17 results about "Clinical performance" patented technology

This invention discloses a real-time processing method for heterogeneous medical data sources based on distributed deployment, relating to the field of edge computing technology. The method includes: distributing standardized FHIR resource data streams to target edge computing nodes according to routing allocation instructions; launching lightweight medical data processing containers on the target edge computing nodes; performing multimodal clinical analysis for different clinical manifestations and dynamically switching analysis paths to generate analysis results; and synchronizing the analysis results to clinician terminal devices and hospital data centers via a distributed message bus on the target edge computing nodes. The analysis paths include a rapid response path for critical care, a research-level image depth analysis path, and an emergency multimodal collaborative path. This invention utilizes a shared syntax tree protocol conversion model, constructing an abstract syntax tree static structure based on protocol definition documents, to achieve field mapping and automatic alignment between source protocol nodes and target FHIR protocol nodes.

The invention discloses a heterogeneous medical data source real-time processing method based on distributed deployment, and relates to the technical field of edge computing, and the method comprises the following steps: distributing a standardized FHIR resource data stream to a target edge computing node according to a route distribution instruction, starting a lightweight medical data processing container at the target edge computing node, and aiming at different clinical manifestations, carrying out the real-time processing of the heterogeneous medical data source. Multi-modal clinical analysis is executed, analysis paths are dynamically switched, and analysis results are generated; synchronizing an analysis result to clinician terminal equipment and a hospital data center through a distributed message bus of the target edge computing node; the analysis paths comprise a critical disease quick response path, a scientific research level image depth analysis path and an emergency treatment multi-mode cooperation path. By sharing the syntax tree protocol conversion model, an abstract syntax tree static structure is constructed based on a protocol definition document, and field mapping and automatic alignment of a source protocol node and a target FHIR protocol node are realized.

The invention discloses a special scientific research disease library system based on hepatolenticular degeneration, which belongs to the field of medical information technology and clinical scientific research and comprises a case data acquisition module, a database management module, a clinical scientific research analysis module, a follow-up management module and a standardized quality control module. Structured input of copper metabolism indexes, clinical manifestation, genetic information and treatment data is realized through a disease specificity data acquisition template; semantic fusion and efficient retrieval of multi-source heterogeneous data are completed by utilizing a database architecture based on a knowledge graph; a copper metabolism kinetic model, a nervous system curative effect evaluation model and a genotype-phenotype association model are embedded, so that automatic analysis of scientific research data is realized; and generating a personalized follow-up plan and dynamically adjusting the follow-up period in combination with a rule engine. The system realizes data acquisition standardization, scientific research analysis intelligence and follow-up management systematization, and is suitable for high-quality accumulation and comprehensive research of hepatolenticular degeneration scientific research data.

A system for training medical providers in obesity management and obesity-related comorbidities includes a user device presenting a conversational interface to a medical provider, an application server managing user sessions, a database server storing user data including course completion records and clinical performance audits, and a learning management system server delivering educational modules based on established competencies. An artificial intelligence server processes queries from the medical provider and provides personalized medical advice using a large language model trained on obesity-related medical content including obesity physiology, pharmacotherapy, and patient management. The artificial intelligence server receives outcome information related to patient health metrics following the personalized medical advice and retrains the large language model based on the outcome information. A performance audit system monitors clinical documentation, prescribing patterns, and patient outcomes of the medical provider to ensure ongoing compliance and performance improvements.

The invention discloses an intelligent diagnosis system and method for multiple myeloma based on multi-modal data fusion, and relates to the technical field of myeloma. Comprising a medical professional module, a digital cloned construction module, a continuous optimization module, an interactive service module, a service requirement module and a basic service module, wherein the medical professional module is responsible for providing professional knowledge support related to multiple myeloma, including clinical manifestations, laboratory examination, diagnostic standards, prognosis layering and therapeutic schedules. According to the intelligent diagnosis system and method for multiple myeloma based on multi-modal data fusion, multi-channel medical knowledge can be acquired and integrated in real time, standardized and structured professional knowledge support is provided through systematic knowledge graph construction and algorithm reasoning, meanwhile, multi-source heterogeneous medical data are comprehensively integrated, and the diagnosis efficiency is improved. And constructing a full-life-cycle data file of the patient so as to provide personalized diagnosis standards and treatment schemes in combination with personal information, medical history and multi-dimensional examination results of the patient.

The invention relates to the technical field of targeted drug screening, in particular to a targeted drug screening system of a blue-eyelash syndrome anterior aqueous humovirus host interacting protein. According to the technical scheme, multi-dimensional heterogeneity data of a patient suffering from the blue-eyelash syndrome is obtained through an acquisition terminal, and the multi-dimensional heterogeneity data is vectorized through a processing terminal so as to obtain a first vector of clinical performance characteristics of each patient and a second vector of interaction protein performance characteristics; according to the first vector and the second vector, obtaining a variable coefficient set representing relative differences of various characteristics; obtaining the matching degree and symptom relieving potential of the current patient on different targeted drugs according to the current patient on the drug and clinical characteristic standard value, the variable coefficient set and the affinity and action effect of the different targeted drugs; and outputting a drug screening result of the current patient according to the matching degree and the symptom relieving potential of each targeted drug. According to the technical scheme, each patient can accurately screen out the medicine suitable for treating the blue eyelash syndrome based on the multi-dimensional heterogeneity data.

In order to solve the problems that an existing viral pneumonia related prediction model lacks accurate distinguishing of disease grading, model construction depends on laboratories and iconography data, and interpretability is insufficient, the invention provides an instant interpretable viral pneumonia disease grading distinguishing model construction method based on symptoms and signs. Comprising the following steps: acquiring clinical information of a subject, and constructing a sample data set; determining N preliminary clinical manifestation variables, and screening out M variables as clinical symptom sign feature vectors; respectively constructing a plurality of machine learning models, and determining an optimal model; the M clinical symptom sign feature vectors are incorporated into an optimal model, and a viral pneumonia condition grading discrimination model is established; carrying out SHAP interpretability analysis on the optimal model; and constructing an ordered logistic regression model, drawing a normogram, and displaying scores corresponding to different clinical symptom sign feature vectors and illness state grading discrimination probabilities according to the normogram, so as to realize accurate identification of early illness states and clinical convenience operability.

The invention relates to the technical field of medical care informatics, in particular to an organ failure early warning platform driven by multi-source heterogeneous medical data, and the platform comprises the steps: obtaining a stage medical data sequence and a real-time medical data set of a user in a current preset time period, and dividing the current preset time period into all disease expression stable time periods; according to the staged medical data of each disease expression stable period, the clinical expression abnormal degree of each disease expression stable period is determined; according to the real-time medical data of each disease expression stable period, in combination with a clinical expression abnormal degree, determining a prediction and early warning attention degree of each disease expression stable period; and the real-time medical data prediction analysis is carried out by utilizing the prediction and early warning attention, so that the accuracy of predicting the physiological data is effectively enhanced.

The application discloses a kind of gradient optimization method and system of multitask radiology report generation, it is related to medical information technology field, including, obtaining medical training data set containing image, label and report text, construct and include visual encoder, clinical constraint auxiliary task branch and text decoder Multi-task report generation model;Firstly, the failure mechanism of linear scalarization is studied from the perspective of gradient dynamics, and it is formalized as the "double dilemma" of drift term bias and diffusion term attenuation using the SDE framework, thereby revealing the geometric root cause of suboptimality in RRG multitask optimization, and proposing CAME-Grad, a gradient optimization algorithm designed specifically for multitask RRG. As an optimizer independent of the backbone network, it can be integrated into various model architectures in a plug-and-play manner. On the MIMIC-CXR and IU X-Ray datasets, CAME-Grad was extensively evaluated across eight representative RRG methods, and the results showed that its average clinical performance improved by 2.3% and 1.9%, respectively.

The invention relates to the technical field of medical simulation training, in particular to a diagnosis and treatment thinking dynamic simulation training method and system based on a computable physiological model, and the method comprises the steps: instantiating a virtual patient model defined by a physiological state vector, a clinical expression vector and a static parameter; receiving a user diagnosis and treatment operation instruction; according to the medical knowledge rule base, the influence of the coupling differential equation set dynamic calculation operation on the physiological state vector is solved; according to the updated physiological state, generating a corresponding clinical manifestation vector through a mapping function; the clinical manifestation is converted into a multi-mode feedback signal to be output; and forming an interactive training cycle, and performing multi-dimensional quantitative evaluation based on the complete operation sequence and the final state of the model. The system takes a computable model as a core, realizes continuous dynamic evolution and response of cases, and can effectively train and evaluate the high-order diagnosis and treatment thinking ability of clinicians.

The invention relates to a microfluidic device, method, and use for the continuous, label-free isolation of motile, morphologically normal spermatozoa from semen samples This invention offers a gentle, reliable, and efficient platform for sperm selection, serving as an alternative to centrifugation-based techniques in ART laboratories. By maintaining the structural and genetic integrity of sperm, it improves fertilization success, embryo quality, and pregnancy outcomes. The platform also reduces variability between technicians and limits exposure to reactive oxygen species (ROS), ensuring consistent clinical performance. Beyond its application in fertility treatments, the system can be used as a diagnostic tool to assess sperm motility disorders, susceptibility to oxidative stress, and DNA fragmentation dynamics under different environmental conditions or drug exposures.

The invention discloses a clinical teaching management method and system based on the Internet, and relates to the field of clinical teaching management.The clinical teaching management system comprises a data acquisition module, a practice module, a groove learning module and an early warning adjustment module.The method comprises the following steps that operation action coherence of all students is judged and analyzed, so that operation comprehensive coherence values of all the students are obtained; analyzing the case information collection and arrangement ability of each student to obtain a disease information integer value of each student, judging the clinical practice physique detection condition of each student to obtain a physique deviation detection value of each student, and judging the practice state of each student to obtain a practice through detection integer value of each student; according to the technical scheme, the special-purpose balance ability, the emotion input and the autonomous learning of each student are analyzed to obtain the trench learning flat value of each student, the clinical comprehensive performance of each student is graded, corresponding early warning and adjustment are given out, the judgment of the student state can be monitored in a multi-dimensional and multi-angle mode, and the efficiency of clinical teaching is improved.

The invention provides a cardiac arrest liquid and a preparation method thereof, and belongs to the technical field of medicines. A packaging form of a double-chamber bag is adopted, the double-chamber bag is divided into an acidic chamber and an alkaline chamber, the acidic chamber contains calcium chloride (CaCl2. 2H2O) and magnesium chloride (MgCl2. 6H2O), the alkaline chamber contains sodium bicarbonate (NaHCO3), and potassium chloride (KCl) and sodium chloride (NaCl) can be selectively arranged on any side. The cardioplegia liquid is used for inducing cardioplegia in cardiac surgery, is packaged by adopting a double-chamber bag, is improved in operation efficiency, reduced in infection risk, optimized in clinical performance, better in cardioplegia effect, capable of better protecting myocardium, simple in formula, high in clinical prescription flexibility and wide in application prospect.

The invention discloses a method for preparing an rHP-PRRSV-NADC30 Nsp230 + 131 recombinant strain and an application of the rHP-PRRSV-NADC30 Nsp230 + 131 recombinant strain. According to the present invention, by using the reverse genetic manipulation technology, the virus strain is successfully constructed and saved, and the inherent 30 deletion of HP-PRRSV (line 8.7) and the 131 deletion of NADC30-like (line 1.8) are simultaneously retained on the PRRSV Nsp2 protein of the virus strain; the modified virus is inoculated to Marc-145 cells for subculture, and experimental results show that the modified virus can induce cytopathy. The obtained recombinant strain shows a stable passage capability in a Marc-145 cell. In addition, clinical animal experiments further verify the safety and effectiveness of the recombinant strain. No obvious pathological reaction and abnormal clinical manifestation are observed in an experimental animal inoculated with the recombinant strain, which indicates that the recombinant strain has good biological safety. Meanwhile, experimental animals show that the recombinant strain can stimulate effective immune response, an effective immune protection effect is provided for multilineage PRRSV infection, and potential vaccine development prospects are shown.

The invention belongs to the technical field of biological detection, and particularly relates to a skin tinea fungus colloidal gold detection kit based on chicken IgY as well as a preparation method and application of the skin tinea fungus colloidal gold detection kit. According to the present invention, the skin tinea fungus rapid detection kit with characteristics of extremely high sensitivity, extremely strong specificity, excellent stability and low cost is successfully prepared mainly through the organic combination of three technical innovation points such as sulfydryl PEG surface modification, composite sealing and chicken IgY antibody system. The clinical performance is excellent, the sensitivity is 93.3%, the specificity is 96.7%, a high-quality scheme is provided for skin tinea diagnosis, and a new high-performance colloidal gold detection path based on chicken IgY is created.

The invention discloses a medical competitive product intelligent analysis method based on medical device feedback multi-source data fusion, and relates to the technical field of data analysis, and the method comprises the steps: building a medical device clinical manifestation multi-mode extractor, extracting feedback multi-source heterogeneous semantic vectors of a target medical device and a competitive medical device, establishing audience patient digital portraits of the target medical device and the competitive medical device, constructing a medical device treatment performance multi-mode adversarial learning model, and generating treatment effect state probability distribution of the audience patient digital portraits of the given target medical device and the competitive medical device; and verifying the target competitive medical device audience patient treatment clinical path, constructing a heterogeneous medical device treatment path value function, and generating an audience patient treatment effect state quality vector probability graph between the target medical device and the competitive medical device. An objective, prospective and quantifiable strategic decision basis is provided for enterprises, and the crossing from passive summarization to active intelligent simulation analysis is realized.

The invention relates to a microfluidic device, method, and use for the continuous, label-free isolation of motile, morphologically normal spermatozoa from semen samples This invention offers a gentle, reliable, and efficient platform for sperm selection, serving as an alternative to centrifugation-based techniques in ART laboratories. By maintaining the structural and genetic integrity of sperm, it improves fertilization success, embryo quality, and pregnancy outcomes. The platform also reduces variability between technicians and limits exposure to reactive oxygen species (ROS), ensuring consistent clinical performance. Beyond its application in fertility treatments, the system can be used as a diagnostic tool to assess sperm motility disorders, susceptibility to oxidative stress, and DNA fragmentation dynamics under different environmental conditions or drug exposures.