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Analysis

1.WO/2022/205597TOUCH-SCREEN-BASED INTERACTION CONTROL METHOD AND APPARATUS
WO 06.10.2022
Int.Class G16H 40/63
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
40ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
60for the operation of medical equipment or devices
63for local operation
Appl.No PCT/CN2021/096313 Applicant SHENZHEN COMEN MEDICAL INSTRUMENTS CO., LTD Inventor CHEN, Yannan
Disclosed in the present application are a touch-screen-based interaction control method and apparatus. By means of the touch-screen-based interaction control method, a user can set an age type of a patient, a treatment mode for the patient, a gender type of the patient, height information of the patient and weight information of the patient by means of a graphical button area and a text input area of a display interface, such that the aim of the user setting patient type information on the same level of interface is achieved, and therefore the patient type information has an overall presentation effect; and the patient type information does not need to be set in a hierarchical manner, such that the user does not need to learn each patient type information setting mode, thereby reducing the learning cost of the user.
2.WO/2022/208582LEARNING DEVICE, DETERMINATION DEVICE, METHOD FOR GENERATING TRAINED MODEL, AND RECORDING MEDIUM
WO 06.10.2022
Int.Class G16H 10/60
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
10ICT specially adapted for the handling or processing of patient-related medical or healthcare data
60for patient-specific data, e.g. for electronic patient records
Appl.No PCT/JP2021/013209 Applicant NEC CORPORATION Inventor OHNO Yuji
This learning device comprises: an acquisition means for acquiring biological information of a patient and medical chart information of the patient; a selection means for selecting, on the basis of the medical chart information, the biological information of the patient that allows the determination of whether the patient is restless; and a model generation means for generating a restlessness determination model for determining whether a subject patient is restless, by using the selected biological information and on the basis of the biological information of the subject patient.
3.WO/2022/211402ATHEROSCLEROTIC PLAQUE TISSUE ANALYSIS METHOD AND DEVICE USING MULTI-MODAL FUSION IMAGE
WO 06.10.2022
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No PCT/KR2022/004298 Applicant KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY Inventor YOO, Hongki
An operation method for an analysis device operated by means of at least one processor comprises the steps of: receiving a fusion image; and classifying tissue components of the fusion image by using an artificial intelligence model. The fusion image includes first information acquired by imaging a vascular tissue through an optical coherence tomography device, and second information acquired by imaging the vascular tissue through a fluorescence lifetime imaging device. The artificial intelligence model is a model trained to classify the tissue components by using morphological features and fluorescence lifetime image information included in the input image.
4.WO/2022/207516SYSTEMS AND METHODS FOR SELF-SENSING MOBILE MEDICAL DEVICES TO AUTO-CORRECT AN OUTPUT
WO 06.10.2022
Int.Class G16H 40/63
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
40ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
60for the operation of medical equipment or devices
63for local operation
Appl.No PCT/EP2022/058022 Applicant KONINKLIJKE PHILIPS N.V. Inventor PATIL, Ravindra
A medical device (10) includes a medical component (12); at least one environmental sensor (14, 14E); an electronic processor (20); and a non-transitory computer readable medium (26). The non-transitory computer readable medium (26) stores: device operational instructions executable by the electronic processor (20) to control the medical component to perform a medical function respective to a medical subject; an operating specification (30) for the medical device; and device monitoring instructions executable by the electronic processor (20) to: receive a measurement of at least one environmental parameter from the at least one environmental sensor; and output an alert (32) about the performance of the medical function respective to the medical subject if the measurement of the at least one environmental parameter is outside of the operating specification for the medical device.
5.WO/2022/211506METHOD AND DEVICE FOR PROVIDING MEDICAL PREDICTION BY USING ARTIFICIAL INTELLIGENCE MODEL
WO 06.10.2022
Int.Class G16H 50/50
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
50for simulation or modelling of medical disorders
Appl.No PCT/KR2022/004546 Applicant LUNIT INC. Inventor LEE, Hyeonsoo
A prediction device operated by means of at least one processor comprises: a risk factor inference model which is an artificial intelligence model trained to infer risk factors of a disease from an input image, and which receives a medical image and outputs at least one inferred risk factor; and a medical prediction model for receiving patient information that includes the at least one inferred risk factor, and outputting a medical prediction including disease risk.
6.WO/2022/208581LEARNING DEVICE, DETERMINATION DEVICE, METHOD FOR GENERATING TRAINED MODEL, AND RECORDING MEDIUM
WO 06.10.2022
Int.Class G16H 50/50
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
50for simulation or modelling of medical disorders
Appl.No PCT/JP2021/013208 Applicant NEC CORPORATION Inventor OHNO Yuji
A learning device of the present invention is provided with: an acquiring means for acquiring biometric information of a patient who may possibly become restless, and biometric information of a non-patient; and a model generating means for using the biometric information of the patient and the biometric information of the non-patient to generate a restlessness determination model for determining whether, on the basis of the biometric information of a subject patient, the subject patient has become restless or has not become restless.
7.WO/2022/208287PASSIVELY POWERED PACKAGING FOR TISSUE ADJUNCTS
WO 06.10.2022
Int.Class A61B 17/072
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
17Surgical instruments, devices or methods, e.g. tourniquets
03for closing wounds, or holding wounds closed, e.g. surgical staples; Accessories for use therewith
068Surgical staplers
072for applying a row of staples in a single action
Appl.No PCT/IB2022/052806 Applicant CILAG GMBH INTERNATIONAL Inventor SHELTON, IV, Frederick E.
In general, systems and methods described herein include active or passive sensing mechanisms, such as sensors, that can monitor at least one exposure condition of an adjunct and any medicant(s) retained therein. In some instances, the active or passive sensing mechanisms can also track the extent of the adjunct's and medicant(s)'s exposure, e.g., frequency, intensity, and/or duration).
8.WO/2022/207282REMOTE MONITORING SERVER AND METHOD OF OPERATING SAME
WO 06.10.2022
Int.Class G16H 40/67
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
40ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
60for the operation of medical equipment or devices
67for remote operation
Appl.No PCT/EP2022/056423 Applicant BIOTRONIK SE & CO. KG Inventor STOTTS, Larry
The invention is generally directed to a remote monitoring server (RMS, 1) configured to be used in a system comprising at least one medical device (7) and at least one remote device of the group comprising at least one patient remote device (PR, 5) and at least one health care professional (HCP) remote device (CP, 3), wherein the RMS comprises a communication module (22) configured to communicate with the at least one remote device, wherein the RMS comprises a central data repository (21) and at least one processor, wherein the central data repository is configured to store data collected by the at least one medical device and the at least one remote device, wherein the RMS further comprises an artificial intelligence (AI) module (2) integrated within the at least one processor and/or cooperating with the at least one processor, wherein the AI module is configured to process data stored in the central data repository and/or to control data communication using the communication module and/or to provide services of a search engine. Further, the invention is directed to a system comprising the RMS (1), the medical device (7) and the at least one remote device and a method for operating the RMS (1).
9.WO/2022/207417LOAD BALANCING IN EXAM ASSIGNMENTS FOR EXPERT USERS WITHIN A RADIOLOGY OPERATIONS COMMAND CENTER (ROCC) STRUCTURE
WO 06.10.2022
Int.Class G16H 30/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
30ICT specially adapted for the handling or processing of medical images
20for handling medical images, e.g. DICOM, HL7 or PACS
Appl.No PCT/EP2022/057561 Applicant KONINKLIJKE PHILIPS N.V. Inventor STAROBINETS, Olga
A remote assistance method (100) includes: applying a likelihood estimation model (42) to determine likelihoods of needing remote expert assistance for scheduled medical imaging examinations based on information on the scheduled medical imaging examinations; applying a load-balancing optimization model (44) to assign remote experts to the scheduled medical imaging examinations of the examination schedule based on the determined likelihoods of needing remote expert assistance and information on the remote experts; providing a remote assistance interface (28, 28´) via which a local operator (LO) performing a scheduled medical imaging examination can receive remote assistance from a remote expert (RE); and initiating a remote assistance session via the remote assistance interface for the scheduled medical imaging examination being performed, wherein the initiating includes automatically connecting the local operator with the remote expert assigned to the scheduled medical imaging examination being performed.
10.WO/2022/212532SYSTEMS AND METHODS FOR USING ARTIFICIAL INTELLIGENCE TO GENERATE EXERCISE PLANS BASED ON USER ENERGY CONSUMPTION METRICS
WO 06.10.2022
Int.Class G16H 20/30
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
20ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
30relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
Appl.No PCT/US2022/022583 Applicant REHAB2FIT TECHNOLOGIES, INC. Inventor BISSONNETTE, Michael
Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, an exercise plan for a user to perform. The method comprises receiving data pertaining to the user and generating user energy consumption metrics for a plurality of exercises. Each of the user energy consumption metrics is generated for a respective one of the plurality of exercises based at least on a metabolic equivalent of task (MET) value for the respective one of the plurality of exercises and user fitness test results. The method also includes generating the exercise plan based at least on the user energy consumption metrics and a user energy score. The exercise plan includes at least a subset of the plurality of exercises to be performed by the user to attempt to achieve the user energy score. The method further includes transmitting the exercise plan to a computing device.