12 results about "Medical school" patented technology

The invention provides a medical college online learning system based on big data analysis, and relates to the technical field of data processing, and the system comprises a knowledge graph construction module which is used for carrying out the preprocessing and multi-dimensional feature extraction of original learning data uploaded in a medical college online learning environment, and generating a dynamically updated medical knowledge graph; the vector conversion module is used for encrypting and decomposing the entity attribute identifier in the medical knowledge graph by utilizing elliptic curve cryptography to generate a multi-dimensional feature vector with three-dimensional space coordinates; and the data extraction module is used for constructing a data distribution model based on the space coordinates of the multi-dimensional feature vectors and extracting local density concentration characteristic values and boundary dispersion characteristic values of the data distribution model. According to the method, the accuracy, the safety and the efficiency of online learning of medical colleges are comprehensively improved by dynamically constructing the medical knowledge graph, encrypting the feature vectors, accurately evaluating the entity association degree and combining meta-learning to generate a differentiated learning path.

The invention belongs to the technical field of medical teaching information, and particularly relates to an umbilical cord model umbilical vein indwelling catheter module improvement system and method based on a novel biomimetic material. The system focuses on clinical training requirements of umbilical vein catheterization in newborn intensive care, and overcomes core defects of a traditional training model in material bionic degree, operation feedback precision and durability by innovating a bionic material formula, optimizing a catheterization channel structure and designing a multi-dimensional sensing feedback and evaluation algorithm. A practical operation training solution with real operation hand feeling, accurate quantitative evaluation and high reusability is provided for medical teaching, and the system is suitable for skill training in scenes such as medical colleges and hospital neonatology departments.

The application discloses an auxiliary cupping isolation device capable of being quickly applied to the mouth of a fire cup to prevent cross infection, which comprises a disposable sleeve-shaped isolation sleeve, the outer end of the isolation sleeve is located outside the mouth of the fire cup, and the inner end is located inside the mouth of the fire cup; a bellows, the bellows is connected at the head and the tail to form a ring shape, the bellows is connected to the inner end of the isolation sleeve, and in the initial state, the bellows is compressed; and a mounting device, which comprises a middle shell and an inner shell, the middle shell is in a cylindrical shape and is hollow at the lower end, the inner shell is in a circular truncated cone shape with the upper end being larger than the lower end, the inner shell is fixed in the middle shell, the diameter of the middle shell is larger than the diameter of the mouth of the fire cup and smaller than the diameter of the outer end of the isolation sleeve, the upper end of the inner shell is larger than the size of the bellows when the bellows is stretched and smaller than the size of the mouth of the fire cup, and the first gap is formed between the middle shell and the inner shell. The auxiliary cupping isolation device is suitable for clinical operation and teaching of medical colleges and medical institutions and is easy to popularize.

The invention belongs to the technical field of traditional Chinese medicine preparations and food processing, and particularly relates to a preparation method and application of a Wu'door medicine Pi radix scrophulariae yuanling paste. The preparation method comprises the following steps: pretreating the raw materials, and then heating, mixing or crushing to obtain the radix scrophulariae and yuanling paste; wherein the raw materials comprise the following components in parts by weight: 1-20 parts of radix scrophulariae, 30-80 parts of longan aril, 1-10 parts of donkey-hide gelatin, 1-40 parts of radix polygonati officinalis and 1-10 parts of spina date seeds. The preparation method can be applied to preparation of medicines or foods, and can also be applied to related products. According to the invention, under the condition that exogenous sugar does not need to be added, the black ginseng yangling paste which is good in taste and has the effects of resisting fatigue and improving anemia is successfully prepared.

The application belongs to the technical field of medical image fusion, and discloses a network model and method for glioma SPECT-MRI image fusion. The network model is referred to as DEFSD, which promotes image fusion by decomposing exclusive features and saliency masks. Specifically, first, the source SPECT image in the RGB space is converted into the YCbCr space, then the SPECT image and the MRI image in the Y channel are input into the DEFSD, the DEFSD combines the attribute vector and the object feature map, respectively reconstructs the two source images, and determines the exclusive features of the source images, meanwhile, the features of the highlighted regions are utilized by using the saliency mask; then the image output by the trained DEFSD is converted into the RGB space together with the SPECT images in the Cb and Cr channels, and finally, the output fusion image is obtained. The training is carried out on the medical image data set disclosed by Harvard Medical School, and the experimental results show that the DEFSD can produce a fusion image containing a large amount of information unique to each modality, and has obvious groove features in the lesion area, which is beneficial to early diagnosis of glioma.

The invention discloses a medical internship student information management method and related equipment. The method comprises the steps that a medical college and a practice hospital carry out model training locally to obtain local model parameter updating; under the condition of not exchanging local original training data of each terminal, generating a global optimization practice management model shared by each terminal through a federated learning algorithm based on local model parameter updating so as to distribute the shared global optimization practice management model to medical colleges and the practice hospitals; students to be internalized in a medical college are evaluated based on the global optimization internship management model, a matched internship cultivation plan is recommended, multi-dimensional ability evaluation is performed on the students based on the model, constraint conditions are comprehensively considered, and the matched internship cultivation plan is recommended for the students. The problem that medical internship management between hospitals and colleges mainly has data islands and collaborative barriers between hospitals and colleges is solved, and the scientificity and efficiency of internship management are improved on the premise that privacy is protected.

The invention relates to the technical field of medical image processing and three-dimensional visualization, and discloses a human body tomographic anatomical image three-dimensional visualization reconstruction method and system. The method comprises five steps of interlayer registration and gray normalization, multi-organ semantic segmentation based on an anatomical position attention module, surface-volume hybrid three-dimensional reconstruction, interactive virtual anatomy layer-by-layer stripping visualization and anatomical knowledge graph driving labeling, and a segmentation module sends a quality feedback signal to a registration module to form closed-loop cooperation. And a reusable digital three-dimensional anatomy resource is provided for anatomy teaching in medical colleges and universities.

The invention belongs to the technical field of medical teaching information, and particularly relates to a neonatal umbilical cord model umbilical vein catheterization module improvement method and a neonatal umbilical cord model umbilical vein catheterization module improvement system. The technology focuses on clinical training pain points of umbilical vein catheterization in newborn intensive care (NICU), and a closed-loop training system of high-fidelity simulation, whole-course monitoring, accurate guidance and scientific evaluation is constructed through integrated design of bionic material preparation, multi-parameter sensing, intelligent algorithm regulation and control and quantitative evaluation feedback. The method is suitable for medical colleges, neonatology department of hospitals, nursing training institutions and other scenes, an umbilical vein catheterization practical operation training solution with clinical authenticity and high training efficiency is provided for medical staff, and the training quality and the clinical operation conversion effect can be remarkably improved.

The present application relates to the technical field of medical image processing and three-dimensional visualization, and discloses a human body tomographic anatomic image three-dimensional visualization reconstruction method and system, which comprises five steps of interlayer registration and gray scale normalization, multi-organ semantic segmentation based on anatomic position attention module, surface-volume hybrid three-dimensional reconstruction, interactive virtual dissection layer-by-layer peeling visualization and anatomic knowledge graph driven labeling, and a quality feedback signal is sent from a segmentation module to a registration module to form a closed-loop cooperation, thereby providing reusable digital three-dimensional anatomic resources for anatomic teaching of medical colleges.

A system operable to analyze applicant features having at least one user computing device in operable communication with a user network. An application server in operable communication with the user network to host an application system for analyzing the plurality of applicant features and transmitting the plurality of applicant features to a comparator operable to compare the plurality of features to one or more other applicants.

The application discloses an ultrasound-guided nasal-intestinal tube placement teaching simulation system, relates to the technical field of medical teaching simulation, and comprises a high-fidelity bionic gastrointestinal multi-state simulation module, an intelligent tactile feedback and dynamic resistance simulation module, a multi-dimensional ultrasound guidance and positioning precision simulation module, a three-dimensional virtual dissection and whole-process visualized backtracking module, an AI-driven multi-dimensional intelligent evaluation and adaptive teaching module and a whole-cycle data management and teaching supervision module. The system is configured by a bionic gastrointestinal model consistent with the proportion of human dissection and different physiological and pathological states, so that multi-scene simulation of the nasal-intestinal tube placement process is realized. The system is cooperatively operated by the tactile feedback and ultrasound simulation, and simultaneously presents the operation feeling and the ultrasound imaging effect. The operation process of students is evaluated in multiple dimensions, the training content and difficulty are adjusted according to the evaluation results, and closed-loop management of teaching training is realized. The system is suitable for medical college teaching, hospital residency training, critical specialty and nutrition specialty skill examination.