1523 results about "In patient" patented technology

A fluid management system for use in a tissue resection procedure includes a controller. An inflow pump is operated by the controller and configured to provide fluid inflow through a flow path to a site in patient's body. An outflow pump is operated by the controller and configured to provide fluid outflow through a flow path from the site in patient's body. A motor driven resecting device may be provided for resecting tissue at the site. The controller is configured to actuate an inflow pump and an outflow pump in response to various signals and various algorithms are provided to provide malfunction warnings and assure safe operation.

The present disclosure provides methods for the acute treatment of migraine with or without aura, comprising the administration of ubrogepant. In particular, the present disclosure provides methods for the acute treatment of migraine in patients having hepatic impairment; in patients with renal impairment; and in patients concurrently taking CYP3A4 modulators or BCRP and / or P-gp only inhibitors.

The invention relates to the technical field of disease risk assessment, in particular to a prediction support system for a high risk level of a sepsis patient. According to the abnormal degree of the physiological data in the abnormal time period of each category and the time interval between the abnormal time period and the adjacent abnormal time period, the importance degree of each category is obtained; selecting a feature category and a target time period based on the importance, and obtaining the severity of the target time period according to the importance difference between all categories in the target time period and the feature category and the number of categories with abnormal physiological data in the target time period; and acquiring a high risk value according to the change trend and the time interval of the severity of the target time period and the adjacent target time period, and adjusting and analyzing all types of physiological data in the time period by using the high risk value so as to predict the high risk of sepsis of the to-be-detected patient. According to the method, the difference of the physiological data in the time period in which the abnormal expression has the difference is dynamically expanded through the high-risk value, so that the accuracy of predicting the high-risk condition of sepsis is improved.

This specification describes systems and methods for performing endoscopy, obtaining medical images for inflammatory bowel disease (IBD) and scoring severity of IBD in patients. The methods and systems are configured for using machine learning to determine measurements of various characteristics related to IBD. The methods and systems may also obtain and incorporate electronic health data of patients along with endoscopic data to use for scoring purposes.

The present disclosure provides methods for the acute treatment of migraine with or without aura, comprising the administration of ubrogepant. In particular, the present disclosure provides methods for the acute treatment of migraine in patients having hepatic impairment; in patients with renal impairment; and in patients concurrently taking CYP3A4 modulators or BCRP and / or P-gp only inhibitors.

The invention relates to the technical field of cardiovascular medicine, in particular to an automatic alarm system for cardiovascular medicine, which comprises a biomarker analysis module, a physiological parameter analysis module, a cardiovascular risk assessment module, a cardiovascular early warning adjustment module and an alarm trigger notification module. According to the invention, by integrating real-time monitoring of blood biomarkers and cardiovascular physiological parameters, the early recognition capability of cardiovascular disease risks is improved, key biomarkers are dynamically measured and compared with historical marker data, and subtle physiological changes can be captured at the early stage of asymptomatic conditions, so that potential cardiovascular events are warned; through correlation analysis of electrocardiogram, blood pressure and pulse waveforms, the system can accurately draw a comprehensive image of cardiovascular functions, so that more targeted monitoring and intervention are implemented, timeliness and accuracy of medical response are ensured, doctors can formulate targeted monitoring schemes according to real-time data, and the monitoring efficiency is improved. Therefore, deterioration or occurrence of cardiovascular events of patients can be effectively prevented.

The present disclosure provides methods for the acute treatment of migraine with or without aura, comprising the administration of ubrogepant. In particular, the present disclosure provides methods for the acute treatment of migraine in patients having hepatic impairment; in patients with renal impairment; and in patients concurrently taking CYP3A4 modulators or BCRP and / or P-gp only inhibitors.

The invention discloses a longitudinal analysis-based lung cancer chemotherapy combined immunotherapy patient symptom prediction method, which comprises the following steps: S1, collecting a multi-modal medical data set of a patient, and carrying out data preprocessing; S2, carrying out time sequence integration on the preprocessed multi-modal medical data set to construct a longitudinal analysis data set; s3, constructing a symptom weight adaptive modeling method based on an attention mechanism; s4, forming a symptom-treatment causal relationship evaluation model; s5, inputting real-time multi-modal medical data of the patient into the symptom-treatment causal relationship evaluation model, and classifying prediction results; s6, generating an individual symptom risk assessment report of the patient according to a prediction result; s7, the clinician dynamically optimizes the chemotherapy dose, the immunotherapy dose and the drug use time of the patient based on the individualized symptom risk assessment report. The invention provides an effective technical means for accurately optimizing a lung cancer chemotherapy and immunotherapy combined scheme.

The invention provides a virtual reality rehabilitation training self-adaptive regulation and control method and system based on a heart flow double-mapping model, and the method comprises the steps: constructing the heart flow double-mapping model in advance, which comprises a patient data and heart flow state input mapping model and a task parameter and heart flow state output mapping model; collecting multi-dimensional data of the patient in virtual reality rehabilitation training in real time; the current cardiac flow state is calculated through the patient data and cardiac flow state input mapping model, if the current cardiac flow state does not reach the target cardiac flow state, the optimal task parameter combination is solved through the task parameter and cardiac flow state output mapping model under the medical rule constraint condition, virtual reality training task parameters are dynamically adjusted, and the target cardiac flow state is obtained. The heart flow state of the patient reaches the preset target. According to the method, through multi-dimensional data fusion and cardiac flow double-mapping model collaborative optimization, a high cardiac flow state of a patient can be accurately induced and maintained, and the participation degree and the curative effect of rehabilitation training are remarkably improved.

The present invention provides novel methods of initiating and escalating sotalol hydrochloride in patients in need thereof.

A portable therapeutic exercise device is disclosed for strengthening leg muscles in patients with severe muscular weakness after bedrest. The device features a lightweight, compact base with longitudinal rails and a moving carriage equipped with an adjustable footplate, cushion, and straps for secure engagement. Resistance cords provide variable tension, and a lumbar bolster with an adjustable strap stabilizes the base. A distance sensor and Bluetooth-enabled microcontroller relay real-time data to mobile devices for interactive visual biofeedback, including gaming applications. The carriage offers smooth linear motion via bearing wheels with adjustable spacers. Designed for use in hospital beds, chairs, or on the floor, the device provides a safe, adaptable, and engaging solution for rehabilitation exercises.

The invention discloses an intelligent early warning bracelet for epilepsy monitoring and a computing device, and the bracelet comprises a first processing module which is used for analyzing physiological signal data of a patient, and generating preliminary result data of epileptic seizure; the second processing module is used for identifying a potential epileptic seizure mode in the first data structure and generating a second data structure; the prediction analysis module is used for combining the prediction probability, the epileptic seizure risk score and the event triggering time into a third data structure; the risk grading module is used for carrying out risk grading on the epileptic seizure risk score to generate a fourth data structure; the early warning information generation module is used for generating a fifth data structure according to the size and the resolution ratio of the bracelet display screen; and the bracelet display module is used for sending the fifth data structure to a nurse wearing bracelet for vibration and flickering prompt. Warning of different degrees is given according to different risk levels, nurses can take measures in time, and epilepsy danger of patients is avoided.

The invention relates to a diabetic symptomatic ICAS prediction method and system based on machine learning. The method comprises the following steps: collecting an HRMRI image sample of a target patient; performing high-risk plaque feature analysis on the HRMRI image sample to obtain high-risk plaque features; performing image omics feature extraction and screening on the HRMRI image samples to obtain image omics features; based on an XGBoost algorithm, training the high-risk plaque features and the radiomics features to obtain a prediction model; and performing symptomatic ICAS attack prediction on a to-be-predicted patient through the prediction model to obtain a prediction result. The accuracy and the stability of the clinical model in predicting the new symptomatic intracranial atherosclerotic disease of the diabetic patient can be improved, and the clinical model adapts to individual specificity.

Disclosed herein are systems, media, and methods for medical report generation or evaluation. Natural language processing, computer vision, large language models, or other software may be used to facilitate accurate, efficient evaluation of contemporary or historical medical reports. The present disclosure may provide particular utility in patient health diagnostics, prognostics, treatment, or monitoring.

Disclosed herein are methods of treatment and methods of evaluating individuals to identify and measure biomarkers and / or states of the individuals indicative of drug responsiveness to one or more 5-HT receptor agonist.

The invention relates to a smart hospital collaborative diagnosis and treatment management method and system, and the method comprises the steps: receiving the appointment registration information of a patient, building a data mapping relation with a hospital information system based on the appointment registration information, and generating a corresponding treatment identifier; after the patient arrives at the hospital, information of the sign-in patient is collected, a sign-in sequence is established, and according to appointment registration information and diagnosis and treatment service data parameters corresponding to the sign-in patient, a treatment serial number is dynamically distributed and a waiting prompt is pushed; after the doctor receives the diagnosis, generating an examination item list based on the preliminary diagnosis information input by the doctor, obtaining the real-time state and queuing data of equipment required by each examination in the examination item list, constructing an execution time window of examination items, generating an optimal examination sequence, and pushing an examination guide path to the patient terminal; and after the patient finishes seeing a doctor, generating a personalized propaganda and education task list according to the diagnosis and treatment information of each stage, and pushing the personalized propaganda and education task list to the patient terminal. The method has the effect of improving the hospital operation efficiency.

The present invention discloses an AI-based automatic acupoint recognition and positioning system and method, the system comprises an AI server, an image acquisition device, a body shape recognition and comparison module, an AI acupoint recognition module and an acupoint projection module; the AI ​​server is used to establish at least one sample model according to a pre-collected three-dimensional image of a human body shape, wherein the three-dimensional image of the human body shape contains acupoint marking points of various parts of the human body; the image acquisition device is used to collect a three-dimensional target image of the patient's body shape when the positions of various acupoints on the patient's body need to be positioned; the body shape recognition and comparison module is used to compare the three-dimensional target image with multiple three-dimensional images of human body shapes of at least one sample model in the AI ​​server to determine whether the three-dimensional target image can match the size ratio of any three-dimensional image of human body shape; the AI ​​acupoint recognition module uses the matched three-dimensional image of human body shape as a reference to determine the positions of acupoints of various parts of the patient's body; the acupoint projection module is used to project the acupoint marking points of various parts of the human body displayed by the matched three-dimensional image of human body shape to various positions on the patient's body skin surface. Effect: AI technology can quickly and accurately locate acupoints, can adapt to different groups of people, can realize the visualization and intuition of acupoint positioning, and can more easily help people who need to quickly and accurately locate acupoints.

The present disclosure provides methods for the acute treatment of migraine with or without aura, comprising the administration of ubrogepant. In particular, the present disclosure provides methods for the acute treatment of migraine in patients having hepatic impairment; in patients with renal impairment; and in patients concurrently taking CYP3A4 modulators or BCRP and / or P-gp only inhibitors.

The present disclosure provides methods for the acute treatment of migraine with or without aura, comprising the administration of ubrogepant. In particular, the present disclosure provides methods for the acute treatment of migraine in patients having hepatic impairment; in patients with renal impairment; and in patients concurrently taking CYP3A4 modulators or BCRP and / or P-gp only inhibitors.

The invention belongs to the technical field of stomatology, and particularly relates to an upper jaw fixing expansion appliance which comprises a spiral expansion device, a plastic base, a connecting rod, a retention device and a dental retraction traction hook. The spiral expander is positioned in the center of the appliance, and the plastic base plate is two parts which are separated from each other in the center and connected with the spiral expander and covers the hard palate part of the upper jaw. The retention device is composed of a milk molar or premolar casting continuous belt ring and a first molar independent casting belt ring. And the left and right dental retraction traction hooks are positioned in the plastic base and are used for retracting and pressing the first molar of the upper jaw of buccal inclination after the expansion of the arch. The appliance disclosed by the invention is wide in clinical application range, and is suitable for light and moderate teenager patients with lateral maxillary development insufficiency and maxillary posterior tooth buccal inclination compensation. According to the invention, a good bony expansion effect can be realized for patients in a replacement dentition stage or a permanent dentition early stage and patients in rapid maxillary expansion, and excessive buccal inclination and movement of teeth are reduced.

A wound care treatment platform and application employs a mobile device and application (“app”) for on-site capture and gathering of wound images from a patient. The mobile device is in wireless communication with a database including health records and data and trained models of wound image classification. Based on a patient image of a wound under care, the image is analyzed for features indicative of wound health and healing progress. The mobile device invokes a plurality of models for providing an accurate and consistent assessment and treatment recommendation, including evaluating the sufficiency of the patient image gathered by the mobile device, normalizing the patient image for adverse or irregular lighting, common in patient dwellings, adjusting for a distance and angle at which the caretaker obtained the image, computing a comprehensive score of wound healing, and rendering an evaluation for referral or continuance of current outpatient care.

The invention discloses a lung squamous cell carcinoma survival probability prediction system fusing multiple models, and relates to the technical field of medical data analysis. Comprising a data acquisition module used for acquiring a lung squamous carcinoma clinical data set and an inspection index of a patient; the data preprocessing and dynamic feature table construction module is used for preprocessing the lung squamous cell carcinoma clinical data set in existing data processing and dynamically updating a physiological feature information table; the model training and predicting module is used for carrying out training and online prediction on various survival analysis models; and the SHAP interpretation and weight calculation module is used for calling a corresponding SHAP algorithm to obtain an average absolute SHAP value of each input feature. According to the method, model interpretation conflict measurement, invalid variable elimination and pseudo high risk verification are provided, and automatic arbitration or artificial recheck is realized through weighted scoring, so that the reasonability and safety of prediction and intervention suggestions are ensured, the decision risk is reduced, and the clinical trust is enhanced.

Described herein, in part, are methods of treating cancer in patients in need thereof, comprising administering to the patient a VPS34 inhibitor and one or more additional therapeutic agents, such as a STING agonist.

A wound care treatment platform and application employs a mobile device and application (“app”) for on-site capture and gathering of wound images from a patient. The mobile device is in wireless communication with a database including health records and data and trained models of wound image classification. Based on a patient image of a wound under care, the image is analyzed for features indicative of wound health and healing progress. The mobile device invokes a plurality of models for providing an accurate and consistent assessment and treatment recommendation, including evaluating the sufficiency of the patient image gathered by the mobile device, normalizing the patient image for adverse or irregular lighting, common in patient dwellings, adjusting for a distance and angle at which the caretaker obtained the image, computing a comprehensive score of wound healing, and rendering an evaluation for referral or continuance of current outpatient care.

The invention relates to a biomarker for predicting the curative effect of non-small cell lung cancer immunotherapy and application of the biomarker. The biomarker for predicting the curative effect of the non-small cell lung cancer immunotherapy, disclosed by the invention, comprises phosphoglycerate kinase 1 (PGK1), chromogranin A (CHGA), elastin (ELN), heterogeneous ribonucleoprotein H3 (HNRNPH3) and SERPINE1 mRNA binding protein 1 (SERBP1). The biomarkers for predicting the non-small cell lung cancer immunotherapy curative effect can be detected by adopting a mass spectrum method, and the non-small cell lung cancer immunotherapy curative effect of a patient is judged by the markers.

The invention provides a patient state auxiliary judgment and posture adjustment method, device and system, and relates to the technical field of medical equipment. The method comprises the following steps: acquiring real-time state data of a patient; generating a three-dimensional posture model and emotion parameters of the current body posture of the patient based on the real-time state data; according to the difference degree of the preset target posture and the three-dimensional posture model, a posture adjustment instruction is generated in combination with a manual adjustment instruction of a doctor; and based on the posture adjustment instruction, prompting the patient to adjust the posture until the difference degree is smaller than a preset threshold value and the emotion parameters are in a target emotion range and lasts for a preset duration, and confirming that the patient completes examination preparation. Through the technical scheme provided by the invention, the problems that accurate state judgment is difficult to obtain and posture auxiliary adjustment cannot be performed on the patient before the patient is examined are solved, the accuracy of state perception of the patient and the efficiency of posture adjustment are improved, and the examination experience of the patient is improved.

The present disclosure provides methods for the acute treatment of migraine with or without aura, comprising the administration of ubrogepant. In particular, the present disclosure provides methods for the acute treatment of migraine in patients having hepatic impairment; in patients with renal impairment; and in patients concurrently taking CYP3A4 modulators or BCRP and / or P-gp only inhibitors.

The invention relates to the technical field of sleep medical diagnosis, and discloses a method for diagnosing obstructive sleep apnea of a patient. The method comprises the steps that nasal pressure airflow, thoracico-abdominal breathing effort and blood oxygen saturation waveform of all-night sleep are obtained, and standardized signal flow is generated through quality evaluation and compensation. And executing sleep stage perception respiratory event analysis, and outputting an event sequence with a time sequence and a type label. And inputting the sequence into an apnea association network for event chain mining and mode extraction, and generating an event association graph and a key pathological feature vector. And performing severity grading of sleep structure dependence, outputting severity indexes of sleep stages, and finally deducing a personalized treatment path. According to the method, the accuracy of event interpretation is improved by sensing the sleep stages, the dynamic mode between the events is mined by using the association network, and more refined diagnosis is realized.

High frequency stimulation for treating sensory and / or motor deficits in patients with spinal cord injuries and / or peripheral polyneuropathy, and associated systems and methods. A representative method includes addressing the patient's somatosensory dysfunction and / or motor dysfunction, resulting from neuropathy and / or spinal cord injury, by directing an electrical therapy signal to the patient's spinal cord region, the therapy signal having a frequency in a frequency range from 1.5 kHz to 100 KHz.

The present disclosure provides methods for the acute treatment of migraine with or without aura, comprising the administration of ubrogepant. In particular, the present disclosure provides methods for the acute treatment of migraine in patients having hepatic impairment; in patients with renal impairment; and in patients concurrently taking CYP3A4 modulators or BCRP and / or P-gp only inhibitors.