06V10/762 ,  G06V2201/10 ,  G06V2201/03

Abstract: Systems and methods for performing image classification are disclosed. The methods include receiving a plurality of magnetic resonance imaging (MM) images that each include metadata. The plurality of images are sorted into one or more groups using the metadata. The methods further include, for each of the one or more groups: identifying a subset of images, generating for a classification label for each image in the subset of images using a classifier, identifying a first classification label that is associated with a maximum number of images in the subset of images, and assigning the first classification label to each image in that group.

公开(公告)号：US20230401804A1

公开(公告)日：2023-12-14

申请号：US18034966

申请日：2021-11-03

Applicant: MEDIT CORP.

Inventor： Dong Hoon LEE

IPC: G06T19/20 ,  G06V40/16 ,  G06V10/94 ,  G06V10/82 ,  A61C9/00 ,  A61C13/34 ,  G16H30/40

CPC classification number: G06T19/20 ,  G06V40/171 ,  G06V10/945 ,  G06V10/82 ,  A61C9/0053 ,  A61C13/34 ,  G16H30/40 ,  G06T2210/41 ,  G06V2201/03 ,  G06T2200/24 ,  G06T2219/2024 ,  G06T2219/2004

Abstract: Provided is an oral image processing method including obtaining, as a first image, a face image of an object showing a teeth area, obtaining a second image by replacing the teeth area included in the first image with a virtual teeth area, and obtaining, from the second image, a third image including a face having a different attribute from a face included in the second image, by using a neural network trained to generate, from an input face image, a face image having a different attribute from the input face image.

公开(公告)号：US20230386646A1

公开(公告)日：2023-11-30

申请号：US18320841

申请日：2023-05-19

Applicant: Verily Life Sciences LLC

Inventor： Ajay Tanwani

IPC: G16H30/40 ,  G06F40/40 ,  G06V10/774 ,  G06V10/80

CPC classification number: G16H30/40 ,  G06F40/40 ,  G06V2201/03 ,  G06V10/806 ,  G06V10/774

Abstract: A method of generating a medical report is presented herein. In some embodiments, the method includes receiving a medical image and at least one natural language medical question, extracting at least one image feature from the image; extracting at least one text feature from the question; and fusing the at least one image feature with the at least one text feature to form a combined feature. Some embodiments further include encoding, by an encoder, the combined feature to form a transformed combined feature; computing a set of prior context features based on a similarity between the transformed combined feature and each of a set of transformed text features derived from a set of training natural language answers; and generating, by a decoder, a first natural language answer conditioned on the transformed combined feature and the set of prior context features.

公开(公告)号：US20230386184A1

公开(公告)日：2023-11-30

申请号：US18298524

申请日：2023-04-11

Applicant: Subtle Medical, Inc.

Inventor： Ben Andrew Duffy ,  Gajanana Keshava Datta ,  Enhao Gong

IPC: G06V10/774 ,  G06V10/82 ,  G06T7/00

CPC classification number: G06V10/7753 ,  G06V10/82 ,  G06T7/0012 ,  G06V2201/03 ,  G06T2207/10072

Abstract: Provided herein are methods for automated image quality control (QC). The method comprises: generating training data based at least in part on metadata obtained from a data augmentation process; training a model for a QC task based at least in part on the training data. The model is trained using a self-supervised learning algorithm.

公开(公告)号：US20230386032A1

公开(公告)日：2023-11-30

申请号：US17752506

申请日：2022-05-24

Applicant: International Business Machines Corporation

Inventor： Wen Wei ,  Giovanni John Jacques Palma ,  Amin Katouzian

IPC: G06T7/00 ,  G06V10/44 ,  G06V10/82 ,  G06T9/00 ,  G06V10/764 ,  G06V10/774 ,  G06T7/11

CPC classification number: G06T7/0014 ,  G06V10/44 ,  G06V10/82 ,  G06T9/002 ,  G06V10/764 ,  G06V10/774 ,  G06T7/11 ,  G06T2207/30096 ,  G06T2207/20084 ,  G06V2201/03 ,  G06T2207/20081 ,  G06T2207/10088

Abstract: Mechanisms are provided for detecting lesions in diffusion weighted imaging (DWI) images. The mechanisms receive a first set of DWI images corresponding to a anatomical structure, from medical imaging computer system(s). The first set of DWI images comprises a plurality of DWI images having at least two different b-values. The mechanisms generate a second set of DWI images from the first set of DWI images based on at least one predetermined criterion. The second set of DWI images comprises different DWI images having different b-values. The mechanisms extract feature data from the second set of DWI images, input the feature data into at least one computer neural network, and generate an output from the neural network(s) comprising at least one of a lesion classification or a lesion mask based on results of processing, by the neural network(s), of the feature data extracted from the second set of DWI images.