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Analysis

1.202025102218Ein KI-gesteuertes System zur Erkennung und Vorhersage diabetischer Fußkomplikationen in frühen Stadien
DE 03.07.2025
Int.Class G16H 50/20
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
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
Appl.No 202025102218 Applicant Agarwal Amey Inventor

Ein System zum Erkennen und Vorhersagen diabetischer Fußkomplikationen, bestehend aus: ein Eingabe- und Speichermodul, das zum Erfassen von Fußbildern eines Patienten, zum Erfassen von Daten zur Krankengeschichte des Patienten und zum Erfassen von Bewertungen physiologischer Symptome des Patienten konfiguriert ist, wobei die Daten über eine Benutzerschnittstelle erfasst werden, die dem Benutzer die Interaktion mit dem System ermöglicht, und wobei die erfassten Daten in einer Speichereinheit gespeichert werden; ein zentralisiertes Verarbeitungsmodul, das einen intelligenten Prozessor umfasst, der mit einem Speicher und einer grafischen Verarbeitungseinheit integriert ist, wobei der intelligente Prozessor der zentralisierten Verarbeitungseinheit so konfiguriert ist, dass er die vom Eingabe- und Speichermodul gesammelten Daten vorverarbeitet, die Daten analysiert und auf ihrer Grundlage Vorhersagen trifft, wobei der intelligente Prozessor Folgendes umfasst: ein Vorverarbeitungs-Untermodul, das so konfiguriert ist, dass es die Fußbilder verbessert, normalisiert und segmentiert, Merkmale in den Fußbildern annotiert, bestimmte Fußanomalien mithilfe eines Deep-Learning-Erkennungsmoduls erkennt und die Daten zur Krankengeschichte und die Bewertungen der physiologischen Symptome in ein standardisiertes Format bringt; und ein Analyse- und Vorhersage-Untermodul, das zum Erzeugen eines Scores visueller Merkmale auf Grundlage einer gewichteten Analyse erkannter Fußanomalien, zum Erzeugen eines Scores der Patientengeschichte auf Grundlage einer gewichteten Analyse der medizinischen Anamnesedaten, zum Erzeugen eines Scores physiologischer Symptome auf Grundlage einer gewichteten Analyse der Bewertungen physiologischer Symptome und zum Berechnen eines umfassenden Scores für den diabetischen Fuß durch Integration des Scores visueller Merkmale, des Scores der Patientengeschichte und des Scores physiologischer Symptome konfiguriert ist; ein Ausgabeverarbeitungsmodul, das operativ mit dem zentralisierten Verarbeitungsmodul verbunden ist und ein Visualisierungs- und Empfehlungsuntermodul umfasst, das konfiguriert ist, um: den Patienten auf Grundlage des umfassenden diabetischen Fußscores, der vom Analyse- und Vorhersageuntermodul generiert wird, in eine Risikokategorie einzustufen; personalisierte Empfehlungen auf Grundlage der klassifizierten Risikokategorie zu generieren; und dem Patienten und Gesundheitsdienstleistern über die Benutzerschnittstelle einen ausführlichen Bericht bereitzustellen; eine Kommunikationsschnittstelle, die so konfiguriert ist, dass sie die Datenübertragung zwischen verschiedenen Modulen des Systems erleichtert; und ein Display, das operativ mit der Benutzerschnittstelle verbunden ist und die Schnittstelle zum Erfassen von Eingaben, die Verarbeitungsschnittstelle und die Schnittstelle zum Anzeigen des generierten ausführlichen Berichts anzeigt. embedded image

2.WO/2025/138569SUBJECT ANALYSIS METHOD AND APPARATUS, AND COMPUTER DEVICE AND STORAGE MEDIUM
WO 03.07.2025
Int.Class G16H 50/20
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
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
Appl.No PCT/CN2024/095777 Applicant TSINGHUA UNIVERSITY Inventor WONG, Tien Yin
A subject analysis method and apparatus, and a computer device, a storage medium and a computer program product. The subject analysis method comprises: acquiring a target image sequence, clinical data and an image processing model, wherein the target image sequence is obtained by means of performing image sequence conversion on an image to be subjected to detection, and the image processing model includes a pre-trained feature extractor and a trained classification sub-model; performing feature extraction on the target image sequence by means of the feature extractor, and performing analysis processing on a feature extraction result by means of the classification sub-model, so as to obtain a target analysis result; and on the basis of a large-scale language analysis model, performing subject analysis on the target analysis result and the clinical data, so as to obtain a subject analysis result.
3.WO/2025/139454SCANNING PROCESSING METHOD AND APPARATUS, DEVICE, AND MEDIUM
WO 03.07.2025
Int.Class G16H 30/40
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
40for processing medical images, e.g. editing
Appl.No PCT/CN2024/132450 Applicant SHINING 3D TECH CO., LTD. Inventor XIAO, Qilin
Embodiments of the present disclosure relate to a scanning processing method and apparatus, a device, and a medium. The method comprises: in response to an occlusion relationship addition request, acquiring a target dental arch and an initial occlusion relationship corresponding to the target dental arch; scanning the target dental arch in a target occlusion state to obtain a bite‑registration‑wafer model; and on the basis of the initial occlusion relationship and the bite‑registration‑wafer model, calculating a target occlusion relationship and storing the target occlusion relationship.
4.WO/2025/143654LOW-FREQUENCY WAVE GENERATION APPARATUS USING MUSCLE CHARACTERISTIC INFORMATION
WO 03.07.2025
Int.Class A61N 1/36
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
1Electrotherapy; Circuits therefor
18Applying electric currents by contact electrodes
32alternating or intermittent currents
36for stimulation, e.g. heart pace-makers
Appl.No PCT/KR2024/020368 Applicant DONGGUK UNIVERSITY WISE CAMPUS INDUSTRY-ACADEMY COOPERATION FOUNDATION Inventor PARK, Sung Yun
The present invention relates to a low-frequency wave generation apparatus using muscle characteristic information. According to the present invention, the low-frequency wave generation apparatus includes: an input unit for receiving at least one piece of personal information among gender, age, body, and clinical information about a user and a part attached to a measurement module; a communication unit for receiving muscle characteristic information about a part measured by the measurement module attached to a part of the user’s body; a training unit for training a low-frequency wave information model to derive low-frequency wave feature information using the plurality of pieces of personal information, the part attached to the measurement module, and the muscle characteristic information; a low-frequency wave generation unit for generating low-frequency waves by applying the personal information about the user, the attached part, and the muscle characteristic information about the measured part to the pre-trained low-frequency wave information model; and an irradiation unit for irradiating a part of the body of the user with the generated low-frequency waves.
5.WO/2025/141149CARDIAC SIGNAL PROCESSING DEVICE
WO 03.07.2025
Int.Class A61B 5/353
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes ; Identification of persons
24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
316Modalities, i.e. specific diagnostic methods
318Heart-related electrical modalities, e.g. electrocardiography
346Analysis of electrocardiograms
349Detecting specific parameters of the electrocardiograph cycle
353Detecting P-waves
Appl.No PCT/EP2024/088551 Applicant SUBSTRATE HD Inventor DEMARCY, Thomas
A device for processing cardiac signals, comprises: - a data storage (114) arranged to receive input data sets each comprising a plurality of P wave segments each associated with an electrocardiogram track and with an acquisition time window, and a plurality of coronary sinus signals associated with the same acquisition time window and having one or more activation sequence(s), - a random convolutional kernel-based extractor arranged, for a given input data set, to determine an electrocardiogram feature vector, and - a machine-learning based locator using decision trees trained on data comprising sets of electrocardiogram feature vectors labelled with a value indicating a cardiac region identifier, and arranged to receive an electrocardiogram feature vector from the random convolutional kernel-based extractor as input, and to return a cardiac region identifier as output.
6.WO/2025/141963ACTION ACQUISITION DEVICE, ACTION ACQUISITION METHOD, AND RECORDING MEDIUM
WO 03.07.2025
Int.Class G16H 50/30
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
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
30for calculating health indices; for individual health risk assessment
Appl.No PCT/JP2024/030875 Applicant EXEVITA, INC. Inventor TADA Hiroshi
[Problem] With the prior art, it is not possible to estimate an action of a user by using, e.g., position information associated with time. [Solution] An action acquisition device 3 includes: a time acquisition unit 331 for acquiring a time; a position acquisition unit 332 for acquiring position information associated with the time; an action estimation unit 335 for using two or more pieces of action source information each including the position information associated with the time to acquire action information specifying an action of a user in a time slot defined by the time of each of the two or more pieces of action source information; and an action output unit 341 for outputting the action information in the time slot. With the action acquisition device 3, it is possible to estimate an action of a user by using position information or the like associated with a time.
7.WO/2025/143280METHOD AND SYSTEM FOR PREDICTING ABDOMINAL SURGERY-RELATED INFORMATION FROM MEDICAL IMAGE DATA
WO 03.07.2025
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/KR2023/021624 Applicant SEOUL NATIONAL UNIVERSITY HOSPITAL Inventor KIM, Hee Seung
The present invention relates to a method for training a model for predicting abdominal surgery information, which is performed by a computing device, the method comprising a step of training an artificial neural network model by using medical image data and masking data labeled with the degree of adhesion between the peritoneum and organs such that, when a medical image is input, the model outputs abdominal surgery-related information of the input medical image.
8.WO/2025/144165FOOT EVERTOR AND INVERTER MUSCLE STRENGTHENING EXERCISE DEVICE
WO 03.07.2025
Int.Class A61H 1/02
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
HPHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
1Apparatus for passive exercising; Vibrating apparatus; Chiropractic devices, e.g. body impacting devices, external devices for briefly extending or aligning unbroken bones
02Stretching or bending apparatus for exercising
Appl.No PCT/TR2024/050223 Applicant OZYALVAC, Osman Nuri Inventor OZYALVAC, Osman Nuri
A device used for developing the muscle groups that enable eversion and inversion foot movements in all age groups, especially in young children, characterized in that, including, - An electronic card (100) that reads the movement performed on the resistance arm (110) and converts it into data, ensuring its transmission to a computer program interface (300) running on a smartphone and/or any device via Bluetooth or any network module, - A resistance arm (110) that creates resistance against the direction of movement performed by the foot (C) in eversions and inversions along a defined route (304) of the user-controlled virtual object (303), thus facilitating muscle strengthening, and transmits this movement to an angle sensor (170), - An angle sensor (170) that detects the count and level of movement made by the resistance arm (110), - A spring (180) that returns the mentioned resistance arm (110) to its original position when the user/patient moves it with the foot (C) in inversion (IN) or eversion (EV).
9.WO/2025/145035METHODS AND SYSTEMS FOR DETERMINING OPERATIONAL STATES
WO 03.07.2025
Int.Class G06T 7/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
Appl.No PCT/US2024/062095 Applicant ENABLE INJECTIONS, INC. Inventor HUDDLESTON, Matthew J.
Provided herein are methods and systems for monitoring a medication delivery process such as a process for delivering a drug, a therapeutic, or medication. Provided herein are also methods and systems for determining operational states of a medication delivery device.
10.WO/2025/139299TUMOR TREATMENT FIELD SYSTEM, ELECTRODE PLATE, TUMOR TREATMENT APPARATUS, AND METHOD
WO 03.07.2025
Int.Class A61N 1/36
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
1Electrotherapy; Circuits therefor
18Applying electric currents by contact electrodes
32alternating or intermittent currents
36for stimulation, e.g. heart pace-makers
Appl.No PCT/CN2024/127271 Applicant JIANGSU HEALTHY LIFE INNOVATION MEDICAL TECHNOLOGY CO., LTD. Inventor YING, Jianjun
Provided are a tumor treatment field system, an electrode plate, a tumor treatment apparatus, and a method. The system comprises at least one pair of electrode plates, wherein each of the electrode plate comprises a plurality of electrode units and a plurality of temperature detection units, the plurality of electrode units are divided into a plurality of row groups and a plurality of column groups, grounding terminals of the temperature detection units in each of the row groups are jointly connected to a grounding pin via one control switch, and signal terminals of the temperature detection units in each of the column groups are jointly connected to a switching unit via a single dual-purpose signal cable after being short-circuited to the corresponding electrode units. When the dual-purpose signal cable is connected to a temperature sampling point, an analog temperature signal detected by the corresponding temperature detection unit in each of the row groups is sampled on the basis of the temperature sampling point by configuring the switching state of the control switch; when the dual-purpose signal cable is connected to an alternating power cable, an alternating electric signal is applied to the electrode unit of at least one column group on the basis of the alternating power cable. In this way, the plurality of electrode units can be controlled in a partitioned manner using fewer conductive traces.