46 results about "Patient examination" patented technology

The invention relates to a patient examination item recommendation method based on a medical knowledge graph. The method comprises the steps that firstly, historical data in the medical field is acquired, key information is extracted from the historical data to generate an entity relation triple, and then a medical knowledge graph is constructed; then, generating a patient state sub-graph based on patient input information, processing the medical knowledge graph by adopting an improved TransD model, and determining unique representation of an entity-relationship pair; mapping the patient state sub-map to a unique representation space, obtaining vector representation of a patient and an examination item related entity, and calculating a similarity value between vectors to obtain a similarity value matrix; and finally, performing priority ranking on the inspection items according to the matrix, and generating a final recommendation list through threshold screening and combination with graph neural network verification, optimization and adjustment of priorities. By adopting the method, examination items can be accurately recommended for patients, doctors are assisted to improve the treatment efficiency, the queuing time of the patients is shortened, and the medical experience of the patients is remarkably improved.

The invention provides an intelligent processing method, system, equipment and medium for high-risk and newly-onset definite diagnosis crowds of hypertension, and belongs to the technical field of hypertension detection.The method comprises the steps that patient examination data are collected and serve as an original data set; preprocessing the original data; constructing a corresponding parameter group; mapping the family history score into a risk quantification function through a dynamic weight coefficient Wi; summing the product of the dynamic weight coefficient Wi and the quantization function Fi to obtain a total risk score; determining whether the patient is a high-risk population based on the diagnosis code and the total risk score; and pushing the high-risk crowd data to a management center server. According to the method, the data is accurately pushed to a corresponding platform or a storage library, so that safe and effective utilization of the data is guaranteed, and sharing and collaboration of regional medical data are realized.

The invention discloses a severe heatstroke gait pre-training method based on rising bed angle dynamic optimization, and relates to the technical field of rehabilitation medical instruments.The severe heatstroke gait pre-training method comprises the following steps that a patient is safely fixed to an electric rising bed and connected with multi-modal physiological signal monitoring equipment, and a patient examination result is obtained; the central processing unit receives the collected initial data and initializes setting of angle parameters of the standing bed; the electric standing bed is controlled to lift the tentative angle and maintain the tentative angle, and all physiological signal data are collected and recorded; in the standing bed angle maintaining process, physiological signal data flow is obtained, physiological data are input into the tolerance prediction model, and a tolerance index is obtained; according to the tolerance index value, the tolerance level of the patient is judged, and different bed rising instruction operations are executed; the real-time data acquisition process, the tolerance index calculation process and the angle adjustment decision making process are repeatedly executed until the end; after training is finished, a training report is generated, and all data are encrypted and stored in a database.

This invention discloses a method, device, electronic equipment, and medium for assessing the risk of pulmonary embolism. It relies entirely on collected non-invasive objective data and eliminates subjective judgments based on medical history or physician experience, effectively avoiding risk misjudgments caused by subjective variables in the PESI / sPESI model. This ensures the consistency and reliability of the assessment results. The ratio of Qa to Qb is used as the core assessment indicator. This ratio is a continuous variable, eliminating the need for empirical segmentation of parameters and avoiding significant differences in assessment results among patients with similar conditions. The risk level is assessed based on the ratio of Qa to Qb obtained through hemodynamic simulation. The results perfectly match clinical understanding of the severity of pulmonary embolism, improving assessment accuracy. Simultaneously, it reduces patient examination trauma and avoids high equipment and operational costs.

The invention particularly relates to a hospital triage number calling system based on face recognition, and relates to the technical field of medical informatization and biological recognition. And the priority calculation module is used for receiving a patient examination return signal of the non-inductive sign-in and verification module, calling the departure timestamp and the average diagnosis duration of the doctor from the data interconnection and system management module in response to the signal, and calculating a priority weight value of the patient. According to the method, the waiting loss of the patient caused by examination is quantified, and a scenarized insertion strategy is combined, so that the fairness and efficiency of queue management are remarkably improved; according to the intelligent queue recalculation algorithm, firstly, lost waiting time is calculated based on the departure timestamp of a patient and the average diagnosis duration of a doctor, then the lost waiting time is converted into an equivalent waiting order, finally, a priority weight value is generated in combination with an initial priority coefficient, and accurate queue adjustment with the more serious waiting loss, the higher priority and the more sufficient compensation is achieved.

The invention discloses a medical equipment intelligent scheduling method and device, equipment and a storage medium. The method comprises the steps that historical equipment use data of all first medical equipment in a target area are acquired, and the historical equipment use data at least comprise log data, positioning data and abnormal marks; for each first medical device, determining a first efficiency index and a first rule index corresponding to each first medical device according to historical device use data of the medical device; and based on a scheduling optimization strategy, according to the first efficiency index and the first rule index corresponding to each first medical device and the current to-be-inspected queue of the first medical device, dynamically allocating a patient inspection task so as to improve the utilization efficiency of the medical devices and the patient experience.

The utility model discloses a special shoulder and back fixing device for scoliosis patient examination, which effectively achieves the purpose of properly supporting the upper limbs of a scoliosis patient during examination, and comprises a first support rod and two second support rods, a limiting mechanism is arranged in the rotating sleeve, a supporting plate is arranged on the upper side of the first supporting rod, two supporting frames capable of moving front and back are arranged in the supporting plate, and supporting mechanisms are arranged on the lower side of the first supporting rod and the lower side of each second supporting rod respectively. According to the device, the generation probability of motion artifacts is effectively reduced, a worker can conveniently adjust and store the device, the device is more stable when placed, the arms of a patient can be fixed, and the device can be conveniently moved and also can be fixed at any time.

For sufficient use of patient examination data generated at multiple medical institutions, a request node (2a) in multiple patient examination nodes (2) generates and transmits a request message requesting viewing of target examination data to the generation node (2b). The generation node authenticates a signature of a target patient received together with the request message, generates a permission message requesting setting of a viewing right of the target examination data to the request node, and transmits the message to an authentication node (3). The signature of the target patient and a signature of the generation node are included in or attached to the permission message. The authentication node generates, after receiving the permission message, a data block to set the viewing right of the target examination data to the request node and transmits the data block to the patient examination nodes for storage in a blockchain format.

The invention discloses a radiation machine room management method and system. The method comprises the following steps: firstly, collecting historical examination data of a hospital, performing cleaning and feature extraction, and establishing an examination demand prediction model by using ARIMA and multiple linear regression algorithms; and meanwhile, equipment operation data are acquired through a sensor, and an LSTM model is utilized to predict the equipment fault probability, so that a personalized maintenance plan is formulated according to the equipment fault probability. And when a new patient needs to be examined, equipment and time are distributed through an optimization algorithm by integrating the equipment operation state, the appointment queuing condition and the predicted examination time. The system comprises a data acquisition module, an analysis and prediction module, an equipment scheduling module and a maintenance management module. The system solves the problems of low service efficiency and poor pertinence of maintenance of the equipment in the radiation machine room, improves the utilization rate of the equipment, reduces the waiting time of a patient, reduces the operation cost, and promotes the intelligent and scientific management of the radiation machine room.

Methods and systems are provided for calibrating a single photon emission computed tomography (SPECT) imaging system. In one example, a collimated line source for calibrating a SPECT system comprises a radioactive material aligned along a central axis of the collimated line source and a plurality of collimator plates arranged perpendicularly around the central axis, the collimator plates including a material that substantially absorbs photons striking the collimator plates. The collimator plates may absorb photons emitted by the radioactive material in non-perpendicular directions, which are not used for calibrating the SPECT imaging system, thereby reducing an amount of radiation released in an environment of the SPECT imaging system during calibration. Due to the reduced amount of radiation to which people in the environment are exposed, short time increments between patient examinations may be advantageously used to collect calibration data, reducing an overall amount of time used for calibration.

The invention provides a magnetic control capsule endoscope robot with a puncture biopsy taking function. Comprising a biopsy puncture needle module located at the front end, a capsule shell module, a fixing leg located at the tail end, a waterproof plug, a cam, a height-variable rotating ring device, an internal magnet, a camera module, a positioning pin, a positioning pin, a spring, a rotating table device and an external magnet. A traditional enteroscopy mode is replaced, and the workload of enteroscopy doctors and the pain degree of patient examination are reduced.

The invention relates to the field of medical health, and provides a personalized low-iodine diet control system and control method based on artificial intelligence, a data management module collects patient basic information, an iodine content database, patient diet record data and patient examination data; the personalized low-iodine recommendation module generates a personalized low-iodine menu through a low-iodine diet algorithm according to the collected data, generates patient guidance suggestions and issues the patient guidance suggestions to the patient side; and the risk assessment and early warning module estimates the daily iodine intake of the patient according to the diet record data of the patient and the examination data of the patient, and performs risk assessment and early warning on the daily iodine intake of the patient in combination with the target daily iodine intake. According to the invention, personalized low-iodine diet control based on a food iodine content table, diet records and an intelligent algorithm can be realized for a patient subjected to radioiodine 131 treatment after a thyroid cancer total resection operation.

The invention discloses a medical balloon dilator, which relates to the technical field of medical treatment, and comprises an inflating tube, a water filling piece is mounted at one end of the inflating tube, an extension piece is mounted at one end, far away from the water filling piece, of the inflating tube, an air bag is mounted on the annular surface of the extension piece, an extrusion piece is mounted at one end, facing the inside of the inflating tube, of the extension piece, and the extrusion piece is connected with the extension piece. A plurality of abutting blocks are installed in the inflation pipe and make contact with the extrusion piece. An air bag is installed on the annular surface of an extension rod, the extension rod and the air bag are pushed out of an inflation tube through a moving structure during water injection, damage caused when the air bag moves in the intestinal tract of a patient is avoided, meanwhile, after water flow is injected into the inflation tube, a moving plate is pushed to move, and after an abutting structure in the moving plate makes contact with an abutting block, the moving plate is pushed to move. The water flow enters the air bag to expand the air bag, so that the length of the inflation tube is controlled, and the situation that the inflation shape of the air bag is changed due to lesion of an examination area of a patient is avoided.

The utility model discloses an anti-catching device, and belongs to the field of medical instruments. An anti-grabbing device comprises a seat and a shoulder strap arranged at a backrest of the seat, and further comprises a winding roller rotationally connected in the seat, a circular groove is formed in the seat, a mounting groove is formed in the inner wall of the circular groove of the seat, the shoulder strap is wound on the surface of the winding roller, a volute spiral spring is fixedly connected in the mounting groove of the seat, and the volute spiral spring is fixedly connected in the mounting groove of the seat. A rectangular plate is slidably connected into the winding roller, a sliding groove is formed in the surface of the winding roller, the rectangular plate is slidably connected with the sliding groove of the winding roller, and a pulling plate is fixedly connected to the surface of the rectangular plate. According to the anti-grabbing device, the pulling plate is pulled outwards to drive the rectangular plate to be separated from the winding roller, the winding roller can rotate, then the shoulder strap is pulled, meanwhile, the shoulder strap can be automatically wound along with the winding roller and matched with the volute spiral spring, time is saved, and the working efficiency of a doctor for examining a patient is improved.

1. Name of the product in this design: Medical CT Scanner. 2. Purpose of this design: This design is for medical imaging equipment used for patient examination. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 Stereoscopic Figure 1. 5. Designate Design 1 as the base design.

The ultrasonic examination bed comprises a bottom plate and a bed plate, positioning plates are arranged above the two ends of the bottom plate, supporting plates are arranged at the bottoms of the positioning plates, the two ends of the bed plate are arranged on the positioning plates, the bed plate comprises a fixed bed plate body and a movable bed plate body, the fixed bed plate body is hinged to the movable bed plate body, and a handrail plate is arranged on the fixed bed plate body; linkage structures are arranged below the armrest plate and the movable bed plate, and a reset moving mechanism is arranged below the bed plate, the ultrasonic examination bed assisting in multi-position examination of the patient is convenient to use, convenience is improved for the examination process of the patient, and the examination efficiency is improved.

The application provides a center positioning system for femtosecond laser ophthalmic corneal refractive surgery, which comprises an iris recognition component, a central processing component and a real-time display component, the iris recognition component is used for converting a real-time image of a patient into a digital image; the central processing component is electrically connected with the iris recognition component, and the central processing component is used for converting the digital image into an iris simulation image with a size equal to that of a pre-recorded patient examination iris image; the real-time display component is electrically connected with the central processing component, is used for receiving the iris simulation image transmitted by the central processing component, and presents the iris information transmitted by the central processing component in real time. Meanwhile, a center positioning method is also provided, which takes the corneal vertex as the center, calculates the self-rotation angle of a treated eye of a patient by comparing the image angle difference between the iris simulation image and the pre-recorded real-time image, improves the positioning accuracy, significantly reduces the residual myopia and astigmatism, and improves the safety of the ophthalmic femtosecond laser surgery.

The embodiment of the application discloses a fitting pressure adjusting device and method for magnetocardiogram electrocardiogram imaging, relates to the technical field of medical equipment, and the device comprises: a pneumatic driving system arranged on a base support and providing dynamic pressure adjustment by changing air pressure; one end of a sensor carrier is slidably connected with the lower end of the pneumatic system, and the other end is attached to the surface of the patient's body through the pressure provided by the pneumatic system; a pressure control system is arranged in the pneumatic system and feeds back the pneumatic driving system according to the fitting state and / or signal quality of the sensor carrier, so as to adjust the pressure applied to the surface of the patient's body. The application realizes the quantification and adaptive adjustment of the fitting pressure, can effectively solve the problem of contact pressure change caused by breathing, body movement and the like, ensures that the sensor is always in the best working pressure interval, thereby significantly improving the acquisition quality of electrocardiogram and magnetocardiogram signals and the repeatability of measurement results, and improving the comfort and safety of patient examination.

The utility model relates to the technical field of colonoscopy nursing, in particular to a nursing device for colonoscopy, which comprises a bottom pad sheet, an arc-shaped groove arranged on the upper surface of the bottom pad sheet close to the left side, a water absorption pad arranged in the arc-shaped groove, a body position layer arranged on the upper surface of the bottom pad sheet close to the corner of the right upper end, and an isolation screen arranged in the middle of the upper surface of the bottom pad sheet. A blind pad towel is arranged at the right end of the isolation screen, a circular groove is formed in the front end face of the isolation screen, and a collecting bag is arranged in the circular groove; according to the nursing device for colonoscopy, the isolation screen with a blind pad towel is arranged to be matched with the bottom pad sheet, the isolation screen is bonded and combined with one side of the bottom pad end through a fixing belt, double layers are used for protection matching of private parts of a patient, a water absorption pad is installed to adsorb liquid dung sprayed out during patient examination, and the pollution influence on the examination environment is reduced; under the cooperation of the collecting bag, the colonoscope penetrates through the round hole and penetrates out of the collecting opening, the collecting opening is aligned with the anus of a patient, sprayed liquid dung can be collected easily, and the influence on environmental pollution is reduced.

A patient table for a medical imaging system includes a multi-layered patient support including a top patient support configured to articulate and a bottom patient support, wherein the multi-layered patient support is configured to support a subject to be imaged, and wherein the top patient support is configured to move between a first configuration where the top patient support is flat and horizontal to support the subject in a recumbent position and a second configuration where the top patient support is in an upright-chair configuration to support the subject in an upright seated position. The patient table also includes a platform, wherein the platform is coupled to and supports the multi-layered patient support, and wherein the platform is configured to keep the multi-layered patient support at a desired elevation and to move the multi-layered patient support into and out of a bore of a gantry of the medical imaging system.

The invention discloses a method for improving chemotherapy efficiency of a tumor department. The method comprises the following steps that a whole disease course management system is utilized, after a chemotherapy regimen of a patient is determined, individual case management and the patient confirm follow-up return time, within effective time before the return time, the system will inform a user to complete specified biochemical inspection, the patient uploads an effective inspection list to the system, and the system automatically judges whether the condition of next chemotherapy is met or not; submitting examinations and medical records of the patients meeting the conditions to doctors of the daytime chemotherapy center, and making prescriptions by the doctors according to results; the system informs the patient of exact hospital return date and time and appointment a bed, the patient directly checks in the daytime chemotherapy center according to appointment prompts in the system after arriving at the hospital, the daytime chemotherapy center confirms that elements are complete, medicines are directly dispensed, infusion is arranged, and the patient can directly leave the hospital after infusion is finished. The method has the beneficial effects that the preparation time of a patient before chemotherapy is shortened; the extra expenditure of outpatient service is reduced; the bed utilization efficiency is improved.

The invention discloses an intelligent self-adaptive radiotherapy system, and relates to the technical field of medicine. The system comprises a visual representation module, a language representation module, a semantic alignment module and a decision module. The visual representation module is connected with a first input end of the semantic alignment module and is used for processing the positioning image and the guiding image and extracting image semantic representation in the positioning image and the guiding image; the language representation module is connected with a second input end of the semantic alignment module and is used for extracting language representation of the original radiotherapy plan and the patient examination information; the output end of the semantic alignment module is connected with the decision module, and image semantic representation and language representation are aligned to obtain image language information; and the decision module judges whether the radiotherapy plan needs to be adjusted according to the image language information and gives a corresponding adjustment scheme. According to the invention, the key information is directly extracted from various data sources in the radiotherapy process based on the multi-modal large language model, and the radiotherapy plan is adjusted in real time, so that real intelligent adaptive radiotherapy is realized.

The embodiment of the utility model discloses a disposable end biplane angle-adjustable fiber endoscope, relates to the field of medical instruments, and aims to solve the problem of view blind area, the fiber endoscope comprises a handle, a first operating port and a second operating port, the handle is internally provided with a containing cavity, and the side wall of the handle is provided with the first operating port and the second operating port; the first end of the mirror tube is connected with the handle, the second end of the mirror tube is provided with a camera shooting unit, and a connecting line of the camera shooting unit is arranged in the mirror tube in a penetrating mode and extends into the handle; the second end of the mirror tube is bendable; the operation end of the first traction mechanism corresponds to the first operation opening, and the first traction mechanism is connected with a first traction line and a second traction line; the operation end of the second traction mechanism corresponds to the second operation opening, and the second traction mechanism is connected with a third traction line and a fourth traction line. The embodiment of the utility model is suitable for the scene of patient examination in the body of the patient.

The invention provides a DR equipment intelligent scheduling method based on a patient examination body position and a computer program product, and the method comprises the steps: obtaining an examination task of a to-be-examined patient, and classifying the examination task into a standing position task or a lying position task according to the examination body position; the current examination body position of each DR device is obtained in real time, and whether the DR device with the same body position as the classified examination task exists or not is judged; if yes, the classified examination tasks are allocated to DR equipment with the same body position to be executed; if the classified examination task does not exist, the average time consumption of body position switching of each DR device and a depreciation value brought by single body position switching are obtained, the examination body position switching cost of each DR device is further determined, and the classified examination task is allocated to the DR device with the lowest switching cost to be executed; the body position requirement can be automatically matched according to the examination part of the patient, and the examination sequence of the patient is optimized accordingly, so that the equipment switching frequency is reduced, the examination efficiency is improved, and the service life of the equipment is prolonged.

1. Name of the product in this design: Medical CT Scanner. 2. Purpose of this design: This design is for medical imaging equipment used for patient examination. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention discloses an ensemble learning-mediated method for early warning of tumor drug resistance risks, addressing the problems of delayed detection of tumor drug resistance, patient injury from frequent imaging examinations, and high false positive rates in blood-based early warning systems. This invention constructs a tumor drug resistance time-series blood pairing dataset through non-invasive, time-series blood sampling using indwelling intravenous catheters anchored to the drug administration cycle. A core causal feature set of drug resistance is selected using an ensemble learning-mediated dual-constraint framework of temporal causality and drug resistance mechanisms. A two-layer heterogeneous ensemble learning early warning model embedded with medical knowledge graph constraints is then built, outputting individualized drug resistance risk results and matching them with evidence-based treatment plans, while simultaneously performing incremental model iterations. This invention significantly advances the drug resistance prediction window, reduces patient examination damage, improves early warning accuracy, and can provide support for the development of drugs to reverse drug resistance.

The application discloses an intelligent self-adaptive radiotherapy system and relates to the technical field of medicine.The system comprises a visual representation module, a language representation module, a semantic alignment module and a decision module; the visual representation module is connected with the first input end of the semantic alignment module, processes positioning images and guide images, and extracts image semantic representations therein; the language representation module is connected with the second input end of the semantic alignment module, extracts language representations of original radiotherapy plans and patient examination information; the output end of the semantic alignment module is connected with the decision module, the image semantic representations and the language representations are aligned, and image language information is obtained; and the decision module judges whether the radiotherapy plan needs to be adjusted according to the image language information and gives a corresponding adjustment scheme.The application directly extracts key information from various data sources in the radiotherapy process based on a multi-modal large language model, and adjusts the radiotherapy plan in real time, so that real intelligent self-adaptive radiotherapy is realized.

A computer-assisted method for generating positioning information for an examination protocol for the examination of a patient, including: providing image data of an overview recording of a patient; providing an evaluation model configured, based on the image data, to generate positioning information for an examination protocol for the examination of the patient; and generating positioning information for the examination protocol by applying the evaluation model to the image data, wherein the positioning information is usable in the examination protocol for the examination of the patient.

The invention relates to the technical field of ultrasonic thyroid nodule detection, and discloses an ultrasonic thyroid nodule intelligent detection method based on historical data guidance. Historical doctor seeing information of the patient is obtained to judge whether the patient is an old patient or not, so that different detection schemes are implemented. New patients adopt new detection strategies, and old patients adopt an intelligent detection method. The detection result and the angle of the detection instrument are stored in a data set through a data arrangement program. Patient examination results and angles are classified according to the sizes of thyroid nodules to form a detection data set, and an intelligent detection model is constructed by using a deep learning algorithm and trained. Establishing an in-situ detection angle set, wherein the in-situ detection angle set comprises all angles of the ultrasonic detection instrument at the same coordinate point; a detection result is presented on a user interface and a diagnosis report is generated. Patients are distinguished by using historical doctor seeing information, a data set is established to save program running time, review multi-angle detection is facilitated by classification according to the size of nodules, reference is provided for new patient detection by an in-situ detection angle set, and the detection comprehensiveness is improved.

The utility model belongs to the technical field of ultrasonic examination beds, and particularly relates to an ultrasonic examination bed which assists in patient examination and is fixedly supported. An ultrasonic examination bed assisting in patient examination and fixing and supporting comprises a bottom plate, a supporting mechanism is arranged on the bottom plate, and a rotating mechanism is arranged on the supporting mechanism; a first motor rotates to drive a threaded rod to rotate clockwise so as to drive a first connecting plate to advance, a right-angle plate pushes a first fixing rod, and the first fixing rod pushes a second flat plate to drive the second flat plate to rotate, so that the sitting posture of a patient is adjusted; in the process, the foot supporting plate can play a role in supporting the feet of the patient, the situation that the patient on the second flat plate slides down on the examination bed easily in the process that the second flat plate is changed from the horizontal state to the inclined state is effectively avoided, examination of a doctor is facilitated, and time loss is saved.