52 results about "Health screening" patented technology

The invention discloses a digital human intelligent inquiry method and system for teenager emotion health assessment, and relates to the technical field of intelligent inquiry, and the system comprises a questionnaire management module, a digital human presentation module, a voice recognition module, a large language model module, a dynamic jump logic control module and a report generation module. The method comprises the steps that a standard questionnaire for teenager emotion health screening is loaded and analyzed, natural language answers of teenagers are converted into text data through a voice recognition module, deep semantic analysis is conducted on the answer content through a large language model, and intelligent diagnosis and judgment of the teenager emotion state are achieved; meanwhile, the system is combined with screening logic to dynamically adjust the inquiry process, through the character-to-voice and mouth shape synthesis technology, multi-round interaction with teenagers is carried out through a personified digital doctor image, and the screening process is completed step by step; according to the method, efficient grading screening of teenager emotion problems can be realized, and real-time feedback and personalized intervention suggestions are provided.

The invention provides a livestock body size measurement method and system, computer equipment and a storage medium, and belongs to the field of computer three-dimensional visual point clouds, and the method comprises the steps: segmenting automatically collected point cloud data of livestock into a plurality of parts through a three-dimensional point cloud segmentation technology; the segmented point cloud is combined with the physiological features of the livestock to accurately position the key points of body size measurement. In order to improve the key point positioning precision, the invention provides a novel key point detection method which comprises the steps of coordinate normalization, key point cluster acquisition, key point optimization and edge detection. By means of the method, key point deviation and measurement errors possibly occurring in the body size measurement process are effectively reduced. According to the method, non-contact, rapid and accurate livestock body size parameter measurement is achieved, and the method has important application prospects in the fields of gene improvement, health screening, animal welfare evaluation and the like. Experimental results show that the method has high accuracy and robustness, and can significantly improve the efficiency and precision of body size measurement.

The present invention provides a method for establishing a hyperuricemia prediction model using a machine learning algorithm, which belongs to the field of health assessment technology. The embodiment of the present invention uses a UKBB cohort based on a large population as training, and uses an internal test set and a dataset of healthy physical examinees from Southern Hospital as an external test set to establish and verify a reliable and practical stacked multimodal machine learning model trained based on genetic and clinical data, which is used to timely identify HUA phenotypes and early predict gout and metabolic-related outcome risks. The model has excellent performance, exceeding each single machine learning model, and shows satisfactory efficacy. The ISHUA marker can quantify gout risk and metabolic-related results at an early stage, can provide active guidance for daily health examinations and the management of risk factors, and provide valuable information support for clinicians to appropriately manage HUA risk factors after routine health screening.

A healthcare shopping and management system is disclosed herein which assists users in searching for medical providers based on insurer-negotiated pricing, directly scheduling appointments, making payments, aggregating personal health records, and utilizing analytics to suggest preventative health screenings. The system architecture includes interfaces for searching, scheduling, paying, health records access, geolocation of providers, cost ratings, and an analytics engine leveraging clinical guidelines. Database schema and data models as well as example user interfaces are also disclosed.

The invention relates to a tooth health primary screening method and device based on image recognition, equipment and a medium. The method comprises the following steps: based on acquired tooth multi-source image data, carrying out image preprocessing on the tooth multi-source image data to obtain preprocessed tooth image data; extracting multi-scale tooth features from the preprocessed tooth image data to obtain tooth feature map data; performing multi-feature fusion processing on the tooth feature map data to obtain fused tooth feature data; on the basis of the fused tooth feature data, combining a preset tooth anatomical structure template, performing feature region division and mapping to obtain tooth region feature data; performing health condition analysis on the tooth region feature data to obtain tooth health condition data; and generating a tooth health screening result according to the tooth health condition data. By adopting the method, multi-modal information can be fully mined, and the comprehensiveness and accuracy of preliminary screening are improved.

The present invention relates to a multimodal recognition device for realizing health screening based on eye imaging and eye movement tracking, comprising a desktop end and a remote end, wherein the desktop end comprises: an image acquisition unit, which is arranged in the first screen display unit and acquires image information and eye movement information of the patient's eye along a first direction, wherein the image information comprises: an iris image, an eye surface image, an eye fundus image, and an eye position image; a first control unit, which recognizes the identity of the user in real time according to the iris image, and determines the health status of the user according to the eye surface image, the eye fundus image, the eye position image, and the eye movement tracking information. By acquiring the patient's iris image, real-time iris recognition and identity authentication are performed to ensure that the patient is always the same person, thereby improving the effectiveness of health screening. By acquiring the patient's eye surface image, the eye fundus image, the eye position image, and the eye movement data, the patient's health status is analyzed from multiple modalities to ensure the diversity and accuracy of health screening.

Exemplary embodiments of the present disclosure are directed towards artificial intelligence-based system for automated preventative health screening and data-driven health risk analysis. The system integrates Generative AI with the CDC's Syndemic Model to enable anonymous, stigma-free health screening and care linkage. The system leverages oral health as neutral entry point to assess interconnected risks across sexual, mental, and behavioral health domains. Using Large Language Models trained on validated sources and AI-based image analysis of oral and skin abnormalities, system computes “Chance screening Scores” to classify risks for communicable (e.g., HIV, STIs, Mpox) and non-communicable diseases (e.g., diabetes, hypertension). Accessible through mobile apps / QR codes without requiring login, system generates Unique IDs for test kits, telehealth services, and rewards. Features include actionable recommendations, gamified Stigma Meter, geographic insights, language translation, and data control options. This innovative solution fosters informed decision-making, reduces stigma, and empowers users to manage their health confidentially and effectively.

The present invention discloses a 3'-terminal-2'-O-methylation modified miRNA marker combination related to gastric cancer diagnosis and its application. The 3'-terminal-2'-O-methylation modified miRNA combination at least includes: miR-451, miR-1 and let-7f. The combination of the markers of the present invention for clinical detection of gastric cancer has the characteristics of being economical, rapid, sensitive and specific. It can be used for a wide range of health screening and has good application prospects.

1. The name of the product of this design: reagent product packaging box. 2. Purpose of this design product: used for in vitro diagnostic and health screening packaging reagent products. 3. The design key point of this appearance design product lies in the combination of shape and pattern. 4. The picture or photo that best illustrates the key points of the design: main view. 5. The bottom view of this design product is not common, so it is omitted.

An Hg < 2 + > electrochemical detection kit based on a T-Hg < 2 + >-T coordination mediated entropy driven amplification system comprises a plurality of functional chains and TDN probe skeleton chains used for synthesizing an entropy driven tetrahedron DNA reaction loop system, the functional chains comprise auxiliary chains S1, S2, initiation chains T and signal chains S, and the four chains of TDN probes comprise a Tetra-A chain, a Tetra-B chain, a Tetra-C chain and a Tetra-D chain. According to the detection method of the electrochemical detection kit based on the T-Hg < 2 + >-T coordination-mediated entropy-driven amplification system, high-specificity capture of Hg < 2 + > is realized by accurately designing the T-T mismatch number and spatial orientation of TDN vertex probes; a single Hg < 2 + > binding event is converted into hundreds of signal molecules to be output by utilizing a multi-stage cyclic amplification function of the EDC; the portable characteristic of the screen-printed electrode is combined, and a sensing platform integrating sampling, detection and analysis is constructed. The detection limit is promoted to 38 fM, the recovery rate of 98.2% in clinical blood samples is achieved, and a breakthrough tool is provided for environmental monitoring and occupational health screening.

This invention discloses an industrial data security risk assessment method and system, relating to the technical field of industrial risk. By classifying sick leave reasons and constructing a set of disease types, and combining attendance data, a contagious disease risk index (Cfxs) is generated. This index helps enterprises quickly assess the potential risks of employee sick leave and infectious diseases, providing a basis for targeted preventative measures. Time series analysis is used to further evaluate the impact of different sick leave types on the contagious disease risk index, obtaining a correlation coefficient (Gxxs). Preliminary health screening using this correlation coefficient enables dynamic monitoring of employee health status within the industrial park and early identification of potential health abnormalities. When abnormalities occur, a timely regional restriction order is issued.

The invention relates to the technical field of short-distance and long-distance eye position and AC / A detection, and discloses a portable short-distance and long-distance eye position and adjustability set-adjustment ratio screening instrument which integrates a first mode, a second mode and a third mode, the first mode is long-distance eye position detection, the second mode is short-distance eye position detection, and the third mode is AC / A ratio detection; the screening instrument is of a binocular telescope structure, and a set of fixed separation prisms, a set of rotatable annular prisms and a set of + 1.00 D spherical lens additional system are arranged on the binocular telescope structure. A distance conversion system, a sighting mark projection module and a control button. The screening instrument has the characteristics of portability, operability and low cost, is suitable for daily detection of individuals and medical institutions, has a modular structure, is convenient to clean and maintain, and ensures the sanitation of the detection process and the reliability of data. The screening instrument is also suitable for being popularized and used in community health general survey, and provides a reliable auxiliary tool for visual function health screening.

The embodiment of the utility model relates to the technical field of screening pavilions, and provides a movable health screening pavilion capable of being rapidly disassembled and assembled, the movable health screening pavilion comprises a box body, the box body is provided with a box door capable of being opened and is further provided with a glass window, and the box door and the glass window are oppositely arranged; the seat is arranged on one side of the glass window in a sliding mode and can be close to or away from the glass window after sliding; the fixed table plate is arranged on one side of the glass window and located between the seat and the glass window; the lifting table plate is arranged in the box body in a lifting mode and located between the box door and the seat, the lifting table plate at least has a use state and a folded state after being lifted, when the lifting table plate is in the use state, the height of the lifting table plate is consistent with the height of the fixed table plate, and when the lifting table plate is in the folded state, the lifting table plate is lifted upwards, and people can pass through the lower portion of the lifting table plate. By means of the technical scheme, the technical problem that in the prior art, a mobile health screening pavilion is large in size is solved.

The invention discloses a sole health screening method, and belongs to the technical field of sole screening, and the method comprises the steps: firstly standing on an optical sole mirror, distinguishing a contact part and a non-contact part of a sole and a transparent glass surface, namely obtaining a sole mark map by adopting the optical sole mirror, collecting the sole mark map through a camera, and uploading the sole mark map to a cloud end; performing image processing on the collected image, and segmenting a whole sole area to obtain a sole processing image; marking the foot sole processing graph, and independently marking the contact part of the foot sole and the transparent glass surface to obtain a foot sole marking graph; standing on the plantar pressure detection plate again to obtain a plantar pressure distribution diagram, and uploading the plantar pressure distribution diagram to the cloud; and carrying out image alignment on the plantar marking graph and the plantar pressure distribution graph, and adjusting the plantar pressure distribution graph by taking the plantar processing graph as a reference. The problem of foot arch misjudgment caused by inaccurate pressure plate detection data is effectively avoided, and the foot sole mark graph is introduced to correct the data, so that the detected foot arch data is more accurate.

The invention provides wearable non-invasive lung function monitoring equipment, system and device based on impedance imaging and a medium. The wearable non-invasive lung function monitoring equipment, system and device based on impedance imaging have the advantages that limitation of traditional equipment is overcome, complex operation of a patient is not needed, subjective interference is reduced, and imaging and function testing can be integrated to complete comprehensive lung function evaluation; 2, the device is highly portable and wearable, is extremely miniaturized and is suitable for multiple scenes, and the flexible sensor belt is comfortable and stable to wear; intelligence and interconnection are achieved, real-time remote medical treatment can be achieved through cloud data sharing, and the early diagnosis and management efficiency of diseases is improved in combination with the AI technology; the method can be applied to multiple scenes, and a high-value scheme is provided for chronic disease management, postoperative rehabilitation, health screening and the like; intelligent interaction and platform integration are supported, real-time online communication between doctors and patients is facilitated, and the hospital is assisted to improve diagnosis and treatment efficiency; and 6, personalized health management and diagnosis optimization are promoted, precise health prediction and intervention suggestions are given by depending on an AI algorithm, and a dynamic analysis tool is also provided to jointly manage the health trend and improve the treatment effect.

The invention relates to the technical field of expiration detection, in particular to an expiration detection method and device based on passage division of four metal oxide gas sensors. According to the method, four metal oxide gas sensor channels are adopted, and a metabolic energy and substrate switching channel, an inflammation and oxidative stress channel, a volatile organic compound exposure and abnormal metabolic mode channel and a quality control and stability channel are respectively fixed and correspond to the metabolic energy and substrate switching channel, the inflammation and oxidative stress channel, the volatile organic compound exposure and abnormal metabolic mode channel and the quality control and stability channel; an expiration signal of the same mouth is mapped to response axes of the four channels, and the system outputs the relative state of each channel instead of a disease diagnosis conclusion; and the quality control and stability passage is used for judging the qualification of the expiration sample and whether a detection result is allowed to be output or not. By adopting the method and the corresponding device, the sensors and the physiological risk pathways can be in one-to-one correspondence, binding of a single sensor or a single substance to a specific disease is avoided, improvement of interpretability, expansibility and compliance is facilitated, and the method and the corresponding device are suitable for expiration risk environment assessment and health screening equipment.

The invention discloses an accurate early warning auxiliary diagnosis model system based on high-risk HPV positive, and relates to the technical field of medical diagnosis, according to the accurate early warning auxiliary diagnosis model system based on high-risk HPV positive, by obtaining the relevance and action intensity of conventional blood and urine test indexes and high-risk human papilloma virus (HR-HPV) infection, the accurate early warning auxiliary diagnosis model system based on high-risk HPV positive can be used for early warning of high-risk human papilloma virus (HR-HPV) infection. A basis is provided for deep research in the field; an HR-HPV infection positive early warning model taking health screening big data as a basis and hematuria biological indexes as elements is formed, and the problems that HPV detection depends on subjective judgment of doctors or active selection of clients, an accurate measurement basis is lacked, and the screening coverage rate is not enough are solved. Therefore, a simple, convenient, rapid and economical means is provided for gynecological evaluation, reliable indications are provided for HPV detection, the screening efficiency is improved, and help is provided for prevention of HPV infection and cervical diseases.

The invention belongs to the field of health screening instruments, and particularly relates to an exercise prescription health screening system based on pulse rest. The system comprises an acquisition module, a processing module and a regulation and control module. The acquisition module comprises a hanging ring, and the hanging ring is made of a silica gel material; a pulse sensor is arranged in the hanging ring, and the pulse sensor is a piezoelectric sensor; a plurality of airflow sensors are fixedly arranged on the right side of the pulse sensor in the hanging ring, and the airflow sensors are MEMS microphones; pressure sensors are evenly distributed on the surface, making contact with the neck, of the hanging ring. A gyroscope for collecting three-axis acceleration is arranged in the hanging ring, and the pulse sensor is used for collecting pulse data of the neck of a user. According to the scheme, the collection module, the processing module and the regulation module cooperate, the limitation of the prior art is broken through, and the problem that exercise prescription health screening is inaccurate due to the fact that physiological signals are easily disturbed by behaviors of a user when collected at the neck part is solved.

This invention discloses a method and system for perioperative follow-up management of renal biopsy, relating to the fields of medical information processing and health screening technology. It acquires basic patient information, symptom information, and test report images; performs layout parsing and field recognition on the test reports to generate structured indicator data; performs discrete coding, interval mapping, and classification labeling on multi-source data to construct a set of indicator units; identifies major risk sources through type-based grouping and normalization, threshold screening based on contribution values, and sorting; calculates the total risk score and determines the risk level, generating risk labels; dynamically adjusts monitoring items, behavioral constraints, and medication management content based on risk labels to form an individualized postoperative management plan; simultaneously generates follow-up time nodes based on risk levels and executes reminder scheduling; and combines doctor-patient interaction records to achieve follow-up status tracking and data statistical analysis. This invention achieves closed-loop processing of perioperative risk assessment and follow-up management.

The application provides a livestock body size measurement method, system, computer device and storage medium, and belongs to the field of computer three-dimensional vision point cloud. The method divides the automatically collected point cloud data of livestock into multiple parts through three-dimensional point cloud segmentation technology. The segmented point cloud is combined with the physiological characteristics of livestock to accurately locate the key points of body size measurement. In order to improve the accuracy of key point positioning, the application proposes a novel key point detection method, including coordinate normalization, key point cluster acquisition, key point optimization and edge detection. Through the above method, the key point deviation and measurement error that may occur in the body size measurement process are effectively reduced. The application realizes non-contact, fast and accurate livestock body size parameter measurement, and has important application prospects in the fields of genetic improvement, health screening and animal welfare evaluation. Experimental results show that the method has high accuracy and robustness, and can significantly improve the efficiency and accuracy of body size measurement.

The invention relates to the field of plasma cell diseases, in particular to an intelligent plasma cell disease massive health screening comprehensive system and a dynamic layered management method. The method provided by the invention comprises the following steps: S101, acquiring medical information data; s102, dividing the dynamic management levels of the subjects into first level, second level, third level or fourth level; s103, judging whether the number of the effective indexes is qualified or not; s104, analyzing whether a conflict index combination exists or not; s105, analyzing whether the medical information data is complete for the first classification or not; s106, analyzing the acceptable degree of the medical information data; and S107, generating checking priority prompt information. According to the invention, a wider range of target subjects can be included in the dynamic management range of the system in a low-threshold manner, a clear dynamic management grading and hierarchical comprehensive management mode is carried out on the target subjects, and the system is suitable for application scenes such as large health screening and the like.

1. The name of the design product: digital AI visual health screening instrument. 2. The use of the design product: for ophthalmic examination. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention is an AI-driven health screening system for early detection of cancers, cardiovascular diseases, and type 2 diabetes. It integrates multiple screening methods, using machine learning, deep learning, and natural language processing to analyze genetic and health data. A federated learning framework ensures high prediction accuracy while maintaining data privacy. The system also employs a blockchain-based electronic health record (EHR) for secure data management. AI models, including neural networks and support vector machines, assess risk factors and provide personalized healthcare recommendations. Designed with a three-tier architecture, it supports deployment as a web service, software, or integration into existing programs. The system enhances early disease detection, optimizes healthcare resources, and improves patient outcomes by offering a scalable, efficient, and non-invasive screening solution.

The invention discloses an artificial intelligence assisted spine health monitoring system, and belongs to the technical field of health monitoring equipment, and the system comprises a spine health monitoring suit module which is used for collecting spine three-dimensional motion signals when a subject executes different spine motion modes; the artificial intelligence module is used for analyzing the spine three-dimensional motion signal based on a deep learning algorithm so as to judge the health condition of the subject; the cloud center management module is used for storing the spine three-dimensional motion signals collected by the spine health monitoring suit module and the health condition judgment result, obtained by the artificial intelligence module, of the subject; and generating health monitoring data of the subject. The technical problems that an existing spine health screening technology is low in screening sensitivity, poor in monitoring continuity and low in intelligent degree can be solved.

This application relates to the field of medical data processing, proposing a medical data processing method, related apparatus, and storage medium. The method includes: acquiring electronic health records, genomic data, family medical history, lifestyle and behavioral data, and environmental exposure data of a target user within a preset time window; determining the target user's temporal characteristics, static baseline characteristics, and interaction characteristics; predicting the risk value of the target user for a target disease in multiple future time periods; determining the risk gradient value of the target user for the target disease in each future time period; and determining a health screening strategy for the target disease based on the risk value and risk gradient value of the target disease in multiple future time periods. This application predicts the future risk value and risk gradient value of the target disease using multimodal data of the target user, and formulates targeted health screening strategies, fully considering individual differences. The formulated health screening strategies are more tailored to each individual's actual situation.

The invention discloses a mid-infrared spectrum-based obese infant early diabetes risk screening method and system, and belongs to the technical field of combination of medical detection and infrared spectrum, the mid-infrared spectrum-based obese infant early diabetes risk screening system comprises a micro-fluidic chip used for performing serum separation and protein enrichment deposition on dropped tissue peripheral blood of a patient, serum samples rich in different proteins are obtained; the mid-infrared spectrometer is used for carrying out in-situ mid-infrared spectrum acquisition on the blood sample to obtain spectrum data; and the risk screening module is used for preprocessing the spectral data, inputting the preprocessed spectral data into a risk prediction model to carry out pre-diabetic risk prediction on the obese children, and carrying out pre-diabetic risk screening according to a risk prediction probability value. The technical scheme is clear in structure, standard in step and suitable for large-scale children health screening and basic-level chronic disease management.

The present invention discloses a toilet cover for infrared imaging health screening, comprising an upper cover of a toilet cover, a first connecting arm, a second connecting arm, a third connecting arm, a height adjustment mechanism, a foot pad, and a health inspector. A seat ring is arranged on the toilet seat, and a rear end of the seat ring is provided with an upper cover of a toilet cover. A health inspector is arranged at the inner middle part of the upper cover of the toilet cover, and the health inspector comprises an infrared camera thermal imaging device and a communication device. The present invention has a folding connection mechanism, and the folding connection mechanism adopts a multi-section connecting arm structure. The length of the load-bearing support foot can be adjusted, and the height of the foot pad can be adjusted accordingly, thereby changing the height difference between the foot pad and the seat ring, which is convenient for use by the elderly and children and easy to promote. A health inspector is arranged at the inner middle part of the upper cover of the toilet cover, and the health inspector comprises an infrared camera thermal imaging device and a communication device, so that the equipment has a health inspection function and better safety performance.

The application relates to the technical field of AI large models, and discloses a health information management method and system based on an AI large model, which comprises the following steps: performing feature fusion coding on health screening information collected by a health screening device to obtain a fusion feature vector; performing health portrait coding through an AI large model to obtain a user health portrait vector and perform clustering and typing to obtain a crowd typing category; screening candidate health products through a conditioning product matching score model based on the user health portrait vector and the crowd typing category to obtain a health product recommendation list; and generating a physiotherapy conditioning scheme configuration package based on the user health portrait vector and issuing the physiotherapy conditioning scheme configuration package to surrounding physiotherapy equipment to complete remote presetting. The application solves the problem that traditional Chinese medicine diagnosis data and western medicine physiological indexes cannot be jointly modeled in the prior art, and makes the health portrait capable of comprehensively reflecting the comprehensive health status of a user.

The utility model discloses physique measuring equipment capable of being used as an information interaction sharing center, which comprises a physique measuring instrument and a cloud platform, and is characterized in that the physique measuring instrument comprises a height measuring unit for acquiring the height value of a user through ultrasonic waves, and the height value can be accurate to 1mm; the body weight measuring unit is used for acquiring the body weight value of the user by using a resistance strain type pressure sensor, and the accuracy is 0.01 Kg; according to the utility model, the one-to-many / many-to-many Bluetooth communication unit or the WIFI unit is arranged to create a local information interaction center, so that the physique measuring instrument can be used as a working base station, and a plurality of devices can be added to items with slow measuring speed in the same type through the function of the data interaction center, thereby realizing the purpose of improving the efficiency; the physical fitness measuring instrument uploads detection data of the equipment and all detection data of the equipment connected with the local area network to the cloud platform through a WAN port or a WIFI Internet of Things module, and the intelligent Internet of Things technology is applied to large-batch multi-project multi-cross health screening activities.

The invention discloses a quality control method and device for eye health screening data, equipment and a medium. The method comprises the steps of obtaining initial eye health screening data of a to-be-detected target; carrying out integrity verification and accuracy verification on the basic identity information; performing index accuracy verification on eye health index data in the first eye health screening data; obtaining each index value in the second eye health screening data, and determining to-be-judged eye health index data according to each index value and a preset index relationship; correcting the to-be-judged eye health index data which do not pass the judgment; and inputting the third eye health screening data into the pre-training prediction model to screen the eye health screening data of the to-be-detected target. Error data can be prevented from entering the central database, and the purity and consistency of the data are further guaranteed. Data errors are controlled in a screening site, diffusion and amplification of error data are avoided, and accuracy and reliability of the data are guaranteed.