68 results about "Clinical exam" patented technology

The invention relates to the technical field of respiratory system risk prediction, and provides a respiratory system risk prediction method and system based on a graph neural network, and the method comprises the steps: collecting the multi-modal medical data of a patient, and constructing a multilayer heterogeneous graph based on the multi-modal medical data; constructing a weighted adjacency matrix and a node feature vector through the multi-layer heterogeneous graph; matrix product operation and convolution operation are carried out based on the weighted adjacent matrix and the node feature vector, splicing combination with historical moment state information is carried out, graph state representation is obtained, weighted aggregation of time dimensions is carried out, and time sequence attention features are obtained; performing coding processing based on the clinical examination data to obtain multi-modal fusion features; and inputting the multi-modal fusion features into a risk classifier for classification calculation to obtain a respiratory system risk level prediction result, generating a risk assessment report, and outputting respiratory risk early warning information. The accuracy and clinical practicability of respiratory system risk prediction are improved.

The invention discloses a model for screening temporal-mandibular joint disc anterior displacement. TMJ ADD risk probabilities are output according to data of a plurality of key features. Wherein the key features comprise the opening degree, the lateral movement of the left side of the lower jaw, the lateral movement of the right side of the lower jaw, the crowding degree of the upper dentition, the Wits value, the FH-NPo angle, the Co-Go, the ALFH / PLFH ratio and the G '-Sn-Pog' distance. After network deployment of the constructed model, interconnection and intercommunication are realized, so that primary hospitals and clinics can also utilize related indexes of a skull lateral position film in orthodontic routine examination and clinical examination results to screen the risk of temporal-mandibular joint disc anterior displacement before orthodontic treatment, the popularization rate of joint screening before orthodontic treatment can be greatly improved, and the screening efficiency of the joint before orthodontic treatment is improved. Therefore, the effect of clinical orthodontic treatment is guaranteed as a medical instrument.

The invention discloses a genetic disease pathogenic site sorting and diagnosis auxiliary method and system based on multi-modal artificial intelligence. The method comprises the following steps: firstly, collecting genetic disease data to construct a heterogeneous knowledge graph; the method comprises the following steps: acquiring patient data, and executing an analysis process: generating multi-modal feature representation of candidate pathogenic sites from four dimensions of variation features based on rules, a tissue specificity mechanism, a protein three-dimensional structure and real-time literature evidence; carrying out fusion sorting on the features by using a sorting model, and generating an interpretable report and a clinical examination suggestion based on the uncertainty of a sorting result; and after the doctor executes examination according to the suggestion and feeds back newly added data, the analysis process is repeated until a preset iteration target is achieved. According to the method, the limitation of a static analysis model is broken through, multi-dimensional evidence fusion and clinical workflow embedding are realized, and the interpretation accuracy and diagnosis efficiency of the pathogenic site of the genetic disease are remarkably improved.

The invention discloses a system for evaluating coronary artery calcification points through photon CT non-electrocardiogram gated lung CT plain scanning, and relates to the technical field of coronary artery calcification point evaluation. Through the CT data acquisition module, the coronary artery calcification recognition module, the integral calculation evaluation module and the risk evaluation generation module, X-ray photons are directly counted, electronic noise is eliminated, the signal-to-noise ratio and the contrast noise ratio are improved, in conventional chest low-dose CT, electrocardio gating is not needed, and the cost is reduced. Automatic processing from low-dose lung CT flat scanning data acquisition to structured report generation is achieved, manual data transmission and intervention among all links are not needed, coronary artery calcification evaluation is fused into a conventional lung CT examination process, the extra burden caused by the fact that a patient needs to independently conduct coronary artery CT scanning is avoided, and the examination efficiency is improved; errors possibly caused by manual operation are reduced, consistency and reliability of evaluation results are ensured, and clinical examination and diagnosis processes are optimized.

Systems and methods for ophthalmic disease detection and risk assessment that combines digitally-augmented examination instruments with neural networks trained to analyze examination imagery across diverse patient populations and variable image qualities, enabling automated analysis and classification of eye conditions during routine clinical examinations.

1. Name of the product in this design: Wired oral endoscope. 2. Purpose of this design: For dental clinical examination, especially suitable for detailed observation and image acquisition of oral mucosal lesions. 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.

The medical photodynamic multispectral electronic endoscope relates to the technical field of endoscopes and comprises an eyepiece seat and an objective lens, one end of the eyepiece seat is connected with a light transmitting bundle, the objective lens is mounted at one end, far away from the eyepiece seat, of the light transmitting bundle, a mounting cavity is formed in the eyepiece seat, one side of the mounting cavity is provided with an opening, and the opening is communicated with the eyepiece seat. A mounting cavity is formed in the eyepiece base, a mounting shell is clamped in the mounting cavity, through holes are formed in the two ends of the mounting shell, an eyepiece body is clamped in the mounting shell, sliding grooves are formed in the inner walls of the two ends of the side, away from the opening, of the eyepiece base, sliding rods are fixedly arranged in the sliding grooves, and the rod walls of the sliding rods are movably sleeved with sliding blocks. According to the utility model, the eyepiece quick-changing structure is arranged on the eyepiece seat body, so that a doctor can quickly change different eyepieces in a short time without complicated dismounting and mounting operations, the examination time is greatly saved, and the clinical examination efficiency is improved.

This invention discloses a multimodal respiratory disease-related data acquisition system and method. The data acquisition system includes a disposable oral-nasal breathing interface, an oral-nasal breath sound acquisition module, a bidirectional flow / differential pressure sensing module, a temperature and humidity auxiliary acquisition module, a chest and back multi-channel auscultation module, a channel auscultation front end, a trimodal respiratory data acquisition box, a mobile terminal annotation module, a clinical label association module, and a local storage module. The data acquisition method is as follows: Step 1, prepare the oral-nasal breathing interface and acoustic coupling patch; Step 2, start the trimodal respiratory data acquisition box; Step 3, the patient performs quiet breathing; Step 4, the patient performs a maximal inhalation followed by a forceful exhalation; Step 5, associate the clinical examination results with the acquired data; Step 6, output risk scores, abnormality prompts, or classification prompts. Beneficial effects: Reduces wind noise interference, allows acoustic signals and lung function data to be acquired at the same time reference, and reduces frictional noise and poor contact.

The application provides a kind of based on deep learning's absorbed dose prediction method, device, equipment and medium, it is related to medical image processing technical field, comprising: obtaining the treatment of patient's pre-test multi-modal data;According to clinical examination data and the mask map of the target tumor region and normal key organ region of pre-set drug, space coding is carried out, and the biomarker feature map of the patient to be tested is constructed;According to the pre-treatment medical image and biomarker feature map, a preset first deep learning model is used for prediction, to generate the simulated treatment initial medical image of the patient to be tested;According to the simulated treatment initial medical image, a preset second deep learning model is used for prediction, to generate the post-treatment predicted dosimetry parameter map of the patient to be tested.The application can improve the accuracy of nuclide absorbed dose prediction evaluation.

An intelligent homing type lens box comprises: a box body, which is internally provided with a chamber, and any side of which is provided with a lens recovery port; the try-on lens box is arranged on any side of the box body, and a plurality of lens grooves for accommodating lenses are formed in the try-on lens box; the feeding track is arranged in the cavity, and the feeding track is provided with an inlet end communicated with the lens recovery opening and a detection end used for positioning a to-be-returned lens; the detection mechanism is used for detecting parameters of the to-be-homed lens and is arranged corresponding to the detection end; and the sorting mechanism is used for transferring the to-be-homed lenses into the lens grooves matched with the parameters of the to-be-homed lenses in the try-on lens box based on the detection information acquired by the detection mechanism. According to the utility model, full-automatic identification and homing of the try-on lenses can be realized, manual searching for storage positions and degree comparison are not needed, and the sorting time is remarkably saved. The workflow automation degree of an optometry consulting room can be remarkably improved, non-diagnosis and treatment labor is reduced, and doctors can put more energy into clinical examination and analysis.

A multifunctional diagnostic system includes a reusable speculum with a modular head and a portable digital twin station. The speculum includes a set of heated blades configured to comfortably open the vaginal canal, a numbing spray nozzle to anesthetize the cervix, and an integrated light source to illuminate the internal anatomy for clinical examination. The same speculum head supports a vaginal sweep using embedded imaging components and sensors to capture interior anatomical data. The captured data is wirelessly transmitted to a companion digital twin system that includes a processor, memory, and smart display. The system implements multi-spectral imaging configured to generate a digital twin of the patient's anatomy, which may be used for assessment, diagnosis, treatment planning, education, and analysis with artificial intelligence and extended reality platforms. A portable housing station serves as both a charging dock and sanitization unit.

The invention is suitable for the technical field of image transmission, and provides an image stream transmission method and device and a computer program product. The method comprises the following steps: in response to a device binding operation of a user, starting a scanning function of a wearable display terminal to scan a device identification code of a medical device, and obtaining a network address and communication port information of the medical device; based on the network address and the communication port information, initiating a remote connection establishment request carrying the equipment authorization customer dependence information to the medical equipment so as to establish a remote procedure call connection with the medical equipment; based on the remote procedure call connection, sending a first media connection establishment parameter to the medical equipment, and receiving a returned second media connection establishment parameter; establishing point-to-point media transmission connection with the medical equipment according to the first media connection establishment parameter and the second media connection parameter; and based on the point-to-point media transmission connection, receiving and displaying the image stream pushed by the medical equipment, so as to improve the image access efficiency in the clinical examination process.

1. Name of the designed product: surgical microscope. 2. Use of the designed product: for clinical examination and surgery. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: front view.

The application discloses a diabetes patient biological age calculation method based on glycosylation markers and a multi-task deep learning framework, and belongs to the technical field of bioinformatics and medical data processing technology, and the method comprises the following steps: obtaining glycomics feature data and clinical examination data of diabetes patients; preprocessing the data; obtaining a feature set by adopting a multi-method screening and fusion strategy; constructing a deep learning model comprising a multi-modal feature fusion module and a multi-task learning module for training, wherein the multi-task learning module comprises a main task of aging clock regression and at least one auxiliary task; and outputting biological age prediction values and age acceleration evaluation results of individuals by using the trained model. The method realizes deep fusion of multi-modal biological data and exclusive modeling for the diabetes population, can accurately quantify the biological aging process and the deviation degree relative to the calendar age, and provides an objective quantitative tool for clinical evaluation.

The invention provides a probiotic strain formula scheme screening method. The method comprises the following steps: establishing a disease model database according to a clinical examination result, performing standardization processing and data layering on the disease model database to obtain a layered database, scoring and grading diseases in the layered database, and establishing a disease model grading data matrix of patients; establishing a strain curative effect matrix according to the strain database and published clinical research data; and associating the disease model grading data matrix with the strain curative effect matrix, screening a relationship with high association strength, constructing a disease-microbial treatment response model, and obtaining different types and different levels of diseases and corresponding recommended bacterial systems through the disease-microbial treatment response model. And grading the synergistic effect of the disease and the recommended strain, filtering the score through a threshold value to screen out a scheme of a strain formula, and outputting the scheme of the strain formula through a user interface.

The present application relates to a kind of POVIC drug efficacy prediction method, the prediction method includes: obtaining prediction object, lung function index FEF 50％ And exhaled nitric oxide (FeNO), three data are processed by regression, obtain P value, when P value is less than or equal to preset value, predict the drug effective for treating POVIC as: compound methoxyphenamine and ICS / LABA joint;When P value is greater than preset value, predict the drug effective for treating POVIC as: compound methoxyphenamine is used alone.The present application also provides corresponding prediction device, computer readable storage medium and its electronic equipment.The two clinical examination indexes used can be obtained by hospital lung function result report, without carrying out complex additional examination, greatly reduce the examination times and examination cost of patient.

The invention relates to a method for predicting the curative effect of a POVIC medicine, and the method comprises the steps: obtaining a predicted object, a lung function index FEF50% and exhaled air nitric oxide (FeNO), carrying out the regression processing of the three data, obtaining a P value, and when the P value is smaller than or equal to a preset value, predicting the effective medicine for treating POVIC as compound methoxyphenamine and ICS / LABA combination; when the P value is greater than the preset value, the medicine for predicting the effective treatment of POVIC is that compound methoxyphenamine is independently used. The invention further provides a corresponding prediction device, a computer readable storage medium and electronic equipment thereof. The two adopted clinical examination indexes can be obtained through a lung function result report of a hospital, complex extra examination is not needed, and the examination frequency and the examination cost of a patient are greatly reduced.

The invention relates to an intelligent clinical heat preservation device for newborns and a control method, and the intelligent heat preservation device comprises a box body, a mattress composed of a plurality of independent supporting units, lifting mechanisms correspondingly connected, a visual recognition device and a controller; recognizing the outline of the newborn through a visual device, driving the first target unit located in the area below the newborn to descend to form a downward concave area, and driving the second target unit close to the peripheral side of the newborn to ascend to form a surrounding structure. According to the intelligent heat preservation device, the shape of a bed surface is accurately controlled through visual feedback, profiling supporting and lateral limiting of a newborn are automatically achieved, the problems that manual fixing is unstable, image offset is likely to be caused, and operation is tedious are effectively solved, and the stability, safety and operation efficiency of posture limiting in clinical examination are remarkably improved.

The utility model relates to a child restraint device for bronchoscopy and an examining table. The child restraining device is installed on a bed board of the bronchoscopy bed and comprises fixing rods symmetrically arranged on the edges of the two sides of the bed board, two sliding supports are independently arranged on each fixing rod in a sliding mode, and fastening rotary knobs used for fixing the positions of the sliding supports are arranged on the sliding supports. A chest and abdomen restraint strap or a leg restraint strap is arranged between the corresponding sliding supports on the two sides in a penetrating mode. The child restraint device further comprises a head restraint assembly arranged on the bed board, and the head restraint assembly comprises a set of head limiting plates and a driving assembly used for driving the head limiting plates to be close to each other or away from each other. Compared with the prior art, the child restraint device has the advantages that through cooperation of the chest and abdomen restraint strap, the leg restraint strap and the head restraint assembly, turning over and twisting of a child patient can be effectively limited during bronchoscopy, and clinical examinations such as bronchoscopy and the like are facilitated.

1. The name of this design product: bladder scanner. 2. Purpose of this product design: This product design is used for clinical bladder examination. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The invention belongs to the technical field of oral medical instruments, and particularly relates to an oral cleaning device for clinical examination in the department of stomatology, the oral cleaning device comprises a cylindrical shell, and the cylindrical shell is provided with a cleaning assembly and a cleaning assembly; the cleaning assembly comprises a strip-shaped rod which slides in the cylindrical shell, a strip-shaped groove is formed in the strip-shaped rod, a sliding block is arranged in the strip-shaped groove and connected with a connecting rod, a scaler is installed at the lower end of the connecting rod, an installation block is fixed to the sliding block, a fixing plate is fixed in the cylindrical shell, and a guide groove which is obliquely formed is formed in the fixing plate. A guide block located in the guide groove is fixed to the mounting block, and a pushing piece is connected to the upper end of the strip-shaped rod; through cooperation of the pushing block, the pushing rod, the strip-shaped rod and other components, an operator only needs to press and slide the pushing block, the corresponding scaler can be rapidly stretched out of the cylindrical shell, reverse operation can be carried out when different scalers are replaced, the scaler can be rapidly replaced to clean different parts of teeth, use is convenient, and the working efficiency is improved.

The invention relates to a chronic liver disease assessment method based on a multi-classification model. The method comprises the following steps: acquiring clinical examination data of a patient to be diagnosed; the clinical examination data comprises blood routine data and biochemical data; inputting the clinical examination data into a pre-trained multi-classification hepatopathy auxiliary diagnosis model to obtain a chronic hepatopathy evaluation result; the chronic liver disease evaluation result comprises subdivided liver disease types and corresponding confidence and diagnosis result contribution characteristics; the multi-classification liver disease auxiliary diagnosis model is formed by sequentially connecting a first-stage large-class classifier, a second-stage exclusive feature activation layer and a second-stage fine classifier; and obtaining a chronic liver disease auxiliary diagnosis report according to the chronic liver disease evaluation result. By the adoption of the method, blood routine and biochemical data which are clinically and easily obtained can serve as input, subdivided liver disease types, confidence coefficients and contribution characteristics are rapidly output through the hierarchical multi-classification model, a structured auxiliary report is generated, diagnosis efficiency and precision are considered, all levels of medical scenes are adapted, and standard diagnosis and treatment and early intervention are assisted.

The embodiment of the invention provides a similarity calculation method and device based on multi-dimensional clinical data, equipment and a medium. The method comprises the steps of obtaining target patient data and to-be-compared patient data in a clinical database; a first similarity coefficient between the target patient data and the patient data to be compared is then calculated through a continuous attenuation function. According to the order level difference of the first clinical examination result between the target patient data and the patient data to be compared, a second similarity coefficient is obtained; then, calculating the toxicity vector similarity between the target patient data and the patient data to be compared to obtain a third similarity coefficient; and finally, performing weighted summation on the first similarity coefficient, the second similarity coefficient and the third similarity coefficient to obtain a comprehensive similarity score between the target patient data and the patient data to be compared. In this way, the accuracy and reliability of retrieving similar cases in the clinical database can be improved.

A method and apparatus for identifying a vulnerable coronary plaque based on a multimodal large language model (MM-LLM) are provided. The method includes: acquiring a target 3D coronary computed tomography angiography (CCTA) image and a target straightened curved planar reformation (SCPR) image; acquiring plaque mask information of a blood vessel based on the target SCPR image; acquiring basic plaque data based on the plaque mask information; acquiring fluid dynamics data of each plaque area based on the SCPR image; acquiring basic clinical testing information; standardizing above image data, structural data, and textual data separately, and performing, by a regression mapping network, feature fusion to acquire a first fusion feature; acquiring a trained vulnerable plaque identification LLM; and inputting the first fusion feature into the vulnerable plaque identification LLM to acquire an identification result. The method solve problems of poor single-image feature expression ability and low identification performance in traditional technologies.

A decision support system that aids healthcare practitioners in making more informed clinical decisions and avoiding errors related to diagnosis and treatment of diseases. The system utilizes several data points from the patient history and clinical findings input by the patient and the doctor, to help the doctor make a more accurate diagnosis and develop a more informed treatment plan that incorporates not just drugs and procedures, but also dietary and lifestyle interventions. A system of the present disclosure comprises dosage calculator, symptom checker, differential diagnosis, drug interaction checker, side effect checker, nutritional analyzer and drug-food interaction checker input pathways and corresponding database compartments. Output data is generated in correspondence with patient input data and stored on a database server, where it is correlated with patient outcomes over time and improved through machine learning.

The invention relates to the technical field of tooth inlay repair, in particular to an inlay repair quality intelligent grading evaluation method and system. Clinical examination data at different times after a target tooth is repaired and an SEM image under a multi-angle light source are obtained, a microscopic 3D image is constructed based on an image recognition and segmentation technology, key microscopic parameters are calculated, then the microscopic parameters and the clinical data are fused into feature vectors, and the feature vectors are used as feature vectors. Comprehensive evaluation and risk classification of the future health state of the inlay are achieved through a time sequence prediction model, the repair quality grade is finally output, micro-morphology data and macroscopic clinical evaluation indexes are systematically fused, the problem that evaluation is inconsistent due to the fact that traditional methods depend on subjective experience of doctors is solved, and the method is suitable for popularization and application. Through quantitative analysis, the objectivity of evaluation is remarkably improved, and manual operation deviation is reduced; the technical problems that an existing inlay repair quality intelligent evaluation method has subjectivity and is difficult to quantify, and microscopic and macroscopic information is not fused are solved.

A multifunctional diagnostic system includes a reusable speculum with a modular head and a portable digital twin station. The speculum includes a set of heated blades configured to comfortably open the vaginal canal, a numbing spray nozzle to anesthetize the cervix, and an integrated light source to illuminate the internal anatomy for clinical examination. The same speculum head supports a vaginal sweep using embedded imaging components and sensors to capture interior anatomical data. The captured data is wirelessly transmitted to a companion digital twin system that includes a processor, memory, and smart display. The system implements multi-spectral imaging configured to generate a digital twin of the patient's anatomy, which may be used for assessment, diagnosis, treatment planning, education, and analysis with artificial intelligence and extended reality platforms. A portable housing station serves as both a charging dock and sanitization unit.

The application provides a medical cell detection method, comprising: S1: collecting a cell image for preprocessing; S2: performing structural processing and encoding processing on multi-modal data; S3: performing feature extraction on the cell image and the multi-modal data; S4: fusing the cell image and the multi-modal data; S5: inputting the fused feature vector into a segmentation head of FastSAM; S6: generating a segmentation mask of the image; S7: judging whether the cell is abnormal; S8: for the cell with the abnormality, resampling and culturing the cell; S9: collecting a cell image in a cell culture device in real time for preprocessing; and S10: inputting the cell image into a FastSAM model, and analyzing indexes of the cell based on the generated segmentation mask; the application combines the cell image and multi-modal data such as a case and a clinical examination result, more comprehensively understands characteristics of the cell, and improves detection accuracy.

This invention discloses a syncope medical history collection system, terminal, computer equipment, and storage medium. The medical history collection system includes: an automatic collection module, a recording module, an information filtering module, a structured storage module, an automated etiology discrimination module, a testing and analysis module, and a guidance and suggestion module. This invention, through a syncope medical history auxiliary collection system, combines the needs of clinical diagnosis, treatment selection, and scientific research management. It records, collects, and structures the information related to the admission of syncope patients. The testing and analysis module calls an existing XGBoost training model to automatically discriminate the etiology of syncope in new users. Finally, the predicted etiology results from the testing and analysis module pop up the next set of test kits, guiding the next etiology diagnosis and clinical examination plan, and assisting doctors in investigating the cause of syncope in patients and in clinical diagnosis and treatment.

The invention relates to the technical field of daily chemical industry, in particular to an antibacterial breathable finger stall and a preparation method thereof. The antibacterial breathable finger stall comprises a base body layer and an antibacterial functional layer, and the base body layer comprises waterborne polyurethane, modified cellulose nanocrystals and a thickening agent hydroxyethyl cellulose; the antibacterial functional layer is a waterborne polyurethane coating covering the surface of the finger pulp area, and epsilon-polylysine / nano-silver composite microcapsules are embedded in the antibacterial functional layer. In the preparation process, through the coordination of three processes of partitioned functional design, double-effect antibacterial microcapsules and a nano-cellulose enhanced matrix, a performance partitioned product which has long-acting antibacterial protection, obvious touch feeling, breathability and comfort in a finger stall is realized, and the pain points that clinical examination gloves are easy to sweat, slow in touch feeling and poor in antibacterial effect are solved.