4 results about "Clinical course" patented technology

The present invention relates to an artificial intelligence model and an implementation method therefor, which are capable of selecting and extracting, from CT images of patients with IgA nephropathy, image features significant for prognostic prediction and applying same to a machine learning model to thereby predict, with high accuracy, the likelihood of the patients with IgA nephropathy progressing to end-stage renal failure within five years. The present invention provides a prognostic prediction model that rapidly predicts the prognosis of a patient without an invasive kidney biopsy, overcomes the limitations of conventional pathology diagnosis relying on invasive methods, and enables periodic prognostic evaluation with significantly improved reliability. In addition, the present invention is capable of precisely reflecting characteristics of each item and accurately predicting a clinical course of a patient, by combining various feature selection methods and binary classifiers for each item of mesangial hypercellularity (M), endothelial hypercellularity (E), segmental glomerulosclerosis (S), and tubular atrophy / interstitial fibrosis (T), which constitute a MEST score.

The invention discloses a medical term analysis method based on a knowledge graph technology, and the method comprises the following steps: obtaining medical standard literatures of different time versions, and constructing a medical term knowledge graph sequence containing time dimension information; based on the medical term knowledge graph sequence, calculating semantic representation changes of the target medical term at different time points to obtain a semantic evolution path of the target medical term; acquiring clinical disease course data related to the target medical term; based on a statistical significance test method, calculating the support degree of the clinical disease course data to emerging semantics in the semantic evolution path, and generating a quantitative verification result; and dynamically updating and optimizing the medical term knowledge graph sequence according to the quantitative verification result. According to the method, prospective active perception and accurate verification of emerging semantics are realized, and the maintenance mode of the knowledge graph can be converted into active optimization from post passive updating, so that potential medical risks caused by indefinite term evolution are effectively reduced.

The application discloses an intelligent anus fistula analysis system and method based on artificial intelligence, and belongs to the technical field of intelligent anus fistula analysis, and comprises a multi-source data collection unit, a data preprocessing unit, a segmentation processing module, a local lesion feature enhancement unit, a multi-modal feature extraction unit, a time-frequency joint processing unit, a phased feature optimization unit and an efficacy evaluation unit.The application can comprehensively depict anus fistula lesion healing characteristics, and improve the objectivity and comprehensiveness of efficacy evaluation.The application can accurately separate and respectively depict long-term healing trend and short-term local stress fluctuation of the lesion, so that the efficacy evaluation is more in line with the real clinical course law.The application introduces a phased feature optimization mechanism in combination with the whole cycle treatment stage of the anus fistula, can perform fine quantitative evaluation at different treatment stages, and realizes phased efficacy analysis on patients.

The invention discloses an intelligent traditional Chinese medicine packet treatment system based on multi-physics field dynamic coupling, a preparation method and a regulation and control method, and relates to the technical field of intelligent traditional Chinese medicine instruments. The far infrared bag comprises a graphene heating sheet and a double-PID temperature control module; the composite magnetic therapy bag contains Al2O3 core-shell structure neodymium iron boron particle magnetic powder formed by plasma vapor deposition; the four-point magnetic coupling positioning mechanism is composed of an annular N-S pole alternating magnetic snap group and a Hall sensor array; and the biocompatible isolation cloth is assembled on the human body contact side of the composite magnetic therapy bag and is used for isolating the composite magnetic therapy bag from the human skin. The system has the advantages of high temperature control precision, high field domain coupling efficiency, strong high-temperature stability of the magnetic powder, short clinical treatment course, low safety risk, high intelligent degree and the like, and can be widely applied to the fields of medical rehabilitation, primary medical treatment, family health, sports medicine and the like.