18 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 present invention discloses a large model fine-tuning method and device for medical school education scenarios, comprising the following steps: 1) Select a suitable general large model; 2) Construct a supervised fine-tuning dataset; 3) Use the medical school education fine-tuning dataset to perform supervised fine-tuning on the selected general language large model; 4) Model evaluation and iteration; 5) Model loading and use. By using the fine-tuned large model, intelligent question generation and intelligent question-answering functions in the medical education assistance platform are realized, providing comprehensive support and solutions for medical education. The method proposed by the present invention can help quickly generate high-quality fine-tuning data in the field, improve the general large model's understanding of medical knowledge, enhance the question generation ability and efficiency, and improve the adaptability and practicality of the model.

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.

A high-simulation full-automatic pericardium puncture surgery skill training and examining device under ultrasonic guidance comprises a high-simulation human body model, a simulation hydropericardium bag, a simulation heart, a microcomputer controller, a high-simulation cardiac pulsation device and an automatic hydropericardium supplementing device. The simulated human body model is characterized in that the simulated skin, the simulated hydropericardium sac and the simulated heart in the precardiac area of the simulated human body model are molded and manufactured by adopting organic material molds which are equal in density and accord with acoustic characteristic impedance in acoustic parameters of a human body, high-simulation heart rhythmic pulsation is automatically generated, hydropericardium is automatically supplemented, and the human body is simulated. When a real diasonograph is used for scanning, rhythmic pulsation of the simulated heart, color Doppler blood flow display and a liquid dark area of hydropericardium can be displayed on a display screen. Pericardial effusion puncture is carried out under ultrasonic guidance, the puncture position and the puncture direction can be accurately determined, the device is used for training and examining pericardial puncture skills under ultrasonic guidance by medical colleges and medical staff, and the training and examining effects of the pericardial puncture skills are remarkably improved.

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 invention provides a highly realistic upper limb nerve injury examination skill training simulation model. A pain sensation examination needle is used to prick the highly realistic human upper limb model to examine the patient's pain sensation. The pain sensation in the distribution area of the damaged nerve will necessarily decrease. Through the microcomputer monitoring controller, voice prompts and different colors of indicator lights are issued to judge the damaged upper limb nerve location. This achievement is used in medical colleges and teaching hospitals to train medical students and in-service medical staff in upper limb nerve injury examination skills, which can significantly improve the teaching effect. A highly realistic upper limb nerve injury examination skill training model, which comprises: a highly realistic human upper limb model, a microcomputer monitoring controller, and a pain sensation examination needle. It is characterized in that: four highly realistic human upper limb models (1-1, 1-2, 1-3, 1-4) are each provided with a simulated skin (2), a subcutaneous tissue-muscle layer (3), and a simulated bone (4). Under the simulated skin (2), an upper layer conductive metal mesh electrode (B1 / B2 / B3 / B4) and a lower layer conductive metal mesh common electrode (A) isolated by an insulating layer (5) are arranged. The present invention can significantly improve the quality of skill training.

A fully automated multifunctional medical model skill training laboratory bench belongs to the technical field of teaching equipment. It is characterized by: an automatic lifting device for a standing medical model and a laboratory bench device thereof; chest and abdominal examination laboratory benches are each equipped with an automatically liftable tabletop, on which chest and abdominal examination models are placed; an electric lifting device is fixed to the bottom frame of the main frame of the chest and abdominal examination laboratory benches, and the chest and abdominal examination laboratory bench tops are fixed to the top of the device; a controller chassis is provided with a rectifier power supply and a switch for controlling the electric lifting; operating the switch lowers the chest and abdominal examination models and stores them in a cabinet; and the first tabletop of the chest and abdominal examination laboratory bench is placed on the upper frame of the laboratory bench main frame, thereby converting the bench into an ordinary laboratory bench or desk. This is a fully automated multifunctional laboratory bench with multiple functions, enabling a single laboratory bench to be used for multiple purposes, greatly improving the efficiency of laboratories and laboratory benches in medical schools and teaching hospitals, as well as the quality of skill training, and significantly saving teaching resources.

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.

The invention relates to the technical field of teaching models, in particular to a vitreous liquefaction demonstration model, which comprises a simulated eyeball, the bottom end of the simulated eyeball is fixed on a desktop through a base, and a control mechanism is arranged in the base; the simulated eyeball comprises a shell, a simulated glass body is arranged in the shell in an abutting mode, and an irregular bag cavity without content is formed in an inner cavity of the simulated glass body; a hidden cavity without contents is formed between the inner cavity of the shell and the simulated glass body; the control mechanism comprises a control assembly, the control assembly is electrically connected with a gas circulation assembly and a liquid circulation assembly, the gas circulation assembly communicates with the hidden cavity and the irregular bag cavity, and the liquid circulation assembly communicates with the inner cavity of the simulation vitreous body. The demonstration model is compact in structure, easy and convenient to operate and high in expansibility, not only can dynamically simulate the vitreous body liquefaction process and complications caused by the vitreous body liquefaction process, but also can be used as a teaching tool to help a user to better master related knowledge, and is easy to popularize and use in medical institutions, medical colleges and other places.

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 invention discloses an auxiliary question answering method and system based on traditional Chinese medicine ancient book genre inheritance, and relates to the field of artificial intelligence. The method comprises the following steps: acquiring knowledge maps of different medical schools; nodes of the knowledge graph are doctors corresponding to medical schools, literature subsystems corresponding to the doctors are bound to the nodes, and the edge is the door-to-door inheritance relationship between the doctors; introducing a pre-trained RoBERTa large model into the literature subsystem to segment related ancient book data of a doctor corresponding to the literature subsystem, and constructing an index structure of a vector space; and obtaining question text data, analyzing the doctor's orientation from the question text data, performing semantic routing under the guidance of the knowledge graph, and generating response data of the question text data in combination with the index structure. The knowledge graph is constructed along inheritance veins of genres, and learning of a rigorous and systematic traditional Chinese medicine theory system is facilitated. And meanwhile, an exclusive literature retrieval engine is bound for each doctor node, so that the accuracy of an output result of the question and answer system can be improved.

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.