35 results about "Medical software" patented technology

The invention discloses a plateau newborn rare disease multi-mode combined screening system and a storage medium, and belongs to the technical field of medical software development. The plateau adaptability newborn rare disease multi-mode combined screening system is constructed, the plateau adaptability of the screening system is enhanced, the cost is remarkably reduced, and the screening system has a good application prospect.

The invention relates to the technical field of medical software, in particular to a system and method capable of recognizing early Alzheimer's disease through mobile phone voice, the system capable of recognizing early Alzheimer's disease through mobile phone voice comprises intelligent mobile phone software and a hospital background, and the mobile phone software builds an interactive platform based on the hospital background. Through intervention monitoring of mobile phone software, when voice communication, chatting and instruction input are carried out in daily life, monitoring can be carried out through system monitoring of software and characteristics such as smoothness and continuity of voice, so that analysis and diagnosis of the Alzheimer's disease can be carried out according to comparison with a normal state, and moreover, in the monitoring process, the monitoring efficiency is improved. Diversified collection is carried out in different time periods and different statement numbers, language recognition and dialect recognition are added when a user inputs voice, and keyword recognition for determining the Alzheimer's disease condition can be carried out through approximate comparison with mandarin after the user speaks out statements.

The invention belongs to the technical field of medical software development, and particularly relates to a plateau newborn inherited metabolic disease screening system, a computer readable storage medium and application of the plateau newborn inherited metabolic disease screening system. According to the screening system, an altitude hierarchical multi-level reference value database based on a local healthy newborn queue is established, and the problem that the false positive rate of a plain area screening model in a plateau area is too high is solved by fitting an altitude metabolism marker reference median and a standard deviation curve. By designing a'biochemical primary screening-risk scoring-targeted sequencing automatic triggering 'three-level joint control data processing flow, targeted sequencing guided by a crowd specific pathogenic mutation library is started only when the biochemical risk is high, unnecessary whole genome sequencing is avoided, and the screening cost is remarkably reduced. The system can continuously iterate a reference curve and a risk threshold value according to definite diagnosis data, and closed-loop dynamic optimization from sample collection to report generation is achieved. The method has plateau adaptability, crowd specificity and cost controllability, and has a good clinical application prospect.

Apparatuses, systems, and techniques providing isolated execution of software-as-a-medical device (SaMD) applications on edge-AI platforms are provided. A criticality level of an application of a plurality of applications associated with a medical device is identified. Based on the criticality level, the application is determined to be executed in one of a plurality of environment. Each environment of the plurality of environments provides a corresponding level of isolation from other applications of the plurality of applications. One or more computing resources are assigned to the application, based at least on the criticality level or resource requirements of the application.

Medical software tools platform utilizes a surgical display to provide access to specific medical software tools, such as medically-oriented applications or tools, that can assist those in the operating room, such as a surgeon or surgical team, with a surgery. In particular, an optical sensor located within an endoscopic camera may register subtle differences in color characteristics reflected from a tissue surface and in turn transmit the information to a medical image processing system. Moreover, the new tools are intended to help surgeons better determine the boundaries between healthy and diseased regions during surgical procedures. Various tools are intended to be used in procedures where indocyanine green (ICG) fluorescent dye is used. Intraoperative fluorescence imaging is commonly used during minimally invasive procedures to enable surgeons to visualize tissue perfusion and anatomical structures. The term perfusion refers to the passage of blood and tissue fluid through the capillary bed. Intraoperative fluorescence imaging can also be used to improve visualization of vessels and structures, which, in turn, may reduce the risk of complications during minimally invasive surgeries.

This invention provides a system and method to protect an artificial pancreas' sensor, infusion system, and alert systems from EMI / wireless attacks using a medical software or application, close the gap between sensor glucose and blood glucose, and build a non-invasive hypoglycemia and hyperglycemia false alarm detection scheme with the help of a wristband. This inventive method and system provides a more accurate blood glucose prediction. It comprises preprocessing the CGM readings with Kalman smoothing for sensor error correction improves the robustness of the BG prediction. In one or more embodiments, the inventive system and method uses one or more physiological information such as meal, insulin, aggregations of step count, and preprocessed CGM data. The invention provides a novel approach for leveraging the stacked LSTM based deep RNN model to improve the BG prediction accuracy. The invention provides a special circuits-Transduction Shield-to detect and correct the sensor errors caused by EMI attacks.

A method is provided for monitoring medical information using a portable medical device and a mobile device, comprising: establishing a communication link between the mobile device and a download server; selecting, depending on the type of mobile device, a communication software package from a plurality of communication software packages accessible by the download server; downloading the selected communication software package to the mobile device over the link; installing the communication software package on the mobile device; wirelessly transferring medical data from the portable medical device to the mobile device using the installed communication software package; and uploading at least a portion of the medical data from the mobile device to a medical care server.

Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

The application discloses a medical software defect positioning control method and device and a storage medium, relates to the technical field of medical software testing, and comprises the following steps: determining a defect running data set in the software running process by running a failure test case; performing node-by-node feature comparison between the defect running data set and a health benchmark feature set to identify a candidate defect node set; performing cross-domain correlation reasoning on the candidate defect node set according to a data flow direction dependency graph to obtain a defect root cause positioning conclusion; and calculating the comprehensive confidence scores of each root cause node and sorting the comprehensive confidence scores based on the defect root cause positioning conclusion and confidence evaluation dimension weight to obtain a defect positioning report. The application generates an associated sample with a semantic label through a semantic anchor point, generates a target protocol template through domain separation, cluster aggregation and hierarchical inference, solves the problem of poor protocol recognition quality, improves the field division precision and semantic recognition accuracy, and enhances the unknown message analysis and adaptation capability.

The invention relates to the technical field of medical software, and discloses a myopia risk prediction method and system based on an eye biological parameter joint model, and the method comprises the steps: obtaining at least one time of eye biological parameter measurement data of a target individual, and the eye biological parameters comprise the eye axis length and corneal curvature data used for calculating the axis ratio; based on the eye biological parameter measurement data of the target individual, processing through a pre-trained myopia risk combined prediction model to obtain myopia occurrence risk information of the target individual in a future preset time period; and outputting myopia occurrence risk information of the target individual in the future preset time period. According to the method, the longitudinal sub-model and the survival sub-model share the random effect parameters, so that the calculation process of the myopia occurrence risk can reflect the individual difference information contained in the axis ratio change track of the target individual.

This invention relates to the field of medical software technology and discloses a method and system for predicting myopia risk based on a joint model of ocular bioparameters. The method includes: acquiring at least one measurement of ocular bioparameters of a target individual, wherein the ocular bioparameters include axial length and corneal curvature data used to calculate the axial ratio; processing the ocular bioparameter measurement data of the target individual using a pre-trained joint myopia risk prediction model to obtain myopia risk information for the target individual within a predetermined future time period; and outputting the myopia risk information for the target individual within the predetermined future time period. This invention shares random effects parameters between a longitudinal sub-model and a survival sub-model, enabling the calculation process of myopia risk to reflect the individual differences contained in the trajectory of axial ratio changes of the target individual.

Intelligent, distributed medical software management (e.g., using a computerized tool) is enabled. A system can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising determining requirement information representative of one or more requirements of a medical application of a group of medical applications, wherein the medical application is associated with a medical device, based on the requirement information, allocating elements of a cluster employable to host and run the medical application in a medical application container, wherein the elements of the cluster are determined to satisfy the requirement information, and in response to allocating the elements of the cluster, hosting the medical application in the medical application container, wherein hosting the medical application comprises communicatively coupling the medical application to the medical device.

Systems and methods are provided for a medical software platform for enabling authenticated communications between various entities to, for example, expedite a worker compensation process between the entities. For example, the medical software platform can receive healthcare and claim data as it is determined and identify relevant parties and deadlines that need to receive the data and respond to the data. This information may be associated with a patient profile. The medical software platform can provide various end users with instructions and data on how to follow and navigate the care of a worker compensation patient. The medical software platform can reduce the overall time in providing timely treatment to the patients and ensure that all the entities involved in the care of the patient are all on the same page.

The application discloses a highland newborn rare disease multi-mode combined screening system and a storage medium, and belongs to the technical field of medical software development. The application constructs a highland adaptive newborn rare disease multi-mode combined screening system. The screening system has highland adaptability, a significantly reduced cost, and a good application prospect.

The invention provides a medical software system assisted by artificial intelligence. The medical software system comprises a software function module and a special big language model; the specially-called large language model serves as a medium for interaction between a user and the software function module, an operation instruction is generated according to interaction information input by the user, a corresponding function interface of the software function module is called, and an expected function is achieved. According to the method, the specially called large language model is used as a medium for interaction between the user and the software function module, the interaction information between the user and the software function module is converted into the operation instruction matched with the software function module, the corresponding function interface is called, and the function expected by the user is achieved; a user does not need to directly face a complex software interface and various operation processes, and the learning and using threshold of a medical software system is lowered.

The invention relates to the technical field of medical software, and discloses an intelligent follow-up visit robot system for a posthepatic transplantation transition period of children, which comprises a robot body, a communication module, and a parent terminal and a transplantation center follow-up visit system which are in communication connection with the robot body, a compliance prediction module; an ecological instantaneous evaluation module; and the ecological instantaneous intervention module is used for automatically triggering intervention measures of corresponding levels according to the follow-up state evaluation result and a preset grading intervention strategy. The ecological instantaneous evaluation module and the ecological instantaneous intervention module work cooperatively based on the same real-time data stream, so that the intervention content, the intervention opportunity and the intervention intensity can be adaptively adjusted along with the dynamic change of the medication compliance and the psychological behavior state of the child patient.

The invention discloses a medical software intelligent health data analysis method based on cloud computing, and the method comprises the following steps: S1, collecting and preprocessing health data of a user, and uploading the health data to a cloud computing platform; s2, performing feature learning and dimension reduction processing on the health data by using a variational self-encoding model, and extracting health data features; s3, initializing positions and speeds of wolf pack individuals by using a variational auto-encoder; s4, evaluating the fitness of each wolf pack individual in the feature space, and searching an optimal health data feature subset; s5, evaluating the health risk of the user, and predicting possible diseases; s6, generating personalized health management suggestions, and providing health early warning information; and S7, providing a dynamic health report for the user. According to the invention, a wolf pack algorithm, a variational self-encoding model and a data analysis and management technology of a cloud computing platform are combined, and intelligent health data analysis of medical software based on cloud computing is realized.

Intelligent, distributed medical software management (e.g., using a computerized tool) is enabled. A system can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising determining requirement information representative of one or more requirements of a medical application off a group of medical applications, wherein the medical application is associated with a medical device, based on the requirement information, allocating elements of a cluster employable to host and run the medical application in a medical application container, wherein the elements of the cluster are determined to satisfy the requirement information, and in response to allocating the elements of the cluster, hosting the medical application in the medical application container, wherein hosting the medical application comprises communicatively coupling the medical application to the medical device.

The invention relates to the technical field of medical software, and discloses a treatment effect evaluation system for epilepsy patients, which comprises a data acquisition module, a treatment module, a treatment effect evaluation module and an electroencephalogram signal analysis module, further performs prediction and automatic detection on the treatment effect through computer processing, achieves the effects of accurate evaluation and dynamic detection, and improves the treatment effect of the epilepsy patients. A'detection-intervention-evaluation 'closed loop is formed, and a complete solution is provided for individual precise treatment of epilepsy.

Disclosed are systems, methods, and articles for determining compatibility of a mobile application and operating system on a mobile device. In some aspects, a method includes receiving one or more data values from a mobile device having a mobile medical software application installed thereon, the data value(s) characterizing a version of the software application, a version of an operating system installed on the mobile device, and one or more attributes of the mobile device; determining whether the mobile medical software application is compatible with the operating system by at least comparing the received data value(s) to one or more test values in a configuration file; and sending a message to the mobile device based on the determining, the message causing the software application to operate in one or more of a normal mode, a safe mode, and a non-operational mode.

This invention relates to the field of medical software development technology and discloses a system and storage medium for differentiating benign and malignant pulmonary nodules based on cfDNA methylation-radiomics-clinical studies. The system includes a multimodal data acquisition module, a feature extraction and alignment module, a multimodal fusion diagnosis module, and an interpretable report generation module. After collecting clinical information, low-dose CT images, and peripheral blood cfDNA methylation sequencing data from the subjects, features are extracted from each modality and mapped to a unified semantic space through contrastive learning. A collaborative attention mechanism is then used to dynamically weight and fuse the aligned multimodal features. The fused features are input into a deep neural network classifier to output a nodule malignancy probability score, and finally, an interpretable diagnostic report with risk stratification is generated. This invention solves the problems of insufficient multimodal heterogeneous data fusion, poor model robustness, and weak interpretability, achieving accurate differentiation between benign and malignant pulmonary nodules, and demonstrating good clinical applicability and promotional value.

The present application belongs to the technical field of medical software development, and particularly relates to a highland newborn genetic metabolic disease screening system, a computer readable storage medium and an application thereof. The screening system establishes an altitude stratified multi-level reference value database based on a local healthy newborn cohort, solves the problem of high false positive rate of screening models in plain areas in highland areas by fitting altitude metabolic marker reference median and standard deviation curves. By designing a three-level control data processing flow of "biochemical primary screening-risk score-targeted sequencing automatic triggering", only when the biochemistry is high risk, the population-specific pathogenic mutation library guided targeted sequencing is started, unnecessary whole genome sequencing is avoided, and the screening cost is significantly reduced. The system can also continuously iterate the reference curve and risk threshold according to the confirmed data, realize the closed loop dynamic optimization from sample collection to report generation. The present application has highland adaptability, population specificity and controllable cost, and has good clinical application prospect.

Medical software tools platform utilizes a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist those in the operating room, such as a surgeon or surgical team, with a surgery. In particular, an optical sensor located within an endoscopic camera may register the momentary change in the optical characteristics reflected from a tissue surface and in turn transmit the information to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures and the speed of change may indicate subsurface anomalies.

1. The name of the design product: manual switch. 2. The use of the design product: for industrial equipment on-off control or medical software image acquisition. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

Medical software tools platform utilizes a surgical display to provide access to specific medical software tools, such as medically oriented applications or widgets, that can assist those in the operating room, such as a surgeon or surgical team, with a surgery. For various embodiments, the medical software tools platform and its associated medical software tools are presented on a surgical display (e.g., being utilized in an operating room) over an image stream provided by a surgical camera (e.g., in use in the operating room or with other endoscopic procedures). Various medical software tools can provide features and functions that can facilitate integration of equipment in an operating room or add medical context awareness to anatomic structures presented in the image stream from the surgical camera and provide archived information pertaining to the same.

The present invention relates to the technical field of image processing, and discloses a processing method, device and equipment for empirical screenshots of medical rating indicators. The present invention performs similarity matching between each target indicator empirical screenshot and the medical software function interface screenshot carrying picture feature information in the picture feature information library to obtain target picture feature information; calculates the picture scaling ratio according to the picture resolution of the target indicator empirical screenshot and the corresponding target picture feature information to calculate the target picture annotation information, determines and identifies the picture annotation area for the target picture annotation information to obtain the corresponding target annotation content text; furthermore, screens out the scene text from each target annotation content text, and performs scene matching on each target indicator empirical screenshot according to the scene text to realize the judgment of whether the target indicator empirical screenshots belong to the same scene. The present invention can effectively improve the recognition accuracy and processing efficiency.

Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

Disclosed are systems, methods, and articles for determining compatibility of a mobile application and operating system on a mobile device. In some aspects, a method includes receiving one or more data values from a mobile device having a mobile medical software application installed thereon, the data value(s) characterizing a version of the software application, a version of an operating system installed on the mobile device, and one or more attributes of the mobile device; determining whether the mobile medical software application is compatible with the operating system by at least comparing the received data value(s) to one or more test values in a configuration file; and sending a message to the mobile device based on the determining, the message causing the software application to operate in one or more of a normal mode, a safe mode, and a non-operational mode.