36 results about "Patient registration" patented technology

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

The invention relates to the technical field of hepatitis diagnosis and treatment management, and discloses a block chain-based hepatitis patient full-period management method. The method comprises the following steps: creating a patient identity chain in a block chain network, and storing patient registration data and initial diagnosis information; full-cycle diagnosis and treatment data of a patient are obtained and divided into clinical examination, iconography, medication records and life sign monitoring data. Performing multi-dimensional cleaning on the clinical examination data to generate a standardized data set; inputting the iconography data into a pre-trained hepatitis feature extraction model, and outputting a liver injury feature set; verifying the integrity of the medication record, and generating a non-tampering medication time sequence chain; comparing the life sign monitoring data with preset health reference parameters to generate a sign deviation coefficient set; according to the method, data safety and traceability are guaranteed through the block chain, diagnosis and treatment data quality is improved through multi-dimensional data processing, patient privacy is protected, and reliable support is provided for full-period management of hepatitis patients.

1. Name of the product in this design: Graphical User Interface for Oral Implant Surgery Navigation Software for Electronic Devices. 2. Purpose of this design product: for use in an electronic device. 3. The key design features of this product are its graphical user interface. 4. The image or photograph that best illustrates the design points: Change state diagram 8. 5. Purpose of the graphical user interface: for navigation during dental implant surgery. 6. Human-computer interaction method of graphical user interface: Login in the main view and enter the changing state diagram 1. Select the item and click the "Open" button to enter the changed state diagram 2. Select "Robot Mode" in Change State Diagram 2 to enter Change State Diagram 3. Click the "Navigation" button to enter the changed state diagram 4. Click the "End" button to enter the changed state diagram 5. Click the right arrow to the right of "Tool Calibration" to enter the change state diagram 6. Click the "Accuracy Verification" button to enter the change status diagram 7. Click the right arrow to the right of "Patient Registration" to enter the status change diagram (Figure 8). Click the "Trolley Placement" button to enter the change status (Figure 9). After the trolleys are placed, the process enters the change state shown in Figure 10. The gray-coated area represents the content image.

The invention relates to a method for patient registration on a medical visualization system (1), wherein an image (10) of a body part (21) of a patient (20) is captured by a camera (2) of the medical visualization system (1), wherein, based on the captured image (10), a three-dimensional surface profile (11) of the body part (21) is estimated in a coordinate system (30) of the camera (2) by means of a trained machine learning method (6) and / or a computer vision method (7), wherein a scaling factor of the three-dimensional surface profile (11) is determined and / or estimated, and wherein preoperatively captured three-dimensional patient data (22) which are present in a patient coordinate system (31) are adapted to the estimated three-dimensional surface profile (11),wherein, based on a resulting adaptation result, a transformation rule (T) is determined between the coordinate system (30) of the camera (2) and the patient coordinate system (31), wherein the adaptation and / or the determination of the transformation rule (T) are carried out taking into account the determined and / or estimated scaling factor, and wherein the determined transformation rule (T) is provided. Furthermore, the invention relates to a medical visualization system (1).

1. The name of the design product: graphical user interface of patient registration of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface in the electronic device. 4. The picture or photo that best shows the design points: design 1 front view. 5. The electronic devices of design 1-design 8 are common designs, and other views of design 1-design 8 are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the product interface of design 1-design 8 is the interface for displaying and interacting with patient registration; patient registration for magnetic resonance examination, multiple site protocols can be selected during patient registration; in design 1, the main view interface is the interactive interface for displaying patient registration; in the main view interface, clicking the middle protocol adding button in the head module in the lower right corner of the interface or dragging the protocol from the left protocol box in the lower right corner of the interface to the right protocol box to increase the protocol and select the site, the interface change state diagram 1 is displayed; in the interface change state diagram 1 interface, after clicking the head button on the right side of the head module in the lower right corner to add the protocol, the interface change state diagrams 2-3 are displayed in turn; the main view interface of design 2-design 8 is the interactive interface for displaying multiple sites of patient registration, and site protocol can be added by clicking the site button.

Systems, methods and computer-readable media are provided for identification of patients or family member having genetic disease or probable genetic disease. During or after registration of a patient, parents, grandparents, or siblings of the patient are identified. If it is determined that one of the patient or the parents, grandparents, or siblings of the patient has been assigned with a diagnosis indicating a genetic disease, an alert for genetic disease or probable genetic disease for the patient or family member of the patient is provided. A clinician is then prompted to confirm or rule out the patient or family member inheriting the disease.

A system for registering a subject (e.g., physical) space to an image space is disclosed. Registration may be automatically performed by a registration system with a registration device. A registration device may acquire an image of a subject's space, generate a point cloud, and compare the point cloud to points in the preoperative image.

The invention provides an augmented reality system precision correction method based on three-dimensional marking field and one-side one-point positioning, which is used for preoperative closed-loop convergence of CT image-patient registration errors and instrument pose errors, and adopts an augmented reality system precision closed-loop correction system based on three-dimensional marking field and one-side one-point positioning. Comprising a data acquisition module, a coordinate unification module, a virtual-real fusion module, a closed-loop correction module and a user interaction module which are connected through a data bus, and the correction method comprises the following steps: firstly, establishing a unified coordinate system by using a three-dimensional marking field, and then forming six-degree-of-freedom full constraint of a rigid body through a one-side and one-point positioning strategy; a registration error is monitored and fed back in real time through a closed-loop correction mechanism, and surgical navigation information is presented on an augmented reality interface; through establishment of a unified coordinate system, spatial registration, closed-loop error correction and multi-view visual interaction, high precision, real-time performance and visualization of the whole process of surgical navigation can be realized, and the safety and precision of interventional surgery are remarkably improved.

According to various embodiments of the present invention, disclosed is a method for providing a user interface-based orthodontic treatment management service. The method may comprise the steps of: obtaining patient registration information; obtaining orthodontic treatment management information of a patient corresponding to the patient registration information; and displaying a treatment schedule of the patient on a calendar included in each of a patient UI and a doctor UI on the basis of the orthodontic treatment management information.

The invention provides an intelligent triage priority evaluation method and system based on deep time sequence learning, and relates to the technical field of medical triage, and the method comprises the steps: constructing a feature vector through processing patient registration, symptom text and physiological data, constructing a patient relation graph based on a symptom and department relation, and generating a node enhancement feature through a graph attention network. In combination with the historical treatment sequence of the patient, a time sequence enhancement priority feature is generated through a variational encoder, a priority score is obtained through multiple times of random inactivation deduction, a waiting queue is dynamically reordered according to the priority score, a consulting room distribution instruction is generated, and accurate and efficient evaluation of the triage priority is achieved.

The invention relates to a method for patient registration on a medical visualization system, in which images of a body part of a patient are captured by a camera of the medical visualization system, in which images of the body part of the patient are captured using a trained machine learning method and / or a computer vision method. A three-dimensional surface profile of the body part is estimated in a coordinate system of the camera on the basis of the captured image, a scaling factor of the three-dimensional surface profile is determined and / or estimated, and three-dimensional patient data in a patient coordinate system acquired before an operation is fitted to the estimated three-dimensional surface profile, a transformation rule between the coordinate system of the camera and the coordinate system of the patient is determined on the basis of the resulting fitting result, the transformation rule being fitted and / or determined in consideration of the determined and / or estimated scaling factor, and wherein the determined transformation rule is provided. The invention also relates to a medical visualization system.

A data system for managing information associated with an implantable device includes the implantable device. The data system is configured as a distributed database to store the information in two or more nodes of the data system. The implantable device is configured as one of the two or more nodes. The information includes at least one information entity. The at least one information entity includes at least one of the following: a patient identifiable information, a follow-up information, an implantable device information, or a lead system information.

A method for carrying out patient registration on a medical visualization system includes performing an initial patient registration, wherein parameters of a transformation rule between a reference coordinate system and a patient coordinate system are determined, and also, for at least one camera pose of a main camera of the medical visualization system, the method includes determining the camera pose in the reference coordinate system, capturing a patient image using the main camera, and at least once generating a two-dimensional projection image of preoperatively acquired three-dimensional patient data based on the determined camera pose of the main camera, taking into account the transformation rule, and minimizing a deviation between the captured patient image and the generated two-dimensional projection image corresponding thereto by adapting parameters of the transformation rule. The method includes providing the adapted transformation rule.

The invention discloses an oral health assessment method and system. The method comprises the following steps: receiving patient registration information; receiving an interface selection instruction, and entering a corresponding detection interface; performing AI image recognition on the intraoral image of the patient to obtain a tooth focus recognition result or a mucous membrane focus recognition result; performing gas electrochemical detection on the breath of the patient to obtain a breath detection identification result; performing liquid electrochemical detection on the saliva of the patient to obtain a caries state detection recognition result; and performing combined weighting operation on the recognition result according to a preset deep learning focus weight distribution coefficient to obtain an oral health assessment result. The invention provides a brand-new oral health assessment method, and provides a scheme for intuitively assessing oral health from visual, taste and other perspectives for ordinary people. The technical problems that traditional oral examination equipment such as CBCT and oral scanning is high in examination difficulty, poor in readability of common people, low in efficiency and not beneficial to overall oral health screening and oral disease prevention are solved.

According to various embodiments of the present invention, disclosed is a method for providing a user interface-based orthodontic treatment management service. The method may comprise the steps of: obtaining patient registration information; obtaining orthodontic treatment management information of a patient corresponding to the patient registration information; and displaying a treatment schedule of the patient on a calendar included in each of a patient UI and a doctor UI on the basis of the orthodontic treatment management information.

Systems and methods for performing patient registration using active stereoscopic vision are provided. One or more first images may be received, and at least one object in each first image may be identified. A pose of each object and a boundary on a mask positioned on a projector may be determined. A portion of the mask within the boundary may obscure a corresponding portion of the projector. One or more second images may be received, and at least one object and patient in each second image may be identified. The first coordinate system and the second coordinate system may each be registered to a third coordinate system. A transformation for associating the first coordinate system with the second coordinate system may be determined based on the registration of the first coordinate system and the second coordinate system.

A system for registering a subject (e.g., physical) space to an image space is disclosed. Registration may be automatically performed by a registration system with a registration device. A registration device may acquire an image of a subject's space, generate a point cloud, and compare the point cloud to points in the preoperative image.

The application relates to the technical field of medical equipment, and discloses a long bone shooting shake control method, system and device, the method comprising the following steps: a workstation receives patient registration information and issues a long bone splicing protocol to an exposure control board; the exposure control board acquires exposure parameters and a shooting frame rate, and simultaneously issues shooting frame rate information to a video analysis signal board; when shooting and exposure are started, the exposure control board transmits a shooting start signal to the video analysis signal board and forwards the signal to a camera, exposure procedures are coordinately controlled, and an image chain is shot at a certain frame rate; after shooting is completed, the video analysis signal board sends a shake amount of each frame of image relative to a previous frame of image to the workstation; the workstation adds the shake amount of each frame of image as a compensation amount to each frame of image for splicing; and a spliced image is output to an interface of the workstation.

A system for registering a subject (e.g., physical) space to an image space is disclosed. The registration may be automatically performed by a registration system having a registration device. The registration device may acquire an image of a subject's space.

A system for electrocardiography monitoring includes a wearable electrocardiography monitoring device and a clinical portal. The clinical portal associates the wearable electrocardiography monitoring device with an individual user. The clinical portal presents (1) patient-specific information and (2) device-specific information to a clinician.

A system or method according to the present disclosure includes a processor; and a memory coupled to the processor and having data stored thereon, the data, when processed by the processor, enabling the processor to: receive three-dimensional (3D) scan data generated with an imaging device depicting a portion of a patient; projecting the 3D scan data into a plurality of two-dimensional (2D) image planes including a first 2D image plane and a second 2D image plane; matching a region of the first 2D image plane with a region of the second 2D image plane corresponding to a common position in the 3D space based on a geometry of the portion of the patient; and registering the 3D scan data with the imaging device based on the matching.

This invention relates to the field of medical device technology and discloses a closed-loop control method for a personalized acupoint stimulation system, comprising the following steps: S1, patient registration and personalized protective gear preparation stage; S2, physician prescription generation stage; S3, prescription instruction issuance and stimulation execution stage; S4, real-time treatment data acquisition and feedback stage; S5, physician efficacy evaluation and syndrome differentiation review stage; S6, prescription dynamic optimization and closed-loop iteration stage. This invention, through customized protective gear preparation technology and built-in vibration isolation structure design, achieves alignment between the stimulation unit and the target acupoint, avoiding mutual interference during the operation of multiple stimulation units, and improving the accuracy and independence of acupoint stimulation. Simultaneously, through multi-channel independent control and refined collaborative timing design, it can fully realize the synergistic treatment logic of TCM acupoint combinations and the digital simulation of traditional tonification and sedation techniques, fully aligning with the core diagnostic and treatment concepts of TCM syndrome differentiation and treatment.

The invention provides an intelligent registration management system based on big data. The intelligent registration management system based on big data comprises a data acquisition module which is used for acquiring patient registration information, treatment records, doctor scheduling information, department resource conditions and patient historical behavior data in real time; the data processing module performs clustering processing on the patient group through a K-means clustering analysis algorithm; and the resource allocation module allocates doctor idle time, department resources and patient appointment time in real time by adopting a reinforcement learning algorithm. According to the intelligent registration management system based on the big data, the operation efficiency of a hospital is improved, it is ensured that a patient can obtain a timely doctor seeing service, the system can recommend the most appropriate registration time, department and doctor based on the personalized demand of the patient, the waiting time of the patient is greatly shortened, and personalized services conforming to personal preferences are provided.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

The invention relates to a method for patient registration on a medical visualization system (1), comprising: performing an initial patient registration, wherein parameters of a transformation rule (10) between a reference coordinate system (20) and a patient coordinate system (21) are determined, further for at least one camera pose (30) of a main camera (2) of the medical visualization system (1): Determining the camera pose (30) in the reference coordinate system (20), Capturing a patient image (12) using the main camera (2), and at least once: - generating a two-dimensional projection image (13) of preoperatively acquired three-dimensional patient data (60) starting from the determined camera pose (30) of the main camera (2) taking into account the transformation rule (10), and - minimizing a deviation (14) between the acquired patient image (12) and the corresponding generated two-dimensional projection image (13) by adapting parameters of the transformation rule (10); and Providing the adapted transformation rule (10).

The invention relates to a method for performing patient registration on a medical visualization system and a medical visualization system, the method comprising: performing an initial patient registration in which parameters of a transformation rule (10) between a reference coordinate system (20) and a patient coordinate system (21) are determined, and for at least one camera pose (30) of a main camera of the medical visualization system: determining the camera pose (30) in the reference coordinate system (20), capturing a patient image (12) using the main camera, and at least once: taking into account the transformation rule (10); generating a two-dimensional projection image (13) of preoperatively acquired three-dimensional patient data (60) based on the determined camera pose (30) of the main camera, and minimizing a deviation (14) between the captured patient image and the generated two-dimensional projection image (13) corresponding to the captured patient image by adapting parameters of a transformation rule; and providing the adapted transformation rule.

Methods and systems for improving healthcare through community engagement are provided. In one embodiment, a method includes initializing a community health application on a computing device for an engagement session with a candidate patient. A client identification sequence is performed using the application to enroll the candidate patient as a new community health client or lookup the candidate patient as an existing community health client. Certain client information is collected from the community health client via interaction with the computing device by a healthcare facilitator during the engagement session. The community health application controlling the computing device by presenting displays and reading data in relation to the displays. The client information is processed to select a clinical sequence for the engagement session with the community health client based on the client information. In another embodiment, the method is directed to processing and distribution of the client information to third parties.