310 results about "Clinical case" patented technology

A device to make expert knowledge available to a user (doctor) of a medical examination device is provided, with a transmission device in order to transcribe at this examination device a handbook procedure of an outside expert in the form of pulse sequences, protocols, parameter sets or the like for the examination device, coordinated with precise medical diagnoses by the inquiring user with an external (if necessary, decentralized) databank which stores settings for a plurality of clinical cases from patient parameters, as well as a computer (expert system) that searches for appropriate suggestions in the databank upon request, and the user submits one or more suggestions according to the result, in that, on a correspondingly expanded user interface of the user examination device, the respective providers are indicated and parallel and offered to be selected.

The invention discloses a tumor marker related to colorectal cancer and application. The tumor marker is lncRNA (long noncoding RNA) and is located on the seventeenth chromosome of chr17: 47785696-47797422, a nucleotide sequence of the lncRNA is shown in SEQ ID NO.1 is named as lncRNA-KAT7. According to the lncRNA-KAT7 sequence, specific real-time fluorescent quantitative PCR primer can be designed and synthesized to be used for preparing preparation for colorectal cancer diagnosis or treating effect prediction. By means of the real-time fluorescent quantitative PCR preparation, expression level of lncRNA-KAT7 is detected in colorectal cancer clinical case specimen, expression of the lncRNA-KAT7 in the colorectal cancer is found to be obviously reduced, the lncRNA-KAT7 has obvious statistic significance (p<0.05), and low expression of the lncRNA-KAT7 in the colorectal cancer is closely related to colorectal tumor differentiation, T staging, invasion and metastasis. The result shows that the lncRNA-KAT7 can serve as the tumor marker of the colorectal cancer and can be used for preparing preparation or kits applied to auxiliary diagnosis, treating effect prediction and prognosis of the colorectal cancer.

Rapid and accurate in-vivo assessment of cerebral white matter injury particularly for pre-term infants, for timely treatment and/or prediction of outcomes has been very limited. This invention exploits the discovery that reduced high-frequency EEG intensity, particularly as shown by the upper spectral edge frequency, is a good indicator of cerebral white matter neural injury and is well correlated with MRI results. With more experience of clinical cases, a set of simple rules such as "if the spectral edge value is below 8 Hz there is a high likelihood of injury" may be validated, yet the EEG technology involved is largely invisible to the user. In the invention, EEG signals are processed by software to obtain, store, and graphically display bilaterally collected EEG spectral edge and intensity values over from hours to weeks. Rejection of corrupted signals by filtering and gating means is responsive to incoming signal characteristics, to additional inputs such as motion sensors or impedance tests, and to patient data (gestational age in particular). The invention includes the software and methods of use.

The invention relates to a newly cloned full-length sequence of a long chain non-coding RNA (Ribonucleic Acid) gene and an application method thereof. The gene can be detected in a separation sample by methods including a hybrid method or an amplification method; and the gene can be used as a tumor marker, in particular a marker of liver cancer. According to the gene sequence, a real-time quantification PCR (Polymerase Chain Reaction) primer and an in situ hybridization probe are designed and synthesized; and by detecting the expression level of the long chain non-coding RNA in a liver cancer clinical case sample, expression of the long chain non-coding RNA in liver cancer is up-regulated remarkably, and prognosis of patients with liver caner with high expression of long chain non-coding RNA is poorer. According to the gene sequence, a RNA eukaryotic expression vector in a short hairpin structure for closing the expression of the long chain non-coding RNA by RNA interference is designed and synthesized; and the expression of the long chain non-coding RN in a liver cancer cell line A is inhibited successfully by using the vector.

The invention discloses a prostatic cancer computer-assisted detection method and system based on multi-parameter MRI and relates to the field of medical image processing. The method includes the following steps that at a training stage, firstly, a clinical case sample is preprocessed, then a prostate region and a focus candidate region are automatically extracted, and then features of the focus candidate region are calculated and used for training a classifier; at a testing stage, the trained classier is used for classifying the features of the focus candidate region automatically extracted from the tested clinical case sample, and a corresponding diagnosis result is obtained and serves as reference comments to be provided for doctors. A series of quantitative indexes and corresponding malignancy probability values are provided for radiologists, and the doctors can be effectively assisted in diagnosing the prostatic cancer through an MRI image.

The present disclosure provides platforms, systems, media, and methods for capturing clinical cases and expert-derived treatment rationales to facilitate biomedical decision making, which can include virtual clinical trials that continuously learn from the experiences of all patients, on all treatments, and all the time. Algorithms such as Bayesian machine learning methods can be applied to coordinate such virtual trials.

The invention relates to a text data processing method and device, an electronic device, and a computer readable storage medium, and relates to the field of computer information processing. The methodcomprises the steps: performing the segmentation of the words in a medical text, and generating word vectors; marking the lexical category of the words in the medical text through a lexical categoryvector; inputting the word vectors and the lexical category vector into a bidirectional deep learning model so as to obtain a first result; inputting the first result and a rule template into the deeplearning model, so as to extract the notional words in the medical text. The invention also relates to a medical text data processing method and device, an electronic device and a computer readable storage medium, and the method can quickly and accurately recognize the medical terms form a long text of clinical cases.

The invention provides a method for grouping disease diagnosis on the basis of decision tree algorithms. The method includes acquiring basic data of disease kinds; dividing the basic data of the disease kinds into a plurality of disease diagnosis grouping anatomy main categories according to human anatomy systems; further dividing each disease diagnosis grouping anatomy main category into a plurality of disease diagnosis operation child categories according to preset surgical types and operational difficulty degree data; selecting factors for each disease diagnosis operation child category by the aid of the decision tree algorithms and sub-dividing case samples into diagnosis related groups; determining that first complications in segmental characteristic variables selected by decision trees are general complications, determining that second complications in the segmental characteristic variables selected by the decision trees are important complications and dividing the diagnosis related groups on the basis of the general complications and the important complications. Preset conditions are met by the factors selected by the aid of the decision tree algorithms. Average values of expense of segmented nodes of the first complications are lower than preset thresholds, and average values of expense of segmented nodes of the second complications are higher than the preset thresholds. The method has the advantage that cases can be automatically grouped on the basis of clinical case data by the aid of medical diagnosis and the decision tree algorithms.

The invention relates to a long non-coding RNA and application thereof. According to the sequence of the long non-coding RNA, a specific real-time quantitative Polymerase Chain Reaction (PCR) primer and a probe are designed and synthesized, and a preparation used for EC auxiliary diagnosis or curative effect prediction is prepared. With the real-time quantitative PCR preparation, the expression level of the long non-coding RNA in an EC clinical case specimen is detected, and the expression of the long non-coding RNA in the EC is obviously lowered. The invention aims to prepare a preparation used for EC auxiliary diagnosis, or curative effect prediction, or prognosis determination.

The invention relates to a device and a method for demarcating and calibrating a dose monitoring detector in heavy ion beam cancer treatment. The structure of the device is characterized in that a collimator, the dose monitoring detector, a mini ridge-shaped filter, a water tank and a standard ionization chamber are arranged on a beam flux axis in sequence. The standard ionization chamber is arranged inside the water tank. The depth position of an irradiation beam mini spread-out Bragg peak in water is obtained by measuring absorbed dose of the standard ionization chamber at different depth in aqueous medium. At the depth position, the dose monitoring detector is demarcated and calibrated by the standard ionization chamber so as to obtain demarcating and calibrating factors of the measurement of the dose monitoring detector for the mini spread-out Bragg peak cancer treatment beam with a Gauss arrangement. With the demarcating and calibrating factors, the entire process of three-dimensional conformal irradiation therapy with uniform physical absorption dose or uniform biological effective dose in a tumor target volume can be conveniently controlled, the requirements of the treatment of different clinical cases in practical clinical treatment are satisfied, and the treatment efficiency of a treatment device is improved.

Molds for fabrication of custom and potentially modifiable abutments and impression posts for dental implants with various degrees of angulations (including zero degrees) and various dimensions are provided, with a generally oval shape that expands laterally upwards, a symmetrical or asymmetrical cross-section, and regular surfaces, that are fabricated as one piece, or as two coupling pieces snapping onto each other. Custom abutments achieve the development of a custom gingival emergence profile, three dimensionally, which is potentially modifiable according to the needs of each particular clinical case. Custom impression posts that correspond in dimensions and angulations to the abutments allow the accurate recording and transfer of the developed gingival emergence profile from the mouth onto the working cast, where the final implant prosthesis is fabricated. Custom abutments and impression posts have properties and design that allows their preparation and usage as temporary abutments for the cementation and support of temporary prostheses.

The invention relates to a system and a method for acquiring clinical case data. The system is characterized in that a verification module of a recognition device further comprises an electronic case report form comparison unit, and the electronic case report form comparison unit receives first electronic case report forms and second electronic case report forms which are transmitted by a first OCR (optical character recognition) module and a second OCR module, and compares and verifies the electronic case report forms which are transmitted by the first OCR module and the second OCR module. The system and the method have the advantages that outputted erroneous electronic case report forms can be effectively reduced while the efficiency of work for converting paper case report forms into the electronic case report forms can be improved, the accuracy of the system for acquiring the clinical case data can be improved, and the speed of the system for acquiring the clinical case data can be increased; the paper case report forms are recognized by the first OCR module and the second OCR module according to different algorithms respectively, so that the comparison accuracy of the electronic case report form comparison unit for comparing the first electronic case report forms to the second electronic case report forms can be improved.

The invention relates to a biological chip, in particular to a biological chip-based antidepressant drug curative effect risk evaluating system. The biological chip-based antidepressant drug curative effect risk evaluating system is characterized by consisting of a biological chip, a study optimizing module, a curative effect evaluating module, a database management module and a clinical case management module. The biological chip in the invention has the capability of continuous studying and optimizing, the application and the popularization of the biological chip in the invention provide an explicit and convenient means for forecasting the clinical treatment effect of the depression, and a far-reading social influence is generated.

The invention relates to a medical robot device, system and method, provides a medical far-end joint diagnosis adjuvant therapy robot device, far-end consultation, multi-department joint consultationand far-end medical advice by utilizing an artificial intelligence robot technology, and solves the problems of unsmooth communication of patient doctors, unclear understanding of illness conditions,unmatched treatment methods and the like. A B-ultrasonic image acquisition device, an intraoral acquisition device, a blood acquisition device, a CT image and a DR radiology department image which arecarried by a robot are used for remotely controlling acquisition and sharing to realize image sharing, so that the problems of human diagnosis and treatment errors, diagnosis limitation of a single diagnosis and treatment department, singleness of a diagnosis scheme and the like are solved; through a blood vessel amplifier, an intravenous injector and other injection devices carried by the robot,robot far-end control, autonomous injection, autonomous medicine configuration and cyclic taking and placing of medical equipment are achieved, and the problems that the operation pressure of medicalstaff is large, and many night shifts exist are solved. The flexibility of far-end inquiry, ward round and multi-department joint consultation of experts and doctors is improved, and clinical cases are efficiently solved by multiple treatment schemes and multiple experts. The system is applied to outpatient service, wards and overseas medical institutions.

The invention relates to a liver image segregation method based on hierarchy vessel tree division. The method comprises the steps that firstly, a directed tree is utilized to represent a topological structure of a liver portal vein vessel, then according to space distribution and branch average radius information of the liver portal vein vessel in a specific clinical case image, vessel hierarchical parameters are determined and a hierarchical vessel tree is created, a second-level subtree set providing blood for a liver is marked, marked second-level subtrees are divided into eight kinds according to blood supplying areas, the liver is divided into eight hepatic segments through the adoption of the shortest distance algorithm to be analyzed, and clinical interesting information is extracted. According to the method, for liver vessels with multiple branches and complex structures, good hieratical effects can be obtained, blood supplying effects of most second-level branches are considered, and hepatic segment distribution and attribute information obtained through segregation also accord with the Couinaud hepatic segmentation theory.

The invention relates to methods for extraction and analysis of J waves, in particular to a J-wave extraction and analysis method based on non-negative matrix factorization. The J-wave extraction and analysis method based on non-negative matrix factorization comprises the following steps that electrocardiosignals with J-wave source signals are obtained, and an initial value matrix V1 and an initial value matrix V2 are obtained through preprocessing; a hybrid matrix W and a source signal matrix H are obtained through reconstruction errors, the hybrid matrix W and the source signal matrix H are initialized, and then a non-negative matrix W' and a non-negative matrix H' are obtained; convergence of an objective function is achieved through respective iterative algorithms of the non-negative matrix W' and the non-negative matrix H', and H1 and H2 are obtained; after the H1 and the H2 are combined, J-wave source signals are obtained, conversion is conducted on the J-wave source signals, digital features are obtained through extraction, and the J-wave source signals with the same digital feature are classified into the same type. By the adoption of the J-wave extraction and analysis method based on non-negative matrix factorization, J waves are successively extracted, the extraction precision of the J waves meets the requirement, analysis about time domain, frequency domain, power spectral density and spectrum is conducted on the J waves, the features of the J waves are obtained through extraction, the J waves with the same digital feature are classified into the same type, and then a doctor makes accurate diagnosis for a patient referring to clinical cases.

A system for preliminary diagnosis of ocular diseases is proposed, in which from capturing a plurality of images of the eyes of a person, a final image, corrected by processing the images by a computer application, is obtained. The already mentioned application calculates the percentage of the colors composing the pupillary reflex of each eye, and compares the results with previous reference pictures obtained from normal cases and clinical cases of ocular diseases.

The present invention relates to a radiotherapy planning system (100) for determining a solution (101) corresponding to a fluence profile. The invention proposes to use a Pareto frontier navigator (140) to select the best plan from a set of various auto-planned solutions. An interactive graphical user interface (400) is provided to the planner to navigate among convex combinations of auto-planned solutions. This proposed Pareto plan navigation can be considered as a further optional refinement process, which can be applied to find the best plan in those cases where auto-generated solutions are not fully satisfying the planner's requirements. The navigation tool (400) moves locally through a set of auto-generated plans and can potentially simplify the planner's decision making process and reduce the whole planning time on complex clinical cases from several hours to minutes.

The invention discloses an ultrasound image aided diagnosis system which comprises a display interface, a focus name catalog structure which is arranged on the display interface, a standard ultrasound image display area which is arranged on the display interface and is corresponding to a focus name, and a static ultrasound image display area which is arranged on the display area. After the system starts, the static ultrasound image display area displays a static ultrasound image; after the focus name in the focus name catalog structure is clicked, the standard ultrasound image display area displays a standard ultrasound image which is corresponding to the focus name. The ultrasound image aided diagnosis system compares the standard ultrasound image which is corresponding to the focus name and the static ultrasound image which is bypassed by an ultrasound diagnostic unit, and assists an ultrasound doctor to look for characteristic presentation, thus making the right diagnosis on difficult or rare clinical cases and providing good aided diagnosis tool for ultrasound doctors.

The invention belongs to a case register network management system, and particularly relates to a kidney cancer case digitized information management system. The system comprises a kidney cancer data management platform, a sample library, an image data platform and a tumor pathology result data platform. By means of the kidney cancer case digitized information management system, management of clinical case data can be conducted, a doctor can track and monitor over the illness changes of the kidney cancer of a patient, and the kidney cancer clinical scientific research is carried out assisted by the system, and the system meets the requirements of existing evidence-based medicine.

The invention discloses a system for traditional Chinese medicine and western medicine clinical diagnosis training and subsystems thereof. The system for the traditional Chinese medicine and western medicine clinical diagnosis training comprises a server and a plurality of subsystems, wherein each subsystem comprises a traditional Chinese medicine and western medicine clinical diagnosis training module, a display module, an input module and a judging module, wherein the traditional Chinese medicine and western medicine clinical diagnosis training module stores traditional Chinese medicine and western medicine clinical diagnosis training-related information and provides clinical cases for performing clinical diagnosis training for inspection, olfaction, inquiry, palpation and treatment in traditional Chinese medicine and diagnosis and treatment in western medicine for a user; the display module displays clinical diagnosis training contents of the traditional Chinese medicine and western medicine clinical diagnosis training module and result information of the clinical diagnosis training of the user in an image-text mode; the input module is used for inputting the clinical diagnosis information according to the clinical diagnosis training contents of the traditional Chinese medicine and western medicine clinical diagnosis training module which are displayed by the display module by a user; and the judging module is used for judging the accuracy of the clinical diagnosis information. The system for the traditional Chinese medicine and western medicine clinical diagnosis training has the advantages of realizing the traditional Chinese medicine and western medicine clinical diagnosis training, along with better clinical diagnosis training effect.

The invention discloses silicone dressing, and a preparation method and the use thereof. The silicone dressing is prepared from silicone, an organosilicon antibacterial agent, and matrix. The silicone dressing is reasonable in formula and convenient to prepare, can effectively restrain various hyperplastic scars caused by the reasons of burn, trauma, surgery, infection and the like, protects various wound surfaces caused by the reasons of burn, trauma, surgery, infection and the like, controls wound surface infection, keeps the wound surface wet, and promotes the wound surface to heal. The effective rate achieves over 95% by validation of more than 100 clinical cases; and the bacteriostatic ability of the product on staphylococcus aureus and escherichia coli can be over 99%.

The invention discloses a medical simulation diagnosis and treatment teaching system based on a cloud platform. The medical simulation diagnosis and treatment teaching system based on the cloud platform comprises a simulation diagnosis and treatment teaching platform, a cloud management and control center, a school management module, a teacher teaching module, a student learning module, a teaching management department static analysis module and a short message platform. By adopting the medical simulation diagnosis and treatment teaching system, students can directly and personally join in analysis and judgment on clinical cases outside conventional teaching modes, due to PBL problem-orientated teaching, the learning impression of different subjects of clinical medicine is enhanced for the students, the learning interest of the students is greatly improved, the students are helped to deeply understand and master special knowledge, the final graduation scores of the students are increased, and the practical capability of the students is improved.

The invention discloses a traditional Chinese medicine composition for treating hyperplasia of mammary glands, belonging to a traditional Chinese medicine preparation. The traditional Chinese medicine composition is prepared from the following medical raw materials: 30g of oyster, 15g of sea-tangle, 15g of radix bupleuri, 15g of astragalus membranaceus, 15g of Chinese angelica, 15g of red-rooted salvia root, 15g of common peony root, 15g of white atractylodes rhizome, 10g of tuckahoe, 10g of semen trichosanthis, 10g of ligusticum wallichii, 10g of radix asparagi, 10g of rhizoma sparganii, 10g of pericarpium citri reticulatae viride and 10g of tangerine seed. The traditional Chinese medicine composition has the balancing effects of nourishing Yin, relaxing stasis, dissolving stasis, dissipating stagnation, soothing the liver, regulating the flow of vital energy and activating blood to dissolve stasis, and also has definite curative effect and quick effect. The traditional Chinese medicine composition not only greatly reduces toxic and side effects, but also overcomes the toxic and side effects brought by taking western medicine for a long time, and has obvious curative effect on mammary gland hyperplasia patients who are not cure for a long time. Proved by 90 clinical cases, the effective rate of the traditional Chinese medicine composition is 95.8 percent.