15 results about "Diagnostic evaluation" patented technology

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.

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.

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.

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.

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.

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...

The invention discloses an oil-impregnated paper sleeve diagnosis and evaluation method, system, medium and equipment, and the method comprises the steps: collecting multi-source data of an oil-impregnated paper sleeve, extracting characteristic parameters, and carrying out the preprocessing of the characteristic parameters, and the preprocessing comprises the filling of a missing value as NaN and the data cleaning; a rule base of the expert system is constructed, the rule base comprises preset fault diagnosis rules, and the rule form is that if the characteristic parameters meet threshold conditions, corresponding state evaluation is triggered, the preprocessed characteristic parameters are input into the expert system, the rules in the rule base are matched through an inference engine, and a fault diagnosis result and state evaluation are generated; outputting a graded early warning signal according to a fault diagnosis result, reinforcing monitoring when a fault in an incubation period is triggered, and stopping maintenance when a fault in a critical period is triggered; and optimizing rule base parameters by adopting a grid search method, adjusting rule weights by taking a test set F1 score greater than or equal to 0.85 as an objective function, and deploying the optimized rule base into an online monitoring system.

The invention discloses a pupil composition writing auxiliary method, which belongs to the technical field of educational informatization, and comprises the following steps: receiving composition task information input by a student, identifying whether the composition task information belongs to a proposition composition, a semi-proposition composition or a material composition, entering a corresponding guide process, and according to the identified question type, selecting a question from the question task information; a corresponding guiding strategy is adopted to help students to complete concepts, then the students independently complete compositions and submit the compositions, after the students submit the compositions, automatic analysis is carried out from four dimensions, a diagnostic evaluation report is generated, and based on the diagnostic evaluation report, a targeted improvement material package and a comparison model essay are provided for weak links. The students are guided to carry out contrastive reflection of the original text and the model essay, and the writing ability is improved; according to the composition writing auxiliary method for the pupils, independent thinking of the pupils can be protected, meanwhile, question type adaptive guidance and personalized weak point strengthening are provided, and the writing ability can be systematically improved.

In certain embodiments, an ophthalmic system and computer-implemented method for analyzing multiple spectral information to generate ophthalmic information are described. In an exemplary ophthalmic system, multiple spectral information associated with an eye of a patient is captured via an imaging system. A first set of information and a second set of information are extracted from the multiple spectral information. A visualization of the multiple spectral information is generated using the first set of information. The first set of information and the second set of information are evaluated using different deep learning models to generate ophthalmic information. The ophthalmic information is sent to a user for diagnostic evaluation.

The present disclosure provides methods of uses thereof for improved diagnostic applications using genome-wide patterns of fragmented cell-free DNA (cfDNA) from plasma, derived by low-coverage whole-genome sequencing, and analyzed in conjunction with certain clinical and demographic features of individual patients. In particular, the present invention provides new and effective methods for confirming the presence or absence of cancer in an individual patient already suspected of having cancer.