49 results about "Diagnostic evaluation" patented technology

An AI-powered system is disclosed for conducting medical interviews, generating comprehensive medical history reports, and providing clinical insights. The system leverages a large language model (LLM) fine-tuned on domain-specific medical datasets to generate interview prompts, iteratively refine responses based on natural language processing (NLP), and identify incomplete or inconsistent information. The system provides patients with education specific to their situation and tailored to varying levels of health literacy. The system ensures compliance with data protection regulations such as HIPAA and GDPR by employing advanced encryption techniques, multi-factor authentication, and secure data storage. The generated medical history report includes a structured clinical summary, and may include provisional diagnoses with associated ICD-10 codes, clinical analysis, suggestions for diagnostic evaluation and treatment, and other pertinent information. Additional features include EHR integration, customizability, scalability, multilingual support, bias mitigation techniques, and adaptability to diverse demographic groups, ensuring equitable and inclusive healthcare delivery.

An apparatus and method for training an artificial intelligence-supported diagnostic assessment tool may provide rapid and accurate prognosis determinations. Apparatus may include at least a processor configured to receive a plurality of multi-channel sensor readings of physiological data, generate training data correlating each of the plurality of multi-channel sensor readings with a plurality of diagnostic labels, train a neural network using the plurality of diagnostic labels, receive a time series input describing user physiological data from at least a sensor, input the time series input into the trained neural network, generate diagnostic data as a function of the time series input and the trained neural network, determine prognostic data as a function of the diagnostic data, and output the prognostic data.

A method and system of diagnosing a vehicle with a vehicle diagnostic system to provide repair recommendations includes connecting a vehicle diagnostic computer tool to a diagnostic port of a vehicle to be in communication with an electronic system of the vehicle and reading vehicle data information of the vehicle with the vehicle diagnostic computer, such as diagnostic trouble codes (DTCs). A diagnostic evaluation program is operable to detect whether particular electrical vehicle systems are present on the vehicle, such as safety systems including Advanced Driver Assistance Systems. The system may additionally receive information regarding damage to the vehicle, such as from a collision. The system includes a repair information database and a report generator program that is operable to generate a repair recommendation report, including for example based on the vehicle data information, the particular electrical vehicle systems determined to be present, and the damage to the vehicle.

Method, system, apparatus, and computer-readable media for reporting an automated medical opinion, including receiving, via a user interface, patient medical history, diagnostic tests, and current symptoms for a user; identifying, as automated output from a trained model, a diagnostic assessment including one or more of a medical diagnosis, a recommended medical treatment, or an recommended diagnostic medical test based on the patient medical history, diagnostic tests, and current symptoms received via the user interface; sending a report to the user based on the diagnostic assessment; receiving, via a feedback loop, feedback for the diagnostic assessment reported to the user; and updating the trained model based on the feedback.

A diagnostic system for assessing engine wear utilizes data from sensors in a vehicle engine compartment and electronic data from a vehicle communications network to provide a comprehensive diagnostic evaluation. The system includes a sensor device with an audio sensor for capturing engine sound, an accelerometer for detecting vibration, and a near-field communication (NFC) tag for sensor information. The sensor device communicates sound and vibration data to a remote server, while a data acquisition and transfer (DAT) device connected to the vehicle's diagnostic port transmits engine performance metrics. A Dynamic Time Warping (DTW) algorithm aligns time-series data from the sensor and vehicle metrics to identify engine problems. The system supports cloud-based diagnostics and enables optimal sensor placement using geo-location or positional data. Applications include smartphone integration, Wi-Fi 6 communication for high-speed data transfer, and scan modes for varying diagnostic detail levels.

The invention discloses a valve-side dry-type bushing end screen diagnosis and evaluation method, system, medium and equipment, and the method comprises the steps: data collection and preprocessing: obtaining multi-source data of a converter transformer valve-side dry-type bushing through real-time monitoring or historical recording of a sensor; dividing the data set, and dividing the multi-source data into a training set and a test set according to a proportion; building a random forest model, generating training subsets of a plurality of decision trees from the training set by adopting replacement random sampling, randomly selecting a feature subset for each decision tree, performing node splitting based on an information gain ratio, and generating the decision trees in a depth-first mode until a preset maximum depth is reached; performing model integration and diagnosis, adopting a voting mechanism to integrate classification results of all decision trees, and outputting defect types and state evaluation grades, the state evaluation grades being grade II and grade I; and performing dynamic tuning and deployment, performing model parameter optimization by taking a test set macro average F1 score greater than or equal to 0.9 as a threshold value, and performing real-time diagnosis on the optimized model.

A portable medical device for diagnostic assessments, wherein the portable medical device comprises: a plurality of medical instruments each medical instrument including one or more sensors, wherein e

This invention relates to a method and computing system for obtaining a treatment plan for a user. The method includes the steps of: receiving multiple general input data from a given user on a computing platform; generating a treatment identifier code from the multiple general input data; collecting multiple consultation data related to the user; scanning at least a portion of the user on the computing platform; and generating a treatment plan from the scan of at least a portion of the user. The invention also relates to a system and computing platform consistent with the method.

The present application relates to the technical field of fault diagnosis of air-conditioning units, and specifically to a method for fault diagnosis of water-cooled precision air-conditioning units. When applied, the present application can perform multi-dimensional diagnosis, combining compression conditions, compressor vibration, and evaporation and condensation data, covering electrical, mechanical, and thermal system faults. False alarms are eliminated through time correlation, thereby improving diagnostic reliability. Moreover, after calculating the correlation quantity, the correlation between each fault can be quantitatively analyzed, and different levels of fault diagnosis evaluation can be performed for different correlation quantities. The focus can be on monitoring signals with high correlation quantities, and higher priority and more computing power can be provided for signal monitoring with high correlation quantities. The present application significantly improves the fault detection rate and diagnostic efficiency of precision air-conditioning units, performs correlation evaluation on each fault, and can perform multi-dimensional diagnostic evaluation on the fault.

This invention discloses an intelligent diagnostic system and method for intersection operation status based on feature matching. Specifically, it involves: collecting peak and off-peak video data from an unmanned aerial vehicle (UAV) above the intersection; detecting dynamic parameters such as traffic flow and speed of motor vehicles and non-motor vehicles at the intersection, as well as static parameters such as the coordinates of lane markings and guide arrows inside and at the intersection's entrances; constructing a multi-dimensional fusion indicator system; establishing a database of intersection influencing factors and a database of improvement measures; simulating and extrapolating data obtained from static modeling and dynamic perception using digital twin technology to acquire data features of different traffic scenarios from the intersection influencing factor database; and achieving a one-to-one strong rule association between the influencing factor database and the improvement measure database through multi-dimensional Apriori association rules. This invention effectively improves the low accuracy and efficiency of existing non-motor vehicle detection methods and provides adaptive diagnostic evaluation for intersections of different specifications.

The invention discloses a valve side dry type sleeve guide rod expansion displacement diagnosis and evaluation method, system and device and a medium, and relates to the technical field of power equipment state monitoring. The evaluation method comprises the following steps of data acquisition and preprocessing, data set division, displacement decomposition model construction, guide rod expansion displacement extraction, state evaluation and early warning and model optimization and updating. The evaluation system comprises a multi-source sensing unit, an intelligent analysis unit and a decision support unit, all the units achieve efficient cooperation through standardized data interfaces, and stable operation of the system under complex working conditions is ensured. The method solves the problem that a traditional method cannot distinguish displacement sources, online monitoring and accurate evaluation of the mechanical state of the bushing are achieved, potential faults such as abnormal expansion of the guide rod can be found in time, and the method is suitable for health state monitoring and fault early warning of the converter transformer bushing in a high-voltage direct-current power transmission system and has good application prospects. And a new technical means is provided for safe operation of power equipment.

A diagnostic system for electronic gaming machines (EGMs) includes a power supply, and a diagnostic device in electrical connection with the power supply, the diagnostic device configured for placement within a cabinet of an EGM. The diagnostic device includes an attachment device configured to couple the diagnostic device to the EGM, a sensor array including at least one sensor for sensing a condition associated with the EGM and configured to generate conditions data based on the sensed condition, a communications device configured to transmit the conditions data to a remote location, a memory configured to store the conditions data, and a processor configured to analyze the conditions data and determine a diagnostic evaluation based upon the analyzed conditions data.

The invention belongs to the field of warehouse diagnosis, and particularly relates to a warehouse performance diagnosis evaluation method and system, and the method comprises the steps: obtaining a distributed three-dimensional virtual warehouse through employing a three-dimensional modeling algorithm based on different warehouse attributes, and then combining a reinforced screening scheduling model with an evaluation association index library with a built-in layered association index space, the method comprises the following steps: obtaining a difference association evaluation index set, then obtaining a distributed evaluation result grade cluster by using the index set and an association evaluation model configured by each three-dimensional virtual warehouse, and finally mapping an evaluation result to a corresponding three-dimensional virtual warehouse region in a real-time visualization manner according to preset difference region evaluation result mapping. And an evaluation solution synchronous mapping is generated through an integrated reasoning model, so that effective diagnosis and visual mapping of performance of different warehouses and different areas in the warehouses are realized, and rapid evaluation and solution recommendation of a large-scale warehouse group are realized.

Method and apparatus for performing automatic cardiac diagnosis. The apparatuses described herein may be handheld devices which enables self-recording of cardiac signals by the patient, including entering relevant data by patients regarding their cardiac history, including cardiac disease risk factors, and / or current conditions and symptoms. Based on recorded cardiac signals, cardiac risk factors and the current symptoms, the apparatus may calculates a cardiac risk score and may provide simplified diagnostic information and actionable instructions to the patient.

A system on chip (SoC) for testing a component in a system during runtime includes a plurality of functional components; a system bus for allowing the plurality of functional components to communicate with each other; one or more wrappers, each connected to one of the plurality of functional components; and an in-system component tester (ICT). The ICT monitors, via the wrappers, states of the functional components; selects, as a component under test (CUT), at least one functional component in an idle state; tests, via the wrappers, the selected at least one functional component; interrupts the testing step with respect to the selected at least one functional component, based on a detection of a collision with an access from the system bus to the selected at least one functional component; and allows a connection of the at least one functional component to the system bus, based on the interrupting step.

The invention belongs to the technical field of monitoring and intervention of the emotional state of a mental disorder patient, and particularly relates to a wearable portable mental disorder closed-loop self-adaptive diagnosis and treatment system based on an acoustic-optical-electric technology, which comprises an electroencephalogram and near-infrared acquisition and analysis module, a self-adaptive control module and an intervention module, wherein the electroencephalogram and near-infrared acquisition and analysis module comprises a physiological signal sensor and is used for acquiring electroencephalogram and near-infrared data of a patient in real time, preprocessing the electroencephalogram and near-infrared data, extracting key diagnosis evaluation indexes, quantifying the depressive state of the patient and outputting electroencephalogram and near-infrared feature vectors representing the current depressive state of the patient; the adaptive control module is used for calculating an optimal intervention scheme and parameters according to the electroencephalogram and near-infrared feature vectors, and forwarding the optimal intervention scheme and parameters to the intervention module; the intervention module integrates various non-drug treatment modules and executes corresponding intervention actions according to the intervention scheme and the parameters.

The present invention discloses a multidimensional diagnostic evaluation method and device for auxiliary equipment of a pumped-storage power station. The method and device establish evaluation indicators and grades for each key component of each auxiliary equipment in the pumped-storage power station, collect operating data of each key component of each auxiliary equipment, evaluate each evaluation indicator of each key component according to the operating data, evaluation indicators and grades, and obtain a fuzzy relationship matrix; determine the weight of each evaluation indicator, obtain a fuzzy comprehensive evaluation result vector of each key component according to the fuzzy relationship matrix and the weight, further determine the health status of each key component, and determine the first health status of each auxiliary equipment through priority; obtain fault diagnosis data of each auxiliary equipment in the equipment system of the pumped-storage power station, determine the second health status of each auxiliary equipment according to the fault diagnosis data, and obtain the health status of each auxiliary equipment through priority determination based on the first health status and the second health status.

The present application relates to a kind of control system dynamic evaluation system and method based on step autonomous perception, the system provides multiple types of industrial field protocol data communication interface, with any monitoring system platform realizes data interaction, the system is composed of four core function modules of data interface adaptation, step autonomous perception, data state latch, index quantitative calculation, based on autonomous controllable programmable logic controller, build a set of automatic control quality dynamic evaluation guidance system with autonomous perception.The present application solves the defect that the general-purpose of traditional control system evaluation system platform is poor, the method involved in the present application realizes the dynamic index evaluation and parameter configuration guidance of cross-platform control system, realizes the autonomous controllable alternative scheme of diagnostic evaluation type technical product, can effectively help energy production enterprise to realize intelligent management and intelligent operation.

Systems and methods include a diagnostic evaluation environment that may provide probabilities of occurrence for one or more conditions based on evaluation of an input dataset. The probabilities may be based on multivariate evaluation of the input dataset against one or more pre-determined clinical metrics. In operation, a distributed environment may process the input dataset to visualize information for a given range and then provide probabilities and associated metric values for different occurrences and conditions to provide diagnostic support to treat one or more conditions.

The present invention discloses a system and method for monitoring fault points of heating equipment in a power plant, which solves the problem that existing systems are unable to perform deep multi-dimensional mining based on monitoring data associated with fault points, thereby reducing the accuracy of diagnostic evaluation of the heating system. The method comprises: preprocessing historical data to obtain envelope sample information, and pre-building a fault evaluation model based on a support vector machine and a convolutional neural network; collecting heating equipment fault point monitoring data in real time, preprocessing the heating equipment fault point monitoring data to obtain envelope monitoring information, and monitoring and tracking the obtained envelope monitoring information based on the fault evaluation model to obtain fault point monitoring results. The present invention combines a support vector machine, a residual improvement mechanism, and a lightweight detection structure Slim-Neck to achieve deep multi-dimensional mining of monitoring data without the need for a large number of samples, thereby significantly improving the diagnostic evaluation accuracy of the fault point monitoring data.

The present invention provides a smart air-conditioning system for high-speed multiple units. Each vehicle includes an early warning subsystem, a trend prediction subsystem, and a performance evaluation subsystem, which establish a model and conduct diagnostic evaluation on the health status of air-conditioning equipment, timely guide users to repair and dispose of problems, reduce vehicle failure rates; change the regular maintenance according to the health status diagnosis to condition-based maintenance, save unnecessary maintenance and repair, reduce operation and maintenance time, and lower operation and maintenance costs; establish a database for the entire life cycle and real-time diagnosis, and reduce the cost of the entire life cycle.

Systems and methods include a diagnostic evaluation environment that may provide probabilities of occurrence for one or more conditions based on evaluation of an input dataset. The probabilities may be based on multivariate evaluation of the input dataset against one or more pre-determined clinical metrics. In operation, a distributed environment may process the input dataset to visualize information for a given range and then provide probabilities and associated metric values for different occurrences and conditions to provide diagnostic support to treat one or more conditions.

The invention discloses a cross-specialist diagnosis evaluation method and a related device, and relates to the technical field of data processing, and the method comprises the steps: obtaining a target case text of a plurality of specialists related to pathogenesis and a corresponding candidate diagnosis set, employing a specialist evaluation model of each specialist, and carrying out the independent evaluation of the candidate diagnosis set according to the target case text, the method comprises the steps of obtaining a specialist assessment result of each specialist, performing cross-specialist collaborative assessment based on all the specialist assessment results to obtain a cross-specialist collaborative assessment result corresponding to each specialist assessment result, and generating a fusion assessment result according to all the cross-specialist collaborative assessment results. The fusion evaluation result is used for representing comprehensive confidence distribution of each candidate diagnosis in the candidate diagnosis set after cross-specialist collaborative evaluation. According to the method, the evaluation process consistent with the real consultation process is adopted, so that the fusion evaluation result can more accurately perform confidence evaluation on each candidate diagnosis in the candidate diagnosis set, and the interpretability of the evaluation process is higher.

Techniques are described that facilitate integrating artificial intelligence (AI) informatics in healthcare systems using a distributed learning platform. In one embodiment, a computer-implemented is provided that comprises interfacing, by a system operatively coupled to a processor, with a medical imaging application that provides for viewing medical image data. The method further comprises, facilitating, by the system, generation of structured diagnostic data according to a defined ontology in association with usage of the imaging application to perform a clinical evaluation of the medical image data. The method further comprises providing, by the system, the structured diagnostic data to one or more machine learning systems, wherein based on the providing, the one or more machine learning systems employ the structured diagnostic data as training data to generate or train one or more diagnostic models configured to provide artificial intelligence-based diagnostic evaluations of new medical image data.

The present disclosure provides a method of use thereof for improved diagnostic use, using genome-wide patterns of fragmented cell-free DNA (cfDNA) from plasma (derived by low-coverage whole-genome sequencing) analyzed in combination with specific clinical and demographic characteristics of individual patients. In particular, the present invention provides a novel and effective method for confirming the presence or absence of cancer in individual patients already suspected of having cancer.

A remote patient monitoring (RPM) system is disclosed that acquires blood pressure (BP) data from a BP monitor and enriches the data with contextual information obtained directly from the user during the measurement session. The BP monitor includes a display and input hardware for presenting questions and receiving predetermined responses that form contextual data associated with the BP data. The enriched BP data is transmitted to a server, which attributes a notification level using a correspondence database linking BP values and contextual data to notification levels or level variations. A remote monitoring interface, executed on a device used by a healthcare professional, displays the BP data in a display mode determined by the attributed notification level. The system reduces false alerts, improves triage efficiency, and provides clinically actionable information for diagnostic assessment in remote-care environments.

A portable medical device for diagnostic assessments, wherein the portable medical device comprises: a plurality of medical instruments each medical instrument including one or more sensors, wherein each sensor of the one or more medical instruments is configured to receive one or more samples from body of a person having information of that body; a processor to determine a plurality of parameters based on the information from the one or more samples; a memory unit operably connected to the processor and configured to store machine readable instructions, the processor obtaining the machine-readable instructions from the memory unit, and being configured by the machine-readable instructions to compare the determined the plurality of parameters with predefined parameters to thereby determine health related information of the human body based on the comparison.

We provide the system. [Solution] A location acquisition means for acquiring highly accurate location information, A communication means for transmitting collected driving behavior data, A data analysis means for analyzing received data and evaluating driving ability, An evaluation method for diagnosing driving ability based on analysis results, A means for generating reports that provide diagnostic results to the user, A reporting method for sending reports, A driving ability diagnostic system including...

Method and apparatus for performing automatic cardiac diagnosis. The apparatuses described herein may be handheld devices which enables self-recording of cardiac signals by the patient, including entering relevant data by patients regarding their cardiac history, including cardiac disease risk factors, and / or current conditions and symptoms. Based on recorded cardiac signals, cardiac risk factors and the current symptoms, the apparatus may calculates a cardiac risk score and may provide simplified diagnostic information and actionable instructions to the patient.