114 results about "Tissue type" patented technology

A robotic surgical system includes one or more robotic actuators configured to interact with biological tissue during a surgical procedure. A plurality of sensors include at least one of fiber Bragg grating sensors, piezoelectric strain sensors, or magnetostrictive sensors to capture real-time mechanical, elasticity, or deformation data from biological tissues. deep learning engine trained on a dataset comprising tissue mechanical responses across multiple tissue types, pathological states, and patient demographics. Pre-contact predictive adjustment profiles are generated for anticipated tissue interactions using preoperative imaging data registered to intraoperative coordinates. Intraoperative deviations are detected from predicted mechanical behavior and autonomously recalibrate actuator forces. Upcoming surgical maneuvers are anticipated based on prior task sequences and adjust actuator stiffness or damping properties in preparation for anticipated contact. An emergency override of actuator forces is provided via an anomaly detection module when real-time sensor data deviates beyond a threshold from the predicted safe mechanical response range. A feedback loop iteratively refines the deep learning engine during the procedure using supervised learning updates, anomaly detection, and reinforcement learning strategies. The reinforcement learning model is optionally shared across procedures to optimize distributed actuator force patterns for minimizing localized and cumulative tissue stress.

The invention provides a method for constructing a CT-MRI (Computed Tomography-Magnetic Resonance Imaging) personalized three-dimensional heart model based on multi-modal imaging, which comprises the following steps of: firstly, carrying out myocardial and infarction region segmentation on a CMR-LGE image, and carrying out myocardial and intramyocardial adipose tissue segmentation on a CE-CT image to generate a corresponding Label image; then, a high-precision three-dimensional volume mesh model of the corresponding ventricle is constructed based on the segmentation results of the two types of images; and then, mapping the corresponding Label image with the tissue type to a corresponding finite element model according to the coordinates of the grid, and obtaining a corresponding personalized ventricular model with the tissue type. An interpolation method based on a general ventricular coordinate system is adopted, data of an MR ventricular model with infarct tissue attributes is transferred to a CT ventricular model, and therefore a mixed CT-MRI ventricular model is constructed. And finally, storing the constructed CT-MRI ventricular model data with the integrated tissue attributes as a standard geometric and topological file format.

The embodiment of the invention provides a method and equipment for dynamically adjusting a motion control mode based on an intraoperative visual field environment, a medium and a program product, and relates to the field of intelligent medical treatment. The method comprises the following steps: acquiring an intraoperative view image and a preset basic force threshold value according to the tissue type of a to-be-operated site; calculating an intraoperative tissue real-time deformation rate based on the intraoperative view image, and calculating a real-time force safety threshold according to a preset basic force threshold and the tissue real-time deformation rate; receiving real-time contact force of the instrument and the tissue, comparing the real-time contact force with a real-time force safety threshold value, and if the real-time contact force is smaller than or equal to the real-time force safety threshold value, outputting an instruction of damping force in direct proportion to the real-time contact force; if the real-time contact force is larger than the real-time force safety threshold value, an emergency braking program instruction is output. According to the method, factors, such as tissue deformation and illumination change, which cause instability of the surgical field of view in the surgical environment are introduced, so that the environmental adaptability and dynamic adjustment of the field of view mechanism in the robot-assisted surgical operation process are improved.

The invention relates to the technical field of wound image intelligent identification, and discloses a wound type detection method based on image segmentation and a storage medium. The method comprises the following steps: synchronously acquiring a wound time sequence image and multivariate physiological data, generating a fusion characteristic spectrum, and adaptively generating a preliminary region mask according to the fusion characteristic spectrum through a dynamic path selection network; then, mask cutting is utilized to obtain a high-attention area image, and the high-attention area image is input into the cascade segmentation network after enhancement processing; according to the network, the first stage outputs a refined wound contour, and then the second stage carries out tissue type classification segmentation on the interior under the constraint of the contour. Organizational composition and spatial distribution features are extracted according to the segmentation result, and a predefined knowledge base is matched to output a type result. According to the method, by fusing the multi-modal data and the cascade segmentation architecture, the precision and robustness of wound segmentation under complex conditions are improved, so that more accurate wound type automatic judgment is realized.

The invention discloses a pig SNP chip construction method based on gene regulatory network characteristics, and relates to the technical field of animal genetic breeding, and the pig SNP chip construction method comprises the following steps: constructing a pig tissue specificity multi-level gene regulatory network related to target traits and tissue types; performing function annotation and network comprehensive feature extraction on the whole genome SNP based on the gene regulation network; and carrying out score sorting and screening on the extracted network comprehensive characteristics, screening SNP variation sites with regulation function potential, constructing a pig SNP site set, and preparing the SNP chip. By introducing tissue / character related gene regulatory network information, functional priority ranking and screening are performed on SNP loci in a whole genome range, so that the character interpretation ability and breeding value estimation accuracy of SNP in a chip are remarkably improved.

A method is provided for precision dosing of electrical stimulation of the brain. The method includes determining a location of each voxel of a plurality of voxels in a reference frame of an electro-stimulation device including a plurality of electrodes positioned on a head of a subject. The method also includes obtaining measurements that indicate a tissue type at each voxel inside the head of the subject based on an imaging device. The method also includes determining, with a processor, a value of one or more parameters of the electro-stimulation device based on the tissue type measurements at each voxel such that the electro-stimulation device is configured to generate a value of one or more parameters of an electric field at each voxel inside the head of the subject to improve the treatment outcome of the subject.

The invention belongs to the technical field of medical equipment, and particularly discloses plasma operation equipment and a using method thereof, and the plasma operation equipment comprises a host used for generating plasma; the control machine is connected with the host and is used for controlling the host to operate; the resectoscope equipment comprises an inner sheath, an outer sheath, an electrode and a cleaning device, the inner sheath is in a slender rod shape, and a limiting block is connected to the inner sheath in a sliding and sleeving mode. Compared with traditional plasma operation equipment, the mode that the traditional plasma operation equipment depends on a pedal to control cutting parameters is abandoned, and the cutting time, the cutting interval and the cutting current parameters of the main machine are set, regulated and controlled innovatively through the independent control machine; therefore, the medical staff can accurately input parameters on the control machine before the operation according to the operation site, the tissue type and the individual difference of patients, the pedal does not need to be treaded frequently during the operation, the operation steps are effectively reduced, and the probability of operation errors is reduced.

The application relates to the technical field of medical data processing, and discloses a macroscopic cross-section database construction method, a dose determination method, a device and equipment, which comprises the following steps: setting multiple boron concentration values for the tissue types corresponding to a human body model; selecting corresponding neutron source parameters for the tissue types and the multiple boron concentration values, wherein the neutron source parameters comprise energy range values; dividing the energy range values into multiple discrete neutron energy groups; performing particle transport simulation based on the selected neutron source parameters, jumping between different neutron energy groups in the simulation process, and obtaining neutron reaction rates and neutron fluxes of the tissue types under the multiple boron concentration values and the multiple neutron energy groups; and obtaining neutron macroscopic cross-section values of the tissue types under the multiple boron concentration values and the multiple neutron energy groups based on the neutron reaction rates and the neutron fluxes, and constructing a multi-group macroscopic cross-section database. The application can improve the calculation efficiency of the radiation dose and improve the adaptability to individual metabolic differences during dose calculation.

The present application relates to the technical field of vascular interventional treatment instruments, and discloses a system and method for the selective laser ablation of restenosis after the treatment of Budd-Chiari syndrome, comprising a controller, a pulse emission module and a reference element built into a catheter, the system is based on the reference element for periodic self-calibration, collects and processes the associated photoacoustic signals to identify the tissue type, and then realizes the selective ablation of the diseased tissue and the boundary self-stop when the healthy tissue is touched. The present application converts the traditional open-loop energy delivery into a closed-loop self-control process with real-time information interaction capability, so that the ablation operation end can in-situ perceive the tissue boundary and realize autonomous stop, thereby avoiding the problem of damaging the healthy tissue due to uncontrollable energy application, improving the safety of the operation, and having the advantages of high precision, few complications, repeatable treatment and the like.

The invention relates to a laser therapeutic instrument, a laser therapeutic instrument operation control device and a storage medium. The laser therapeutic instrument comprises a processor and a memory. Wherein the memory is used for storing computer programs; the processor executes the following steps when running a computer program: acquiring static characteristics and dynamic characteristics of a target object; based on the static features and the dynamic features, combining a tissue characteristic map and a prediction model to obtain a change trend prediction result of the target object; the tissue characteristic map comprises static characteristic reference values of different tissue types / skin types and a historical change rule curve of dynamic characteristics along with time; the prediction model is obtained based on constitutive equation training of the target object; on the basis of the variation trend prediction result, working parameters during operation on each region of the target object are determined in combination with an energy gradient distribution algorithm; and on the basis of the working parameters, real-time parameters of corresponding components in the laser therapeutic instrument are adjusted, and treatment of the target object is completed. Therefore, the accuracy and the stability of treatment are improved.

The embodiment of the invention discloses a tissue identification method, device and equipment for ultrasonic knife cutting. The tissue identification method comprises the steps that dynamic parameters in the ultrasonic knife tissue cutting process are dynamically captured; performing noise reduction processing on the dynamic parameter to obtain a noise-reduced signal; extracting time-frequency domain features of the denoised signal, and performing feature fusion to obtain a time-frequency domain feature vector; and inputting the time-frequency domain feature vector into a pre-trained tissue recognition model to obtain a tissue type, the pre-trained tissue recognition model being obtained based on training of a GWO-SVM model.

The invention relates to a medical system (15) comprising a medical instrument (16), preferably an electromedical instrument (17) or electrosurgical instrument (18). At least one magnetic field sensor (30), which is preferably in the form of a quantum magnetometer or an NVCD sensor, is provided on a tool part (19) of the instrument. Each magnetic field sensor (30) is designed to detect a magnetic field (38) emanating from the electromedical instrument (17) and / or from a biological tissue (20) and to provide a corresponding sensor signal (S), preferably an optical sensor signal (Sopt), which can be evaluated by means of an evaluation device (35). The evaluation device (35) determines at least one operating parameter (EP). The at least one operating parameter (EP) describes the biological tissue (20) and / or the effect generated by the medical instrument (16) or the tool part (19) on the biological tissue (20). For example, an operating parameter (EP) can describe the tissue type, a temporal and / or local change in the tissue, or the current temperature (T) or a local and / or temporal change in the temperature (T) of the biological tissue (20). Such operating parameters (EP) can be monitored very dynamically by measuring the magnetic field.

This invention discloses a multi-enzyme preparation for industrial cell dissociation, its usage method, and applications, belonging to the field of seed cell extraction technology for industrial meat culture. The invention employs a multi-enzyme preparation composed of component 1 and component 2; component 1 includes neutral protease, hyaluronidase, and elastase; component 2 includes matrix metalloproteinase, papain, and plasmin. The invention also discloses the preparation method and applications of the multi-enzyme preparation. The rational enzyme ratio and optimized treatment conditions of this invention help protect cell membrane integrity, maintain high cell activity, and significantly improve dissociation efficiency and cell recovery. The compound enzyme preparation is highly adaptable, applicable to various tissue types and dissociation requirements, and facilitates standardized and large-scale production. Combined with automated dissociation equipment, the compound enzyme preparation enables efficient and stable industrial operation, providing important technical support and broad application prospects for the cultured meat industry, tissue engineering, and cell therapy.

This invention relates to the field of AI analysis technology for medical ultrasound images, specifically to an intelligent ultrasound image analysis method and system based on artificial intelligence. The method includes: acquiring ultrasound image sequences of a target patient and performing standardized preprocessing; extracting deep features through an anatomical structure recognition network to generate an anatomical structure description containing boundary contour coordinate sequences, tissue type classification identifiers, and spatial location depth information; using a lesion feature discrimination model to perform multi-dimensional feature fusion analysis on the three types of information to obtain preliminary lesion localization and attribute descriptions; then verifying spatiotemporal continuity based on adjacent frames of the image sequence to check the consistency of lesion evolution and generate a verification report; comparing the report with a medical knowledge base template to output an auxiliary diagnostic conclusion with diagnostic opinions and confidence ratings. This invention can enrich the dimensions of anatomical structure representation, improve the accuracy of lesion discrimination, ensure the temporal consistency of analysis results, and enhance the reliability of auxiliary diagnostic conclusions.

The invention relates to the technical field of vascular interventional therapy instruments, and discloses an excimer laser ablation system and method for restenosis after Budd-Chiari syndrome interventional therapy, the excimer laser ablation system comprises a controller, a pulse transmitting module and a reference element arranged in a catheter, and the system performs periodic self-calibration based on the reference element; according to the method, associated photoacoustic signals are collected and processed to identify tissue types, selective ablation of lesion tissues and boundary self-stop when healthy tissues are touched are further achieved, traditional open-loop energy delivery is converted into a closed-loop self-control process with real-time information interaction capacity, and the method has the advantages of being simple in structure, convenient to operate and high in practicability. The ablation operation tail end can sense the tissue boundary in situ and achieve automatic stopping, so that the problem that healthy tissue is damaged due to uncontrollable energy application is solved, the safety of an operation is improved, and the advantages of being high in precision, few in complication, capable of achieving repeated treatment and the like are achieved.

The present invention relates to proteins suitable for being used as scaffolds to which a peptide of interest is bound, or which are comprised within a conjugate to which an agent of interest is attached. It also relates to said conjugates suitable for the selective delivery of their conjugated agents of interest to specific cell and tissue types, wherein said agent can be a therapeutic agent or an imaging agent. It also relates to nanoparticles comprising such conjugates and the therapeutic uses thereof.

The application discloses a lung cancer pathological tissue typing system based on a deep semantic segmentation network, and comprises a lung cancer recognition model and a lung cancer typing recognition model; image prediction processing is performed on an input pathological tissue slice image according to the lung cancer recognition model, a first probability of each pixel point in the slice image being cancer is predicted based on deep semantic segmentation network technology, and pixel points with the first probability greater than or equal to a first probability threshold are set as cancerous regions; all cancerous region images are input into the lung cancer typing recognition model, a second probability of each pixel point in the cancerous region image being each cancer type is determined based on deep semantic segmentation network technology, a cancer type corresponding to a pathological tissue slice image and a prediction probability of the cancer type are determined according to a statistical value of the second probability. Through prediction of the cancerous region and the cancer type to which each pixel point in the cancerous region belongs, the prediction probability of the corresponding cancer type is statistically counted, and the accuracy of cancer type classification is improved.

The embodiment of the invention discloses an intelligent ultrasonic knife energy output control method and system and a storage medium, and the method can generate corresponding ultrasonic knife energy output strategies based on a time sequence according to different tissue types such as blood vessels with different tube diameters. After the starting instruction of the ultrasonic knife working mode is received, the ultrasonic knife energy output strategy based on the time sequence and corresponding to the ultrasonic knife working mode is automatically executed, an operator does not need to judge the switching opportunity of the energy output duration and intensity according to experience, the whole energy output process is automatically operated, the operation complexity is reduced, the learning curve is shortened, and the working efficiency is improved. The operation is safe and efficient, and the reliable and standard operation effect is achieved. According to the invention, in a dynamic self-adaptive energy control and great blood vessel coagulation mode, the same reliable closure effect can be achieved in each operation, the uncertain risk caused by individual difference of patients and insufficient experience of operators is effectively reduced, reliable and efficient great blood vessel coagulation is realized, and thermal injury is reduced.

The application discloses a transient elastography method and device, wherein the method comprises: in a transient elastography mode: based on a transient elastic ultrasound probe, performing real-time ultrasound scanning on a first target tissue of a target object to obtain first ultrasound image data of the first target tissue; processing the first ultrasound image data to obtain a first target feature map; determining a tissue type of the first target tissue based on the first target feature map; automatically determining a first elastography strategy based on the tissue type of the first target tissue; controlling the transient elastic ultrasound probe to apply mechanical vibration to the first target tissue to excite shear waves to propagate in the first target tissue based on the first elastography strategy, and detecting the propagation of the shear waves by the transient elastic ultrasound probe to perform transient elastography on the first target tissue, and obtaining a transient elastic image of the first target tissue.

This disclosure describes hardware for microfluidic chips and an associated support module for facilitating operation of one or more microfluidic chips. The microfluidic chips described herein are designed for supporting multiple different tissue types, including kidney tissue, liver tissue, adipose cells, and so forth. Chip geometry facilities fluid flow through one or more channels of the chip with a particular flow rate. For example, shear forces are reduced where needed to ensure proper flow rate of fluid in the channels. The chamber geometry and the geometry of the channels ensures that a desired amount of oxygen is delivered to sample cells or tissues in a controlled manner.

The invention relates to an artificial intelligence-based abdominal cavity operation auxiliary control method, device and equipment and a medium. The method comprises the following steps: acquiring kinematics data of the intelligent surgical instrument and physical data in contact with tissues; geometric-physical fusion correction is carried out on the input pressure to obtain effective clamping pressure, and a contact quality index is calculated; extracting multi-dimensional electrical characteristics and obtaining tissue type labels through an AI tissue classifier; a target working state is generated through verification of the neural finite-state machine; and during plasma cutting, the residual life of the liquid film is predicted through LSTM, and a corresponding control signal is generated. By adopting the method, the accuracy, the safety and the stability of auxiliary control of the abdominal surgery can be improved, and reliable support is provided for surgery development.

The invention relates to the technical field of oral medical technologies, in particular to an augmented reality periodontal treatment navigation system which comprises a data acquisition module used for acquiring preoperative CBCT (cone beam computed tomography) data, intraoperative image data and surgical instrument space pose data of an oral cavity of a patient; the data processing module is used for preprocessing the intraoperative image data; the organization identification module is used for constructing a semantic segmentation network based on a U-Net + + architecture; the safety range determining module is used for calculating a three-dimensional equidistant surface of an operation safety range; the augmented reality fusion module is used for generating a virtual-real fusion navigation image; the navigation display module is used for providing instrument path guide lines; and the intelligent feedback module is used for triggering early warning and vibration feedback. According to the method, the tissue type and the lesion boundary are accurately recognized through reconstruction of the oral cavity structure model and the U-Net + + semantic segmentation network, accurate positioning of the lesion area and scientific definition of the safety boundary are achieved, incomplete treatment or excessive treatment is effectively avoided, and the risk that healthy tissue is accidentally injured is reduced.

The invention provides a laparoscope data processing method and system, relates to the technical field of data processing, and aims at outputting and interacting laparoscope data based on forms such as natural language processing, interacting according to the requirements of doctors, realizing preoperative identification of operators, and improving the accuracy of laparoscope data processing. The system is automatically converted into image modes for habits of an operator, including brightness, saturation, focal length and the like. The blood vessel or the ureter can be recognized based on the fact that the special spectrum can be combined with typed cells or tracers in the blood vessel or the ureter, blood vessel damage can be avoided as much as possible by recognizing the blood vessel, intraoperative bleeding is reduced, and the ureter damage probability can be reduced by recognizing the ureter. The method can obtain the abdominal cavity image collected by the laparoscope, determines the tissue characteristics of each tissue catheter based on the abdominal cavity image, the tissue characteristics comprise the tissue trend and the tissue diameter, determines the organ information of the recognition object, can perform point location recommendation and determine the tissue type according to the data collected by the laparoscope, and improves the judgment efficiency and accuracy of the user.

The invention discloses a duodenum mucosa remodeling system based on pulse field ablation and a control method, and the system comprises a multi-modal sensing ablation catheter which is used for collecting multi-modal data related to duodenum ablation through a multi-modal sensor; the multi-sensing data fusion unit is used for extracting key features after preprocessing the multi-modal data, and fusing the key features according to a preset algorithm to obtain a multi-modal feature vector; the real-time tissue feature analysis module is used for recognizing the tissue type of the current ablation point location in real time according to the multi-modal feature vector and analyzing the dynamic change of tissue features; the self-adaptive parameter adjustment engine is used for determining corresponding ablation parameters according to the tissue type of the current ablation point location and the dynamic change of the tissue characteristics; and the motion compensation and prediction system is used for predicting the motion trail of the duodenum in a future preset time period. The problem that in the prior art, a duodenum mucosa remodeling system is poor in remodeling effect is solved.

A multispectral photonic imaging system and associated methods are disclosed for classifying wound tissue and generating customized therapeutic wound dressings. The system employs wavelength-specific optical sources and integrated image sensors to capture multispectral reflectance data from a wound, enabling computational classification of distinct tissue types such as granulation, slough, and necrosis. A three-dimensional (3D) digital model of the wound is constructed using spatial data from depth sensors. The classified 3D wound model facilitates automated design of patient-specific dressings, featuring heterogeneous regions tailored with therapeutic compounds like antimicrobial agents, analgesics, collagen scaffolds, and hydrogel matrices precisely aligned to corresponding tissue classifications. Additional imaging modalities, including thermal and ultrasound sensors, can be integrated to enhance classification accuracy and inform targeted therapeutic placement, providing a comprehensive and personalized approach to wound management for medical and veterinary applications.

A surgical instrument, system and method for adjusting a compression force applied by a surgical instrument are disclosed. The method includes determining tissue impedance of tissue in contact with an end effector of the surgical instrument, determining a tissue type based on the tissue impedance, selecting a first energy modality to deliver to the surgical instrument, generating a first signal waveform based on the first energy modality, selecting a second energy modality to deliver to the surgical instrument, generating a second signal waveform based on the second energy modality, outputting the first and second signal waveform to deliver energy to the end effector, and adjusting a compression force applied by the end effector by changing a size of a gap between the tissue and the clamp arm based on a proportion of the first signal waveform to the second signal waveform.

The application discloses a longitudinal-bending coupling adaptive livestock and poultry meat ultrasonic cutting system and method based on acoustic black hole effect, and belongs to the technical field of food processing machinery equipment. The ultrasonic cutter head of the cutting unit has an energy focusing transition section; a cooling flow channel is arranged in the ultrasonic cutter head; a tissue recognition module is used for determining the type of livestock and poultry meat tissue to be cut; a piezoelectric sensor is used for detecting the electrical impedance signal of the piezoelectric transducer in real time; an adaptive control module is internally provided with an impedance reference parameter library, the parameter library stores target impedance values corresponding to different livestock and poultry meat tissue types; the adaptive control module receives the tissue type information; according to the tissue type information, the corresponding target impedance value is called from the impedance reference parameter library; the working frequency of the ultrasonic wave generator is dynamically adjusted; the application can adaptively adjust the output according to the change of the tissue type in livestock and poultry meat cutting, and can effectively control the thermal damage while improving the cutting efficiency.

The present disclosure relates to the delivery of multiple copies of a payload molecule such as an active agent or a chelating agent capable of capturing an active agent, using as a carrier for their delivery a biocompatible copolymer comprising side chain-linked amino acids functionalized at their alpha-amino group by a reactive azide moiety by means of which the payload molecules are coupled to the copolymer. The copolymer is typically further functionalized to contain a single copy of a cell type- or tissue type-specific targeting moiety.

A laser or ultrasonic instrument is used to remove tissue during a surgery, such as to form one or more pilot holes in a vertebra or a window in bone. Where a laser is used, interrogative laser pulses can be used to obtain information, such as detecting depth or tissue type.

A method includes receiving one or more radiological images of an anatomy of a patient. The method also includes identifying a boundary of different tissue types in the anatomy of the patient based at least partially upon the one or more radiological images. The method also includes identifying one or more regions within the boundary. The one or more regions include a lung region. The method also includes identifying healthy tissue and COVID-19 tissue in the lung region. The method also includes quantifying an extent of the COVID-19 tissue in the lung region by comparing an amount of the COVID-19 tissue in the lung region to an amount of the healthy tissue in the lung region. The method also includes classifying the extent of the COVID-19 tissue in the lung region into one or more of a plurality of COVID-19 classes.