50 results about "Anatomical sites" patented technology

The invention relates to the technical field of medical training equipment, in particular to a critical care ultrasonic image training system, which comprises a clinical data acquisition module for acquiring critical clinical case data, ultrasonic image materials and diagnosis and treatment process specifications; the training scene construction module is used for constructing a high-fidelity three-dimensional training scene according to severe clinical case data, ultrasonic image materials and diagnosis and treatment process specifications; the virtual ultrasonic practical operation module simulates the operation of an ultrasonic probe based on a high-fidelity three-dimensional training scene, and generates an ultrasonic image corresponding to an anatomical part in real time; the intelligent skill assessment center assesses operation normalization and diagnosis accuracy through practical operation data and real-time generation of an ultrasonic image corresponding to an anatomical site in combination with an improved ResNet-LSTM model, and an assessment result is obtained; and the personalized teaching unit generates a customized training scheme and knowledge strengthening content according to the evaluation result in combination with the learning track of the student. Therefore, the problems of insufficient dynamic scene simulation, poor authenticity and the like in the prior art are solved.

The invention relates to a multi-agent collaborative diagnosis system and method for ultrasonic multi-modal data, and the method comprises the steps: employing a cloud edge-end hierarchical deployment structure, and setting an end-side micro-agent; the edge collaboration server comprises a plurality of specialized diagnosis agents aiming at different anatomical parts respectively; each specialized diagnosis agent runs as an independent calculation process, cross-process diagnosis information interaction is carried out through a message bus in a publishing and subscribing mode, and the edge collaboration server is further configured with a logic verification unit which executes intermediate quality control and generates an online diagnosis report based on logic mutual identification; the cloud large model platform is in network connection with the edge collaboration server and is deployed with a general medical large model; the problems of misdiagnosis and missed diagnosis caused by single organ isolated diagnosis are effectively solved, and the intelligent level and logic leakproofness of ultrasonic diagnosis are improved.

The application provides a wearable portable hairband for mental fatigue detection and intervention, a flexible conductive polymer dry electrode is embedded in the inner side of the hairband, the dry electrode is attached to the scalp through mechanical pressure, and thus inductive collection is realized without conductive paste; the output end of the dry electrode collection signal is directly connected to a collection front end located at the side edge of the hairband through FPC, the front end is integrated with an amplifier and an analog-to-digital converter, weak electrical signals on the cerebral cortex are amplified and converted into a data format; a SoC chip is selected as a processor to build a full-integrated edge computing platform inside the flexible fabric hairband, and the calculation task of mental fatigue detection is sunk to the hairband end; an ultrathin bone conduction unit is used as an acoustic output component, which is connected through a flexible circuit and embedded in the inner side of the hairband corresponding to the anatomical site of the user's temple, when the mental fatigue detection result triggers the fatigue warning threshold, a binaural rhythm intervention module is activated to perform binaural rhythm intervention. The application can perform mental fatigue detection and intervention.

The invention relates to an optical monitoring device for monitoring the movements of an anatomical part of interest of a patient during a minimally invasive medical intervention. The optical monitoring device comprises a base layer that serves as a sterile drape and comprises an intervention region and a marking region which at least partially surrounds the intervention region. The marking region comprises, on the inner face, an adhesive material for attaching the monitoring device to the skin of the patient and, on the outer face, at least three optical markers or at least three attachment supports each intended to accommodate an optical marker. The marking region also comprises an optical fibre sensor which is securely attached to the base layer and which has a measurement point associated with each of the optical markers or attachment supports.

Performance of a medical procedure on an anatomical site can include acquiring a holographic image dataset from a patient. An instrument can be tracked using a sensor to provide a tracked instrument dataset and the holographic image dataset and the tracked instrument dataset can be registered with the patient. A hologram can be rendered based on the holographic image dataset from the patient for viewing by the user and to generate a feedback based on the holographic image dataset from the patient and the tracked instrument dataset. Performance of a portion of the medical procedure on the patient can occur while the user views the patient and the hologram with an augmented reality system, where the user can employ the augmented reality system for visualization, guidance, and / or navigation of the instrument during the medical procedure in response to the feedback.

This invention discloses an injection method for CaHA microsphere products that enhance facial three-dimensionality through multi-layering, relating to the field of cosmetic technology. The method includes: precise injection techniques and area division based on specific needs; and a combination of needle angle, injection depth, layer, and dosage for specific anatomical locations. Specifically designed for Asian facial structures, it provides a strong, naturally integrated solution. By using CaHA microsphere injection products, the following effects can be achieved: Facial volume replenishment: effectively replenishing facial soft tissue atrophy and fat loss caused by aging, skin aging, or genetic factors, restoring facial fullness. It is commonly used to fill sunken areas of the face, such as tear troughs, nasolabial folds, sunken temples, and sunken cheeks.

To provide a suction and irrigation system for maintaining an in situ pressure of an anatomical environment at an anatomical site under control during an endoscopic procedure.SOLUTION: Systems and methods for providing in-situ pressure control in an anatomical environment during a procedure are disclosed. The example irrigation and aspiration system includes a user input configured to receive, from a user, a desired pressure to be applied to the anatomical environment or a desired flow condition corresponding to the desired pressure. The system comprises a pressure sensor for sensing a pressure at or near the anatomical environment during the procedure, and a control module for adjusting one or more of an irrigation flow rate or an aspiration flow rate of at least one working channel of the medical device to maintain the pressure in the anatomical environment substantially at a desired pressure level or to maintain desired flow conditions in the working channel.SELECTED DRAWING: Figure 1

The application provides an automatic emergency chest X-ray film triage system, comprising: an image screening module receiving a DICOM image of a patient, defining the DICOM image meeting a preset condition as a first image; a segmentation data acquisition module inputting the first image into a plurality of deep learning models for image segmentation, respectively obtaining corresponding segmentation data; each deep learning model is trained according to a chest anatomical site; a qualitative judgment module composed of a plurality of triage units, receiving the segmentation data, each triage unit determining the segmentation data matched therewith, outputting corresponding qualitative judgment data based on the segmentation data; and a structured report module automatically outputting final diagnosis data based on the qualitative judgment data. The application also discloses an automatic emergency chest X-ray film triage method. The application can screen out patients with potential risks as soon as the chest X-ray film is taken, mark abnormal areas, prompt doctors to make a diagnosis quickly, and treat the patients in time.

The present application relates to surgical instrument material field, more particularly to a kind of transparent 3D printing surgical director and material.The director includes matrix, matrix is made of transparent 3D printing material, for being attached to the outer surface of target skeleton;Matrix contains multiple anatomical attachment parts, and the attachment surface of each anatomical attachment part corresponds different anatomical sites respectively;Multiple sensors are used to monitor the fitting condition of anatomical attachment part and target skeleton in real time;Signal conversion module is embedded in the inside of matrix, for converting the signal of sensor into visual signal;Multiple micro light bulbs are embedded in the inside of matrix, micro light bulb is connected with signal conversion module, and the brightness of micro light bulb changes according to the signal change of sensor;Power module is used to provide power for sensor, signal conversion module and micro light bulb.The present application provides a new type of surgical director with global visualization, anatomical universality and real-time force feedback.

A system and method for imaging an anatomical structure corresponding to an infusion therapy anatomical site includes a processor to execute applications stored in a non-transitory computer readable medium, the applications includes a first application to receive imaging information corresponding to radiant energy from the infusion therapy anatomical site, a second application to decompose the received imaging information into discrete image components, a third application to receive at least one of patient biographic profile characteristics and infusion therapy parameters, and a fourth application to receive the discrete image components, the patient biographic profile characteristics and the infusion therapy parameters and to provide a recommended clinical intervention based on at least one of the discrete image components, the patient biographic profile characteristics, and the infusion therapy parameters.

A conversion device is operable to perform a learning-based method of generating a synthetic electron density image (sCT) of an anatomical portion based on one or more magnetic resonance (MR) images. The method is processing-efficient and capable of producing highly accurate sCT images irrespective of misalignment in the underlying training set. The conversion device receives and installs a machine-learning model trained to predict coefficients of an image transfer function. The conversion device then receives a current set of MR images of the anatomical portion, computes current coefficients of the image transfer function by operating the machine-learning model on the current set of MR images, and computes a current sCT image of the anatomical portion by operating the current coefficients, in accordance with the image transfer function, on the current set of MR images.

Systems, computer-implemented methods, and computer readable media for generating a synthetic image of an anatomical portion based on an origin image of the anatomical portion acquired by an imaging device using a first imaging modality are disclosed. These systems may be configured to receive the origin image of the anatomical portion acquired by the imaging device using the first imaging modality, receive a convolutional neural network model trained for predicting the synthetic image based on the origin image, and convert the origin image to the synthetic image through the convolutional neural network model. The synthetic image may resemble an imaging of the anatomical portion using a second imaging modality differing from the first imaging modality.

Embodiments of the present disclosure relate generally to compositions and methods for the design of remote controlled biological systems, and more specifically to synthetic bioswitches that provide the ability to non-invasively and remotely control the function and activity of live cells, such as for example and not limitation, the expression of biologically active proteins or biological therapeutics, and the manipulation of physiologic or genetic processes and / or protein expression in live cells, in vivo (including, e.g., at desired anatomical sites) or ex vivo.

A system for performing an osteochondral grafting procedure includes one or more processing devices configured to execute instructions to cause the one or more processing devices to obtain first digital data of an anatomical site of a patient, the anatomical site including a recipient site for an osteochondral graft, the recipient site including an osteochondral defect, determine, based on the first digital data, first characteristics of the recipient site, obtain second digital data of a donor site, determine, based on the second digital data, second characteristics of the donor site, and generate, based on the first and second characteristics, a virtual plug corresponding to the osteochondral graft. The virtual plug is configured to conform to the recipient site, and generating the virtual plug includes at least one of storing data defining the virtual plug and providing, on a display, visual guidance based on the virtual plug.

A method for applying a regional block of the articular sensory branch of femoral (FN), obturator (ON) and accessory obturator nerves (AON) comprising injection of an anesthetic at a single needle entry point into a these nerves anatomical sites. Another aspect of this technology is a kit for performing this method.

A medical system includes a head having an end arranged to face a reference plane and a multistage slide mechanism coupled with the head. The multistage slide mechanism includes a coarse-float mechanism configured to enable movement of the head relative to the reference plane, and a fine-float mechanism configured to limit a force applied through the head to an initial force, and to reduce the force applied through the head to a reduced force less than the initial force in response to a presence of a first triggering event. The first triggering event may correspond to a valid coupling between a cone attachment of the head and a patient interface coupled to an anatomical site at the reference plane.

The invention discloses a digestive endoscopy report automatic generation method based on a multi-modal large language model, and the method comprises the steps: obtaining a plurality of first endoscopy image groups and corresponding first report texts, and training the multi-modal large language model to obtain a target model; in a reasoning stage, inputting a second endoscopic image group into the target model, generating an anatomical part prediction result through an anatomical part classification head, and generating an abnormal score through an abnormal probability scoring head; and determining a representative image according to the anatomical site prediction result, and generating a corresponding site description and diagnosis conclusion based on the representative image to form a second report text. By introducing an anatomical part identification and anomaly scoring mechanism into the multi-modal model, automatic generation from multiple endoscopic images to a structured report text is realized, the report generation efficiency and consistency are improved, and the method is suitable for digestive endoscopy auxiliary diagnosis scenes.

The application discloses an image diagnosis report generation method and device and a storage medium. The method comprises the following steps: searching a target template matched with a diagnosis text input by a user based on the diagnosis text, through three different levels of matching degrees, i.e. a spatial matching degree between the diagnosis text and the candidate template at an anatomical site level, a semantic matching degree between the diagnosis text and the candidate template related to pathological information, and a clinical correlation degree between the diagnosis text and the candidate template, and further optimizing the search through a time decay factor, a clinical priority and a conflict degree between regions of interest, improving the accuracy of searching the required image diagnosis template for the user, and thus solving the technical problem that the keyword matching effect of the traditional keyword matching algorithm in the prior art is poor in a medical scene, and the accuracy of searching a correct template is reduced.

This invention relates to a bipolar adjustable plasma electrode, comprising: an electrosurgical head; two first tubes, the electrosurgical head spanning between the two first tubes, and the first tubes containing a high-temperature resistant wire that is in contact with and conductive to the electrosurgical head; a second tube connected to the end of the two first tubes away from the electrosurgical head, and the first and second tubes being rotatably coupled; and a third tube containing a phosphor bronze rod, the phosphor bronze rod being electrically connected to a plug via a cable. Only a brief energization of the heating wire is needed to melt the phase-change conductive material, allowing easy adjustment of the angle between the two first tubes, thereby changing the shape of the electrosurgical head to adapt to different anatomical sites or surgical approaches. The frictional force between the first and second tubes maintains the shape of the electrosurgical head in the absence of external force. After power is cut off, the phase-change conductive material rapidly solidifies, locking the relative positions of the high-temperature resistant wire and the phosphor bronze rod.

The invention discloses a tumor metastasis risk assessment method and system based on circulating tumor DNA (ctDNA) spatial heterogeneity. The core of the method is as follows: blood samples of at least two different anatomical sites (such as peripheral veins and tumor drainage veins) of the same subject are obtained at the same time, and ctDNA in the samples is subjected to sequencing analysis; calculating characteristic data (such as a relative abundance ratio) representing ctDNA spatial distribution based on the mutation abundance difference between different parts; and finally, inputting the feature data into a pre-trained metastasis risk assessment model, and outputting a quantitative tumor metastasis risk score. According to the method, the limitation of traditional single-point liquid biopsy is broken through, the detection sensitivity of tiny metastases can be remarkably improved by utilizing the spatial distribution information of the ctDNA, potential metastasis positioning information is provided, and powerful technical support is provided for accurate diagnosis and treatment decision of tumor patients.

The invention discloses a C-shaped arm three-dimensional image metal segmentation method and system based on classification, and relates to the technical field of medical image processing, and the method comprises the steps: receiving three-dimensional image data and exposure parameters which are obtained through one-time three-dimensional scanning; feature extraction is carried out on the three-dimensional image data to obtain image features, and the image features are characterization of calculating the overall air proportion of a midmost slice and the air proportions of four boundary areas of the midmost slice after the midmost slice is selected from the three-dimensional image data; inputting the image features and the exposure parameters into a pre-established classification model for distinguishing different anatomical site categories, outputting to obtain a site classification result, and matching with the site classification result based on a preset threshold mapping relation to obtain a metal segmentation threshold; and segmenting the three-dimensional image data based on the metal segmentation threshold to obtain the image after metal segmentation, so that the segmentation precision is improved.

A medical device includes a housing having a distal portion with a probe extending therefrom. The housing is graspable by a user to manipulate the housing and the probe. The medical device further includes a pressure sensing system including a pressure sensor and a processing unit coupled with the pressure sensor. The pressure sensor is configured to be carried by the probe. The processing unit is carried by the housing and is configured to receive input signals from the pressure sensor. The medical device further includes an output unit coupled to the processing unit and carried by the housing. The output unit is configured to output a reporting signal to a display. The reporting signal is indicative of a pressure at the pressure sensor.

This invention discloses a method for generating virtual ultrasound images from magnetic resonance images based on a physics-guided Transformer adversarial network, belonging to the field of medical imaging diagnostic technology. The method includes: acquiring three-dimensional magnetic resonance images and real ultrasound images of the same anatomical location to construct a training dataset; building a dual-branch generator containing a semantic coding branch, an acoustic physical simulation branch, and a feature fusion decoder; the semantic coding branch extracts global anatomical features, and the acoustic physical simulation branch generates physical prior features; combining a dual-domain discriminator with a hybrid objective function containing adversarial and perceptual losses for end-to-end joint training; inputting the magnetic resonance image to be processed into the trained generator; and outputting a virtual ultrasound image for medical diagnosis after dual-branch collaborative processing. This method overcomes the shortcomings of traditional methods, such as insufficient physical consistency and poor feature fusion effects. The generated virtual ultrasound image possesses both anatomical accuracy and texture realism, providing reliable support for clinical diagnosis and related medical scenarios.

The application discloses a training method and device of a prediction model and a processor. In the case, a training sample set is obtained; anatomical site entities extracted from medical text data of multi-modal medical data of the training sample are mapped to corresponding spatial anchor points in a medical image coordinate system, a spatial bias matrix is constructed by an initial prediction model according to spatial distances between the spatial anchor points and image blocks of the medical image data; the model performs cross-attention fusion on the medical image data and the medical text data according to the spatial bias matrix to obtain an image-text fusion feature sequence, generates a prediction result according to the feature sequence and structured inspection data; and parameters of the initial prediction model are adjusted based on differences between the prediction result and a real label to obtain the prediction model. The application solves the technical problem of low prediction accuracy of the model caused by insufficient utilization of complementary information between multi-modal data in the prior art, and improves the auxiliary value of the prediction result for drug use and treatment of medical workers.

The invention discloses a medical image report generation method and device. The method comprises the following steps: acquiring to-be-analyzed medical image data and examination item information and non-image clinical data thereof; standardizing image data, and structuring non-image clinical data; constructing or updating a dynamic medical knowledge graph; inputting the image data into an anatomical region segmentation model to obtain a segmentation mask containing an anatomical part identifier, and obtaining an abnormal region spatial position identifier; querying the knowledge graph based on examination item information and anatomical site identification to obtain medical knowledge entries; generating a cue word text according to a cue word template based on the segmentation mask, the abnormal label, the structured clinical data and the medical knowledge entry; and inputting the image data, the segmentation mask and the cue word text into a multi-modal report generation model, and outputting a report text and linkage information of the abnormal description and the spatial position identifier. According to the method, region guidance, knowledge enhancement and multi-modal fusion are realized, and local anomaly capture and text-region correspondence are improved.

A medical system includes a head having an end arranged to face a reference plane and a multistage slide mechanism coupled with the head. The multistage slide mechanism includes a coarse-float mechanism configured to enable movement of the head relative to the reference plane, and to prevent movement of the head toward the reference plane while allowing movement of the head away from the reference plane. A one-way brake associated with the coarse-float mechanism is configured to transition between a locked state and an unlocked state in response to a presence of or an absence of a first triggering event. In the locked state, the one-way brake prevents movement of the head toward the reference plane and simultaneously allows movement of the head away from the reference plane. In the unlocked state, the one-way brake allows movement of the head toward the reference plane and movement of the head away from the reference plane.

Systems, instruments, and methods are provided verifying the surgery is being performed in accordance with a surgical plan, wherein a surgical tool having a sensor outputs a data signal that enables the trajectory of the surgical tool to be displayed as an overlay on an image of an anatomical portion of a patient and a visual or audible signal that confirms the surgical tool is penetrating the anatomical portion in accordance with the surgical plan and / or that issues an alert indicating that the surgical tool is not being inserted into the anatomical portion according to the surgical plan.

This invention relates to the fields of computer vision and medical image processing technology, and discloses a method for extracting lesion structures from cardiac magnetic resonance imaging (MRI) images based on deep learning. The method first retrieves dynamic cardiac cine sequences and delayed gadolinium-enhanced sequences from the same anatomical location, extracts the centroid trajectory of the left ventricular blood pool, and performs cross-sequence axial alignment and non-rigid deformation correction. Subsequently, a local orthogonal coordinate system based on the myocardial anatomical topology is constructed, and pixel-level motion vector fields with physical constraints are calculated in the dynamic cardiac cine sequences. By projecting the motion vectors onto the local orthogonal coordinate system and performing vector clipping according to the centripetal contraction physical constraint, an effective motion vector field is generated. Finally, dynamic features and image grayscale features are fused, and a logic gating operator is used to extract the lesion structure mask.

The invention discloses a mapping micro catheter capable of being quickly exchanged, and belongs to the field of medical instruments, the mapping micro catheter comprises a catheter body, the catheter body is divided into a near-end supporting section and a far-end soft section, a handle is arranged at one end, far away from the far-end soft section, of the near-end supporting section, and a Redel connector is arranged at one end, far away from the near-end supporting section, of the handle; a guide wire cavity matched with an intervention guide wire is formed in the far-end soft section, a guide wire cavity inlet of the guide wire cavity is located in the outer side wall of the far-end soft section, and a guide wire cavity outlet of the guide wire cavity is located in the far-end soft section. A plurality of electrodes are arranged on the outer side wall of the far-end soft section at equal intervals, the ends, away from the outer side wall of the far-end soft section, of the electrodes are connected with wires, and the wires sequentially penetrate through the far-end soft section, the near-end supporting section and the handle and then are connected with the Redel connector. According to the mapping micro catheter capable of being rapidly exchanged, the intervention guide wire can be rapidly installed, rapid exchange of the intervention guide wire is achieved, an epicardium electric signal of an expected anatomical site can be directly mapped, and the safety of the catheter pushing process is improved.

The application relates to the technical field of impact biomechanics and human engineering, in particular to a biomechanics response mapping method and device, an electronic device and a medium. The mapping method comprises the following steps: acquiring first information, wherein the first information comprises source body type biomechanics response channel data, body type parameters of a source body type and body type parameters of a target body type; constructing a regionalized dynamics mapping relationship according to a dynamics dominant mechanism of an impact response; the mapping relationship is used for representing the relationship among the body type parameters of the source body type, the body type parameters of the target body type, the biomechanics response channels of each anatomical region of the source body type and the biomechanics response channels of each anatomical region of the target body type; and determining the biomechanics response channel data of each anatomical region of the target body type according to the regionalized dynamics mapping relationship and the first information. The application can realize the effect that each anatomical part simultaneously meets the physical consistency requirement and the scaling result has high reliability.