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公开(公告)号:US20240008783A1
公开(公告)日:2024-01-11
申请号:US18036181
申请日:2021-11-10
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Krishnamoorthy Palanisamy , Rithesh Sreenivasan , Rajendra Singh Sisodia , Sarif Kumar Naik , Gereon Vogtmeier , Mark Thomas Johnson , Steffen Weiss , Nagaraju Bussa , Christopher Günther Leussler
CPC classification number: A61B5/165 , A61B5/4803 , G16H10/20 , G06V40/174 , G10L25/63
Abstract: The present invention relates to a system (100) for sensor signals dependent dialog generation during a medical imaging process, the system (100) comprising a sensor module (10), configured to measure condition data of a patient; a processor module (20), configured to analyze the condition data of the patient to determine biometric and physical condition data of the patient; a dialog data generation module (30), configured to generate questionnaires data for obtaining real-time feedback from the patient during the medical imaging process, wherein the questionnaires data is based on a parameter of the medical imaging process and on the determined biometric and physical condition data of the patient.
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公开(公告)号:US12165308B2
公开(公告)日:2024-12-10
申请号:US17047102
申请日:2019-04-12
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Ravindra Balasaheb Patil , Rithesh Sreenivasan , Krishnamoorthy Palanisamy , Nagaraju Bussa
IPC: G06T7/00 , A61B1/00 , A61B5/055 , A61B6/00 , A61B6/03 , A61B8/08 , G06F18/2431 , G06N3/08 , G16H30/20 , G16H30/40 , G16H40/20 , G16H40/67 , G16H50/20
Abstract: A medical imaging system (100, 300, 400, 700) includes a processor and memory with instructions executable by the processor to receive (200) three-dimensional medical image data (122) comprising multiple slices, receive (202) an imaging modality (124) of the three-dimensional medical image data, receive (204) an anatomical view classification (126) of the three-dimensional medical image data, select (206) a chosen abnormality detection module (130) from a set of abnormality detection modules (128) using the imaging modality and the anatomical view classification, wherein at least a portion of the abnormality detection modules is a convolution neural network trained for identifying if the at least a portion of the multiple slices as either normal or abnormal, classify (208) the at least a portion of the multiple slices as normal or abnormal using the abnormality detection module, and choose (210) a set of selected slices (136) from the multiple slices according to a predetermined selection criteria (134) if a predetermined number of the multiple slices are classified as abnormal.
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公开(公告)号:US11616740B2
公开(公告)日:2023-03-28
申请号:US17276383
申请日:2019-09-10
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Rithesh Sreenivasan , Zoran Stankovic
Abstract: A chatbot may be invoked in an online communication session between two or more human users to share additional content in the communication session. To determine when to invoke the chatbot, e.g., at which point during their conversation, an interaction model may be trained on past conversation data between participants to determine so-termed interaction points in the past conversation data which are predictive of a subsequent sharing of additional content by one of the participants. Having generated the interaction model, the interaction model may be applied to an online communication session to detect such interaction points in a real-time or near real-time conversation between users and to invoke the chatbot to participate in the communication session in response to a detection.
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公开(公告)号:US11419559B2
公开(公告)日:2022-08-23
申请号:US16770331
申请日:2018-12-03
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Vikram Basawaraj Patil Okaly , Ravindra Balasaheb Patil , Rithesh Sreenivasan , Krishnamoorthy Palanisamy
IPC: A61B5/00 , G16H50/30 , A61B5/024 , A61B5/11 , A61B5/349 , G16H40/67 , A61B5/0205 , A61B5/01 , A61B5/08
Abstract: A device, system, and method is provided for detecting pain in a cardiac-related region of the body and determining whether that pain is cardiac or non-cardiac. The device, system, and method may include calculating or determining a first feature based on a variation in activity level and a variation in the detected heartrate measurement and a second feature based on a variation in the detected ECG features and a first feature and then subjecting at least the first feature and the second feature to a cardiac pain classifier to determine a cardiac classification.
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公开(公告)号:US10339824B2
公开(公告)日:2019-07-02
申请号:US15357079
申请日:2016-11-21
Applicant: KONINKLIJKE PHILIPS N.V.
IPC: G09B7/00 , G16H10/20 , G06K9/00 , G09B5/02 , G09B7/04 , G09B7/08 , G11B27/031 , G06F19/00 , G06F16/70
Abstract: This disclosure describes a system that delivers content (e.g. multimedia video), and analyzes and aggregates feedback of a user viewing the content. The user may interact with the multimedia video in the form of answering questions which are dynamically placed between video segments. The system may determine the response type of the user for a given question. The system may handle both positive and negative responses (e.g. correct and incorrect responses to questions). The system may help the user navigate the segments of the video.
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公开(公告)号:US20250036271A1
公开(公告)日:2025-01-30
申请号:US18776317
申请日:2024-07-18
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Johannes Henricus Maria Korst , Serverius Petrus Paulus Pronk , Rithesh Sreenivasan , Jurgen Jan Rusch , Mauro Barbieri
IPC: G06F3/04845 , G06F3/04847 , G16H40/20
Abstract: An alert monitoring method includes receiving alerts generated by one or more medical systems, each alert being timestamped and associated to the medical system that generated the alert; segmenting a displayed time span into discrete time units whose size depends on the displayed time span; generating a timeline representing the alerts over the displayed time span, the timeline comprising a two-dimensional grid of blocks with each block having a corresponding discrete time unit and a corresponding alert source for the one or more medical systems, and each block being color coded based on a fraction of the corresponding discrete time unit over which the corresponding alert is critical; displaying, on a display device, the timeline representing the alerts over the displayed time span; and in response to receiving a user input adjusting the displayed time span, displaying an updated timeline representing the alerts over the updated displayed time span.
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公开(公告)号:US20240023901A1
公开(公告)日:2024-01-25
申请号:US18032216
申请日:2021-10-20
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Rithesh Sreenivasan , Krishnamoorthy Palanisamy , Sudipta Chaudhury , Jaap Knoester , Gereon Vogtmeier , Steffen Weiss
Abstract: There is a need for techniques to avoid or reduce motion artifacts in medical images. According to the invention, there is provided control circuitry for a medical imaging system. The control circuitry is configured to control the medical imaging system to provide synchronized display and nudging to provide a patient with information on the progress of a scan. In this way, patient anxiety may be reduced by providing the patient with a sense of time during the scan, leading to a reduction in motion artifacts.
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公开(公告)号:US11836997B2
公开(公告)日:2023-12-05
申请号:US17053153
申请日:2019-05-07
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Christine Menking Swisher , Sheikh Sadid Al Hasan , Jonathan Rubin , Cristhian Mauricio Potes Blandon , Yuan Ling , Oladimeji Feyisetan Farri , Rithesh Sreenivasan
IPC: G06T7/00 , G06V20/64 , G06T7/11 , G16H50/20 , G16H30/40 , G06F40/10 , G06N3/08 , G06N3/044 , G06N3/045 , G06V10/82 , G06V10/44
CPC classification number: G06V20/64 , G06F40/10 , G06N3/044 , G06N3/045 , G06N3/08 , G06T7/0012 , G06T7/11 , G06V10/454 , G06V10/82 , G16H30/40 , G16H50/20 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004
Abstract: A method (100) for generating a textual description of a medical image, comprising: receiving (130) a medical image of an anatomical region, the image comprising one or more abnormalities; segmenting (140) the anatomical region in the received medical image from a remainder of the image; identifying (150) at least one of the one or more abnormalities in the segmented anatomical region; extracting (160) one or more features from the identified abnormality; generating (170), using the extracted features and a trained text generation model, a textual description of the identified abnormality; and reporting (180), via a user interface of the system, the generated textual description of the identified abnormality.
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公开(公告)号:US11056227B2
公开(公告)日:2021-07-06
申请号:US15987164
申请日:2018-05-23
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Rithesh Sreenivasan , Shreya Anand , Tilak Raj Arora , Oladimeji Feyisetan Farri , Sheikh Sadid Al Hasan , Yuan Ling , Junyi Liu
Abstract: A method for generating a textual description from a medical image, comprising: receiving a medical image having a first modality to a system configured to generate a textual description of the medical image; determining, using an imaging modality classification module, that the first modality is a specific one of a plurality of different modalities; determining, using an anatomy classification module, that the medical image comprises information about a specific portion of an anatomy; identifying, by an orchestrator module based at least on the determined first modality, which of a plurality of different text generation models to utilize to generate a textual description from the medical image; generating, by a text generation module utilizing the identified text generation model, a textual description from the medical image; and reporting, via a user interface of the system, the generated textual description.
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公开(公告)号:US10884718B2
公开(公告)日:2021-01-05
申请号:US15779916
申请日:2016-11-30
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: Anand Srinivasan Natesan , Rithesh Sreenivasan , Rajendra Singh Sisodia , Karthik Srinivasan , Debasish Chatterjee
Abstract: The present invention relates to a device (10) for use in improving a user interaction with a user interface application. It is described to provide (210) data for a user, the data comprising interaction data of the user with a plurality of interaction fields of a first version of a user interface application. The interaction data is clustered (220) into a plurality of groups. The interaction data is analysed (230) to determine the contribution a specific user interaction field of the plurality of interaction fields makes to a specific group of the plurality of groups. The specific user interaction field is modified (240) on the basis of the determined contribution the specific user interaction field makes. A second version of the user interface application is displayed (250) comprising the modified specific user interaction field.
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