108 results about "Paramedicine" patented technology

The invention relates to the technical field of auxiliary medical treatment, and discloses a clinical test matching method, device and equipment, a medium and a product. The medical record information is input into a preset general condition matching model for traversal, the general condition matching model comprises a first preset number of general judgment conditions, and judgment tags in one-to-one correspondence with the general judgment conditions are generated; according to the discrimination label, preliminarily screening test schemes conforming to the patient, and determining a preliminary test scheme; and inputting the medical record information and the preliminary test scheme into a preset specific condition matching model for secondary screening to obtain an ultimate test scheme after secondary screening. According to the method, the accuracy of test scheme matching can be effectively improved, errors are not prone to occurring, and the recruitment efficiency of clinical test subjects can be effectively improved.

A computer-assisted medical system includes a user device wearable by an operator. The user device includes a display device configured to present imagery overlaid in an environment of a manipulator assembly, and a sensor configured to detect one or more landmarks in the environment. The medical system includes a controller configured to execute instructions to perform operations The operations include receiving, from the sensor, position or orientation information for the one or more landmarks in the environment, and directing a manual movement of a portion of the manipulator assembly by causing the display device to present the imagery overlaid in the environment based on the received position or orientation information.

The invention discloses an auxiliary medical diagnosis method based on a kernel fuzzy rough set, and belongs to the technical field of medical data analysis, and the method comprises the following steps: S1, carrying out the standardization processing of medical data, and obtaining the data after the standardization processing; s2, calculating a kernel fuzzy relation matrix by using a Gaussian kernel function according to the normalized data; s3, selecting an attribute subset according to the kernel fuzzy relation matrix, and constructing a multi-granularity fuzzy information particle set; s4, calculating fuzzy approximation precision according to the multi-granularity fuzzy information particle set; s5, calculating the particle anomaly degree of the fuzzy information according to the fuzzy approximation precision; s6, calculating anomaly scores of all samples according to the fuzzy information particle anomaly degree; s7, judging whether the abnormal scores of the samples are greater than a threshold value one by one, if so, outputting medical data abnormal points, and assisting a doctor in diagnosis; otherwise, the data are regarded as normal data until all samples are judged. According to the method, the problems of extraction and fusion of multi-granularity data features of existing medical data anomaly detection are solved, nonlinear medical data with fuzzy uncertainty can be effectively processed, and therefore doctors can be assisted in finding the condition of a patient more quickly and more accurately.

The invention relates to the technical field of medical care, in particular to a tumor prognosis prediction method based on tumor database text recognition, which comprises the following steps: S1, data collection and preprocessing: collecting medical data related to tumors from a plurality of tumor databases; s2, text information extraction: performing information extraction on clinical text data; s3, predicting a tumor metastasis path: predicting the metastasis path by utilizing the graph neural network model, predicting a potential metastasis path of the tumor, and analyzing the influence of different metastasis paths on the prognosis of the patient; s4, prognosis evaluation and risk prediction: predicting the tumor prognosis risk in combination with the medical data of the patient, and comprehensively evaluating the five-year survival rate and the recurrence risk of the patient. According to the method, the medical institution can be assisted in optimizing resource allocation, a scientific personalized diagnosis and treatment scheme is formulated, and the life quality and the treatment effect of the patient are remarkably improved.

A computer-assisted medical system includes a user device wearable by an operator. The user device includes a display device configured to present imagery overlaid in an environment of a manipulator assembly, and a sensor configured to detect one or more landmarks in the environment. The medical system includes a controller configured to execute instructions to perform operations The operations include receiving, from the sensor, position or orientation information for the one or more landmarks in the environment, and directing a manual movement of a portion of the manipulator assembly by causing the display device to present the imagery overlaid in the environment based on the received position or orientation information.

The invention relates to the technical field of stomach tube interaction, and discloses an intelligent multi-mode man-machine interaction stomach tube system, which comprises a stomach state threshold evaluation module, a stomach state monitoring module, a stomach interaction module and a stomach tube verification module, and is characterized in that the stomach state threshold evaluation module comprises a patient correlation evaluation unit and a patient risk threshold evaluation unit; the stomach state monitoring module comprises a stomach comprehensive risk analysis unit and a first risk assessment unit, and the stomach interaction module comprises a fluctuation risk assessment unit and a second risk assessment unit. According to the system, historical patient data and current patient information are integrated, high-risk samples are screened through correlation coefficient calculation, a personalized risk threshold value is constructed, evaluation objectivity is improved, multi-dimensional stomach parameters are collected, the risk coefficient is synthesized to comprehensively reflect the stomach state, and the risk coefficient is used for evaluating the state of the stomach. The multi-modal data is converted into a visual stomach risk fluctuation coefficient and is dynamically displayed to assist medical personnel in quickly making decisions, so that the stomach condition of the patient is accurately monitored.

The invention relates to the technical field of industrial instrument knowledge bases, in particular to an industrial instrument knowledge base construction method. The method comprises the following steps: analyzing target audience information by obtaining medical instrument log data, and calculating a medical instrument use demand, thereby obtaining knowledge base information demand data; obtaining medical instrument product information by using the demand data, and performing function division, evaluation, diagnosis and assistance of the performance of the medical instrument; constructing a medical instrument knowledge graph according to the product and performance data, classifying medical instruments of the same kind, performing clinical effectiveness comparison, and identifying high-performance instruments; a database is used for storing a knowledge graph, and a knowledge base is optimized and retrieved, so that the understanding and safety of the medical apparatus and instruments are improved; according to the method, the industrial instrument knowledge base is constructed, so that the industrial instrument knowledge base can retrieve instrument knowledge more conveniently and quickly.

The invention discloses an abdominal trauma accurate prediction method and system based on digital twinning, and relates to the field of auxiliary medical treatment. Extracting medical structured data of a to-be-predicted patient from the wound treatment information, and screening whether abnormal data exist or not by using the medical data screening model; if the abnormal data, the reference coherent light with different wavelengths and the reference coherent light with different wavelengths in different polarization states exist, the reference coherent light simultaneously enters the abdomen of the patient to be predicted, and reflection images of the abdomen of the patient to be predicted are collected within preset time to serve as abdomen image information of the patient to be predicted; performing multi-modal fusion analysis on the medical structural data and the abdominal image information, and constructing a digital twin abdominal trauma prediction model based on a fusion analysis result; and monitoring and analyzing the digital twin abdominal trauma prediction model in real time to generate a trauma prediction report. According to the method, information related to the abdominal trauma is more comprehensively and deeply mined, and a more accurate abdominal trauma prediction model is constructed.

The invention belongs to the technical field of digital medical treatment, provides a doctor-seeing auxiliary processing method and device based on an intelligent robot and related equipment, and aims to solve the problem that which department of a hospital to which a patient should go cannot be efficiently and automatically determined online in the prior art. In response to a doctor-seeing assistance request corresponding to registration of the patient, acquiring disease information data of the patient, judging whether the disease information data is multi-modal data, and when the disease information data is the multi-modal data, acquiring a doctor-seeing assistance medical knowledge map according to the disease information data based on a preset multi-modal deep learning model and the preset doctor-seeing assistance medical knowledge map. According to the method, the registration suggestions corresponding to the doctor-seeing auxiliary requests are determined according to the doctor-seeing auxiliary requests, and then the registration suggestions are fed back to the patients, so that the doctor-seeing auxiliary suggestions can be provided by efficiently, accurately and automatically determining which department of the hospital the patient should go to seeing a doctor online, and the registration processing efficiency and accuracy under the condition of a large number of patients seeing a doctor can be improved.

The invention relates to the technical field of medical instruments, in particular to a transfer bed with a damping device, which comprises universal moving wheels and further comprises an auxiliary medical component, a support base frame is fixedly connected to the tops of the universal moving wheels, an electric lifting rod is fixedly connected to the top of the support base frame, and the electric lifting rod is provided with a telescopic end. The telescopic end of the electric lifting rod is fixedly connected with a bed frame, and a folding mattress is arranged at the top of the bed frame. According to the invention, when an overweight patient is in contact with the mattress, a piston disc in an air pressure cylinder is forced to move upwards to generate compressed air, and the compressed air is limited by a precise small hole to form active air cushion support, so that the risk of instant sinking of a traditional transfer bed is thoroughly eliminated; the air spring supporting rods in the four directions evenly disperse impact force through deformation, vertical impact is converted into controllable elastic potential energy, and the somatosensory stability in the transferring process is remarkably improved.

The invention discloses an intelligent auxiliary inquiry medical large model training method and system, and relates to the technical field of artificial intelligence auxiliary medical treatment, and the method comprises the following steps: S1, collecting medical inquiry data; s2, data annotation and cleaning; s3, constructing a medical large model; s4, optimizing the medical pre-training model; s5, task specific fine tuning; and S6, designing an inquiry system. The model trained by the intelligent auxiliary inquiry medical large model training method can efficiently capture important information when a large number of complex medical languages are processed, and the ability of understanding and reasoning the symptoms of a patient is improved; according to the invention, intelligent on-time suggestion generation can be carried out based on real-time data, questioning and adjustment can be carried out according to symptom information provided by a patient, and the doctor seeing efficiency and accuracy are greatly improved.

The invention discloses a five-degree-of-freedom electromagnetic positioning system and method, and the system comprises a transmitting unit which comprises a plurality of single-axis transmitting coils and is used for generating a magnetic field in a three-dimensional space; the receiving unit is used for collecting field intensity information in a three-dimensional space; the control and data processing unit is used for inputting the field intensity information collected by the receiving unit into a pose initial value prediction network and outputting initial pose information of the receiving unit; inputting the initial attitude information into a coil magnetic field modeling network to obtain theoretical field intensity; and the iterative optimization module acquires a field intensity difference according to the theoretical field intensity and the acquired field intensity information, updates the attitude information according to the field intensity difference, and returns to execute the step of acquiring the theoretical field intensity until a preset iteration termination condition is reached, thereby acquiring the final attitude information. The method can reduce the complexity of a traditional electromagnetic positioning algorithm, improves the positioning precision and speed, can be widely applied to the fields of auxiliary medical treatment, man-machine interaction and motion tracking, and achieves a multi-degree-of-freedom electromagnetic positioning function.

To provide a medical information processing apparatus that determines whether processing using a medical examination support application is necessary.SOLUTION: A medical information processing apparatus according to an embodiment comprises: an acquisition unit that acquires medical examinee information including a symptom of a medical examinee; a decision unit that, on the basis of the medical examinee information, performs decision processing of deciding a medical examination support application for supporting a medical examination as a recommended application; a control unit that performs control to present the recommended application decided by the decision unit on a display; and a determination unit that determines whether to perform the decision processing by the decision unit on the basis of the medical examinee information. When the determination unit determines to perform the decision processing, the decision unit performs the decision processing.SELECTED DRAWING: Figure 1

Disclosed systems, apparatuses, and methods enable remotely controlling robotic-assisted medical systems, such as robotic-assisted surgery systems, for performing remote robotic-assisted medical procedures. Disclosed approaches provide a secure, efficient, and dynamically-created virtual network for connecting physician consoles and robotic-assisted medical systems. Disclosed approaches improve efficiency, security, scalability, and reliability of remote robotic-assisted medical procedures.

The invention discloses a patient medical health joint decision-making system, and the system comprises a patient terminal which is used for carrying out the medical health interaction of a patient with a doctor terminal; the dialogue system is used for performing dialogue with the patient through the patient terminal according to a friendly dialogue mode which is easy to understand the patient condition so as to obtain the current patient condition and patient identity information; the patient historical data aggregation device is used for collecting patient historical medical information, including treatment and examination information, of the patient according to the patient identity information; the auxiliary decision-making system is used for generating a plurality of patient auxiliary medical schemes according to the patient historical medical information and the patient current illness state collected by the patient historical data aggregation device; and the doctor terminal is used for making a patient preliminary diagnosis and treatment scheme by a doctor according to a plurality of patient auxiliary medical schemes from the auxiliary decision-making system, interacting with the patient through the patient terminal, and jointly making decisions, so that the medical effect of the patient can be ensured, and the patient can also satisfy and accept the medical scheme.

A sidecar configured to be positioned alongside an elongate member configured to deliver a medical instrument, such as a medical scope. The sidecar is configured to deliver one or more medical instruments independently of a medical instrument delivered by the elongate member. The sidecar is coupled with the elongate member with the distal end of the sidecar proximal to the distal end of the elongate member. An auxiliary medical instrument delivered through a lumen of the sidecar is thus translatable as well as laterally movable with respect to a distal increased-flexibility section of the elongate member. A return-to-home feature may be provided to return the distal end of the auxiliary medical instrument from a position spaced apart from the elongate member to a position adjacent the elongate member.

Mobile practical work unit for the mobile teaching of medical, dental or paramedical techniques. The invention relates to a mobile practical work unit (2) for the mobile teaching of medical, dental or paramedical techniques, comprising at least one wheeled trolley (4) on which are mounted four individual and identical workstations (6), each workstation comprising a self-contained computer unit (10) with a screen (12), a wireless network system connected to the computer unit for receiving teaching content and at least one pneumatic machine (14). Figure for the abstract: Fig. 1.

To provide a method for reducing the burden of document dispatching work in the medical and nursing care field.SOLUTION: In a method for assisting in batch transmission of business forms to a patient of a medical and nursing care provider and each of the patient's associates, a control unit of a server terminal accepts input to select a patient from a medical and nursing care provider terminal of the medical and nursing care provider, accepts input to select the transmission content of a business form to be sent to the patient's terminal and / or the patient's associates, creates a business form based on the input to select the transmission content, accepts input to select a transmission destination corresponding to the patient and / or the patient's associates in order to send the created business form, accepts input to select transmission means for sending the business form, and sends the business form to the selected transmission destination by the selected transmission means.SELECTED DRAWING: Figure 6

A mobile-assisted diagnostic platform and method for vertigo, belonging to the interdisciplinary field of computer vision and assistive medical care, includes a data acquisition module, a data preprocessing module, a data processing module, and a data management module. The data acquisition module collects nystagmus videos via a mobile application. The data preprocessing module uses a binary classification neural network to remove interference frames and achieves coarse pupil localization through centroid calculation. The data processing module enhances spatiotemporal, channel, and motion features through a multi-path excitation module, combines a VST architecture to achieve nystagmus type recognition, and uses a dual-branch deep learning association model to correlate nystagmus type with vertigo classification. The data management module utilizes WeChat cloud services and a WeChat cloud database, supporting multi-terminal adaptation. This invention supports remote collaborative diagnosis and treatment between doctors and patients; it requires no dedicated medical equipment, is convenient while ensuring diagnostic accuracy, significantly reduces medical costs, and is suitable for home health monitoring, primary healthcare, and remote diagnosis and treatment scenarios.

The present invention relates to the technical field of medical care, and particularly relates to a tumor prognosis prediction method based on tumor database text recognition, comprising the following steps: S1, data collection and preprocessing: collecting tumor-related medical data from multiple tumor databases; S2, text information extraction: extracting information from clinical text data; S3, tumor metastasis path prediction: using a graph neural network model to predict the metastasis path, predicting the potential metastasis path of the tumor, and analyzing the impact of different metastasis paths on the prognosis of patients; S4, prognosis evaluation and risk prediction: combining the medical data of patients to predict the tumor prognosis risk, and comprehensively evaluating the predicted value of the five-year survival rate and the predicted value of the recurrence risk of patients. The present invention can assist medical institutions in optimizing resource allocation, formulating scientific personalized diagnosis and treatment plans, and significantly improving the survival quality and treatment effect of patients.

This invention relates to the field of assistive medical device technology and discloses a cloud-based cerebral infarction rehabilitation training device, including a rehabilitation training glove. A fixed base is provided on one side of the glove, and a lifting seat is fitted onto the upper side of the fixed base. An electric push rod for driving the lifting seat to move up and down is fixed to the upper side of the fixed base. The unfolding assembly includes a bracket fixed to the upper side of the fixed base. An image acquisition module is provided on the outer wall of the bracket, and a cylinder slides on the inner wall of the bracket. An unfolding roller is fixed to the lower side of a pressure sensor. By pressing down on the palm with the unfolding roller, the hand is massaged and unfolded. Then, the controller controls the drive of the rehabilitation training glove to adjust the position of the finger sleeves. With the cooperation of the patient's right hand, the rehabilitation training glove is put on. Thus, while enabling the patient to independently wear and use the device, it also realizes the functions of hand massage and training.

The invention belongs to the technical field of auxiliary medical instruments, and particularly relates to a convenient fumigation device for gynecological nursing, which comprises a barrel body, a cushion is hinged to an opening of the barrel body, a conical hopper is hermetically connected to the opening of the barrel body, an air injection part is arranged on the inner wall of the conical hopper, and the air injection part is communicated with a steam supply assembly through a pipeline. The steam supply assembly is used for generating steam and spraying the steam out through the steam spraying part so as to fumigate the affected part of the patient, and a cooling mechanism is arranged on the pipeline and used for reducing the temperature of the steam in the pipeline; a lifting assembly is arranged at the bottom of the conical hopper, a cleaning assembly is arranged at the lifting end of the lifting assembly, the cleaning assembly communicates with a liquid medicine supply mechanism, the liquid medicine supply mechanism provides liquid medicine for the cleaning assembly, and the liquid medicine is sprayed to the affected part of the patient through the cleaning assembly for medicine cleaning. The fumigation and medicine washing functions are integrated, the nursing efficiency and effect are improved, and operation inconvenience in the patient nursing process is reduced.

A clinical workflow escalation and acknowledgment governance system converts AI-assisted clinical outputs into governed workflow items. The system enforces execution-time routing, tiered escalation, and acknowledgment thresholds and stores immutable audit records. The invention improves safety and accountability without autonomously diagnosing conditions or prescribing treatment actions.

The invention relates to the technical field of auxiliary medical treatment, in particular to a medical accompanying system, which comprises a user management module, a personal management module, a reservation and scheduling module, a positioning and tracking module and a consultation module, and is characterized in that the user management module is configured with a database and is used for receiving and processing registration, login and authority management problems of a user; the personal management module is configured with a login interface and is used for providing patient information input and query functions; the reservation and scheduling module is connected to the personal management module, is provided with a reservation unit and a scheduling unit, and is used for assisting online reservation registration and escorting of accompanying personnel; the positioning and tracking module is used for receiving the information of the scheduling unit and then docking with a personal account of an accompanying person, and positioning and tracking the position of a patient in real time; and the consultation module is connected to the personal account and the reservation unit, and is used for querying patient information and providing online health consultation service and health knowledge propaganda and education. According to the invention, the user can efficiently see a doctor according to requirements.

To more appropriately support a medical worker in asking a plurality of questions corresponding to a patient.SOLUTION: A medical support system 1 comprises a disease name selection unit 152 and a question set presentation control unit 153. The disease name selection unit 152 selects a disease from which a patient may have suffered on the basis of information described on a prescription issued to the patient. The question set presentation control unit 153 acquires a question group related to medical treatment corresponding to the disease selected by the disease name selection unit 152, and presents the acquired question group to a medical worker who asks questions related to the medical treatment to the patient.SELECTED DRAWING: Figure 1

The invention provides a risk prediction system and method for lung cancer treatment immune adverse events, and belongs to the field of artificial intelligence assisted medical decision. The system comprises an information acquisition module used for acquiring patient information from a hospital information system and a patient self-reporting platform; the risk assessment module is used for predicting the occurrence risk level of the immune-related adverse events through a machine learning model based on the collected information; the report generation module is used for generating three types of personalized reports for doctors, clinical pharmacists and patients according to evaluation results; the report sending module is used for sending the report to each terminal; and the central management module is used for data verification, consistency check and real-time synchronization. According to the invention, early and accurate prediction and multi-role collaborative management of adverse risks in the immunotherapy process of the lung cancer patient are realized, and the treatment safety and medical collaborative efficiency are improved.

The invention belongs to the technical field of auxiliary medical equipment, and relates to a work and rest habit determination method, system and device based on cloud big data management, and the method comprises the steps: obtaining the pressure information of a baby acting on a plurality of detection units, enabling the pressure information to be in one-to-one correspondence with the position information of the plurality of detection units, and forming a feature matrix; the method comprises the following steps: converting a pressure space cloud picture into a three-dimensional space coordinate system to form a pressure space cloud picture, repeating the steps for multiple times in a preset fixed time period to obtain a plurality of pressure space cloud pictures, selecting one of the plurality of pressure space cloud pictures as a reference, and simultaneously performing fitting error on the rest of the plurality of pressure space cloud pictures and the reference to obtain a pressure space cloud picture. When the fitting error is larger than a preset threshold value, it is judged that the baby is in a waking state, otherwise, it is judged that the baby is in a sleeping state, a plurality of preset fixed time periods are set in one day, the steps are repeated for multiple times to judge the state of the baby, and the work and rest habits of the baby are determined. The work and rest habits of the baby are determined through big data so as to assist medical treatment.

A surgical instrument and an auxiliary medical system. The surgical instrument comprises a rear end transmission mechanism and a front end execution mechanism. The rear end transmission mechanism comprises a bottom plate, a mounting plate, a winding assembly array, a plurality of cables and a transmission part. And a first mounting hole is formed in the bottom plate. The mounting plate and the bottom plate are arranged in a spaced mode and connected, and a second mounting hole is formed in the mounting plate. The winding assembly array comprises a plurality of winding assemblies, and the two ends of each winding assembly are rotatably arranged in the first mounting hole and the second mounting hole respectively. And each cable is wound on the corresponding winding assembly. The transmission member connects the plurality of cables to the front end execution mechanism to control the front end execution mechanism to move. The bottom plate and the mounting plate are connected on the periphery of the winding assembly array and define a mounting area, and the winding assembly array, the transmission part and the cable at least located between the winding assembly array and the transmission part are all located in the mounting area.

A distal tip (20) of a medical device (10) may include a housing (160) and a lifter (126). The lifter may include an opening (152) extending from a first surface (154) of the lifter to a second surface (182) of the lifter. The opening may be configured to receive a secondary medical device therethrough such that the secondary medical device extends distally of the distal-most end of the housing.

Methods and systems include fine-tuning (200) a small language model (SLM) to determine a first probability distribution. Text is generated (210) with a large language model (LLM), including modifying a second probability distribution of the LLM using the first probability distribution so that the text is human-like. A detector is trained (220), using the text, to determine whether input text is generated by a human or by a language model.