69 results about "Anatomical sites" patented technology

The invention discloses an image diagnosis report generation method and device and a storage medium. The method comprises the following steps: determining the matching degree on three different levels, namely, the spatial matching degree between a diagnosis text and a candidate template on an anatomical part level, the semantic matching degree between the diagnosis text and the candidate template and related to pathological information, and the clinical association degree between the diagnosis text and the candidate template; according to the method, the target template matched with the diagnosis text is searched based on the diagnosis text input by the user, and the search is further optimized through the time decay factor, the clinical priority and the conflict degree among the regions of interest, so that the accuracy of searching the required image diagnosis template for the user is improved, and the user experience is improved. Therefore, the technical problems that in the prior art, a traditional keyword matching algorithm is poor in keyword matching effect in a medical scene, and the accuracy of searching out a correct template is reduced are solved.

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.

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.

Systems and methods of in situ unclogging a working channel in a medical device during a procedure are disclosed. An exemplary unclogging system comprises a flow sensor to sense a flow rate through a working channel, and a control module to detect a channel state indicating a presence or absence of clogging based on the flow rate. In the presence of channel clogging, the control module can control one or more of an irrigation source or a suction source to provide respectively irrigation fluid or suction pressure to unclog the obstructed channel. The control module can adjust one or more of an irrigation flow rate or a suction flow rate through the working channel to maintain a desired pressure of the anatomical environment at the anatomical site, or to maintain a desired flow condition in the working channel, during the procedure.

A computer implemented method of distinguishing tumor progression from treatment-related necrosis in digital images of a subject implements a multimodal deep learning architecture from MRI data of a selected anatomical portion of the subject, such as a brain, and corresponding dPET data for the subject with a tracer applied to the anatomical portion of the subject. The computer stores co-registered MRI data frames with dPET data frames as three dimensional (3D) parametric PET maps to identify multi-modal image features of segmented tumor data. A convolutional neural network uses MRI data and selected multi-modal image features as inputs and the computer concatenates respective output latent feature vectors from the respective sections of the at least one CNN. Feeding concatenated feature vectors to fully connected layers of the multimodal architecture distinguishes tumor progression from treatment-related necrosis of the anatomical portion of the subject.

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.

The present invention provides a hip joint anatomical site prediction system, a pre-operative and post-operative evaluation system, and a storage medium, belonging to the technical field of medical data processing. The system of the present invention includes: an input module for inputting the hip joint image data to be recognized of a patient; a data processing module for inputting the hip joint image data to be recognized into a deep learning network model to obtain the anatomical sites and anatomical regions in the hip joint image data to be recognized; an output module for outputting the recognized anatomical sites and anatomical regions, calculating parameters according to the anatomical sites and anatomical regions, and outputting a predicted pre-operative plan or post-operative evaluation based on anatomical information. The system of the present invention has high accuracy and robustness, not only improves the surgical efficiency of clinical hip dysplasia, but also promotes the digitization of the pre-operative planning and post-operative evaluation systems for total hip arthroplasty, reduces the burden on patients, is conducive to standardizing parameters, and has broad application prospects.

Systems and methods for controlled sympathectomy procedures for neuromodulation are disclosed. A system for controlled micro ablation procedures is disclosed. A guidewire including one or more sensors or electrodes for accessing and recording physiologic information from one or more anatomical sites within the parenchyma of an organ as part of a physiologic monitoring session, a diagnostic test, or a neuromodulation procedure is disclosed. A guidewire including one or more sensors and / or a means for energy delivery, for performing a neuromodulation procedure within a small vessel within a body is disclosed.

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 discloses a multi-task autoimmune gastritis gastroscope image classification method, equipment and medium, and the method comprises the following steps: acquiring a plurality of gastroscope images of a patient, registering all the gastroscope images to obtain a similarity matrix; clustering the gastroscope images according to the similarity matrix to group the gastroscope images and obtain a plurality of gastroscope image groups; inputting each gastroscope image group into a first classification network and a second classification network respectively to obtain a first classification label and a second classification label, and obtaining a (first classification label, second classification label) result pair corresponding to the current gastroscope image group; wherein the first classification label comprises a gastric anatomical site including a fundus, a body and an antrum, and the second classification label comprises a lesion condition including normal and atrophy. The application takes into account the requirements of large receptive field, local fine-grained information and induction bias in anatomical region classification and lesion condition classification, and accurately classifies the gastroscope images.

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 invention provides a medical image intelligent auxiliary diagnosis health management system based on deep learning, and relates to the field of medical information.The method comprises the steps that firstly, image data are preprocessed to eliminate equipment noise and physiological artifact interference, and multi-scale space-semantic features of cross-time-phase images are extracted; the method comprises the following steps: capturing a lesion evolution trajectory by using feature map differential operation, performing pathological feature enhancement and redundancy suppression on difference features through spatial-semantic joint enhancement, and finally converting time sequence difference features into a color gradient map according with cognitive habits of radiologists by means of a generation mechanism. Therefore, misjudgment caused by motion artifacts and physiologic changes can be overcome, the spatial topological structure of a focus area is kept, and meanwhile, the distinguishability of tiny pathological changes is enhanced, so that tiny but key pathological feature expression is enhanced, and the original image anatomical sites are visually mapped.

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.