18 results about "Surgical patients" patented technology

A system and method for predicting spinal motion and vertebral locations and movement in surgeries through training and using predictive models generated using biomedical profiles of patient spines and surgical patient-specific features. A trained predictive model is used in combination with patient-specific features associated with a surgical patient such that during a real-time surgery the patient-specific features are provided to the trained predictive model and a segmental motion model is created. Using this real-time surgical data and interoperative data, the trained predictive model is updated which then used for updating the segmental motion model such that the updated segmental motion model may be used for producing a series of vertebral location predictions specific to movements and location of the spine of the surgical patient that may be provided to a surgical guidance system for use in performing the real-time surgery in accordance with a surgical plan.

A surgical patient support includes a foundation frame and a support top. The foundation frame includes a first column and a second column. The support top is coupled to the first column and the second column and is height adjustable relative to the foundation frame.

The utility model discloses a special patient dress for lower limb operation patient relates to medical instrument technical field, including elastic waistband, the bottom fixed connection of elastic waistband has trousers main part, the bottom of trousers main part is equipped with combination trouser pipe, the inside of combination trouser pipe is equipped with protection mechanism, combination trouser pipe includes two elastic trouser pipe. The utility model adopts above -mentioned structure, and the protection mechanism of this device provides reliable protection for patient postoperative wound, and arc shape cladding shell is fixed in elastic trouser pipe through magic tape, and the wound is covered with the cladding shell by utilizing the articulated member, and buffer spring provides support with arc shape support, avoids the wound to be pressed, and torsional spring, carousel, connecting rod and limit stop etc. Parts cooperate, realize the stable closure of cladding shell, and the rotating adjusting wheel can open the cladding shell and change dress quickly, and the design gives consideration to protection and convenience, and does not influence the operation of changing dress while protecting the wound, and effectively promotes the clinical nursing quality.

This invention provides a surgical robot system and its scanning method, relating to the field of robotics. The system includes a robot body, a scanning mechanism, and a robotic arm. The scanning mechanism includes a rotating base and two connecting arms. The rotating base is rotatably mounted on the robot body about a first axis extending in a front-rear direction. A through hole extending along the first axis is formed on the rotating base. The rear ends of the two connecting arms are respectively connected to the two sides of the rotating base. The robotic arm is disposed on the robot body, and its front end passes through the through hole and extends between the two connecting arms. A surgical instrument assembly is provided at the front end of the robotic arm. In this invention, after the robotic arm drives the surgical instrument assembly to the surgical position between the two connecting arms, the rotating connecting arms can precisely avoid each other from the robotic arm. This allows the connecting arms to rotate 360° when the robotic arm is in the surgical position, facilitating the monitoring of the position of the surgical instrument assembly within the surgical patient's body.

A limb cradle for use in a surgical procedure includes a first section including a mounting bracket configured to engage a support structure and a second section configured to extend and retract relative to the first section and the mounting bracket. The first section and the second section form a support surface. The support surface is extended and retracted relative to the mounting bracket in response to the extension and retraction of the second section.

A method is provided for intra-surgical use of a surgical patient health record in a teleoperated surgical system that includes a surgical instrument and a surgical instrument actuator, comprising: receiving user input commands to control movement of a robotic surgical instrument; tracking robotic surgical instrument actuator state in response to the user input commands; and transitioning robotic surgical instrument actuator state to a safety mode in response to the robotic surgical instrument transitioning to a prescribed actuator state.

The utility model relates to anesthetic mask related field, especially, anesthetic mask for surgical patient, including device body, the device body contains mask main part, air hole, shunt subassembly and external component, the mask main part lower extreme is provided with the inflation air bag and is provided with the valve core at the inflation air bag back, the inflation air bag bottom is provided with the protection pad, the air hole is established in the mask main part upper end one side, the shunt subassembly is connected in the air hole, the external component is located the mask main part is on and is connected with shunt subassembly, the shunt subassembly contains the shunt head, the external component contains the mounting seat and the central pipe, can realize the stretching and the bending adjustment of air hole and the oxygen supply equipment connection place, the convenient maintenance optimum connection position and use state, can realize the obstruction and the even dispersion to the oxygen that enters, the convenient maintenance oxygen evenness when entering the mask, prevent the local dead space problem in the mask.

The Ultrasound Lymphatic Treatment System and associated Manual and Ultrasound-Enhanced Lymphatic Drainage Method provide an integrated solution for preoperative and postoperative lymphatic stimulation. The system comprises a programmable ultrasound delivery subsystem, manual drainage implements, and a protocol-driven control module with real-time sensor feedback. The method includes individualized patient evaluation, mapping of lymphatic zones, and sequential application of manual drainage and low-frequency ultrasound along anatomically validated pathways. The system generates a patient-specific lymphatic zone map and session ultrasound parameter set, enabling reproducible, zone-targeted therapy. Closed-loop regulation of ultrasound parameters and contact pressure ensures safety and efficacy. The invention standardizes the combination of manual and ultrasound modalities, accelerates edema resolution, reduces pain, and supports immune recovery, addressing the lack of coordinated, evidence-based lymphatic care in surgical patients.

A seatbelt attachment for attachment to a webbing of a seatbelt assembly of a vehicle includes a chest section and a shoulder section. The chest section has a chest-section axis on which the chest section is elongated, and the shoulder section has a shoulder-section axis on which the shoulder section is elongated. A joint connects the chest section and the shoulder section. The joint is flexible relative to the chest section and the shoulder section. The joint has a rotational axis that is transverse to the chest-section axis and the shoulder-section axis. The shoulder section includes a back elongated along the axis. The shoulder section includes two legs elongated along the chest-section axis and aligned along the chest-section axis with the back. The legs each have a distal end and the legs extend from the back to the distal ends, respectively.

A surgical computing device may include a processor configured to implement two neural networks, a primary neural network trained with a procedure focus and support neural network trained with a patient focus. Data indicative of a surgical patient, a target procedure, and a proposed procedure plan may be input to the support neural network. The support neural network may generate a patient specific mapping from this data. The patient specific mapping and the data indicative of a surgical patient, a target procedure, and a proposed procedure plan may be input to the primary neural network. The primary neural network may output a modified procedure plan that is different from the proposed procedure plan. In an example, the support neural network is trained to isolate anatomical elements. And the primary neural network is trained to identify procedure plans associated with improved patient outcomes. Such a two-network approach may facilitate the use of diverse training data sets to better refine procedure plans for a variety of uses.

The application discloses an AI model-based perioperative medical detection image accurate analysis and management system and method, and relates to the technical field of medical image processing. The AI model-based perioperative medical detection image accurate analysis and management system and method comprises the following steps: S1, preprocessing chest radiograph structure feature data and historical statistical data of a surgical patient in a perioperative period; S2, discriminating and segmenting a structure overlapping area by gradient field response and geometric density correction for the overlapping structure area; S3, constructing a time sequence registration criterion by adopting a structure-guided rigid and affine joint registration algorithm; S4, fusing time sequence labels by fusing response and space fluctuation suppression; and S5, constructing, training and reasoning a structure function evaluation model by adopting multi-modal feature enhancement. The technical problem that data labels are confused due to structure overlapping and time sequence changes in the prior art AI analysis of chest radiographs in a perioperative period, and the stability and accuracy of AI model training and reasoning are affected is solved.

A valve fixing assembly includes a telescopic support frame and a fixing seat manually detachably fixed to the support frame. The application also provides an interventional surgery robot with the valve fixing assembly, which includes a slave end body and a valve fixing assembly telescopically arranged at the distal end of the slave end body. The valve fixing assembly is arranged on the delivery path of the elongated medical instrument between the slave end body and the surgery patient, and is used to fixedly mount the elongated medical instrument which has been delivered to the position and the function valve connected to the proximal end of the elongated medical instrument, so that the driving device on the slave end body can control more number of elongated medical instruments, the driving device is reduced while the delivery stroke is increased, and the control of the driving device on the slave end body is simplified.

The application discloses a multi-scene patient experience intelligent closed-loop management system, which is designed by combining a short message end and a webpage end based on a technology acceptance model of DevOps, combining perceived usefulness and perceived ease of use, embedding an inpatient nursing service experience evaluation scale, an ICU inpatient experience evaluation tool, a surgical patient operation nursing service experience scale and an inpatient unattended care service experience evaluation scale in the short message end and the webpage end, collecting patient experience data at different scene time points, and further realizing automatic analysis of the patient experience data and automatic feedback of the patient experience data, so as to solve the technical problems of the existing patient experience evaluation system, such as insufficient data collection pertinence, low data processing efficiency and difficulty in supporting continuous improvement management.

This application discloses a method and system for managing appointment information for day surgery patients, relating to the technical field of hospital visitation systems. The method includes: receiving a doctor's order for day surgery and performing real-name authentication and basic health information authorization; after real-name authentication and basic health information authorization are completed, parsing the corresponding electronic medical record, anesthesia assessment results, surgical complexity, and historical appointment data, and combining this with a corresponding pool of available time slots to generate multiple recommended surgical time slots; selecting any recommended surgical time slot and generating a corresponding day surgery digital package; and electronically signing the electronic informed consent form for the day surgery digital package. This application employs a patient-centered, closed-loop surgical appointment management mechanism that deeply integrates dynamic scheduling and multi-terminal real-time collaboration, breaking through the traditional resource-centric scheduling logic, changing the information blind spots of traditional methods, and avoiding excessively long waiting times for surgical patients at the hospital, thus preventing inconvenience to their lives.

This invention discloses a method for surgical patient wound care based on visual image processing, belonging to the field of image processing technology. The method acquires an initial multispectral image sequence of the surgical patient's wound area, including visible light and near-infrared images; inputs the visible light images into a pre-trained wound region segmentation network to extract wound contour features and generate a binary wound mask; extracts depth feature data of the wound tissue from corresponding positions in the near-infrared images based on the binary wound mask; constructs a three-dimensional morphological model of the wound base using the depth feature data and calculates the curvature gradient of each pixel in the model; and identifies the transition zone boundary between necrotic tissue and healthy granulation tissue in the wound base based on the curvature gradient. This method achieves a precise assessment of the wound condition through multispectral image co-processing and three-dimensional curvature gradient analysis.

The application provides a kind of intelligent management method for head and neck surgical patient medical record data, belong to data processing field, this method includes: obtain the final word unit in each historical medical record of head and neck surgical patient with search content;Using search algorithm, get the historical medical record needed by the doctor;According to the distribution of each final word unit in search content and the historical medical record needed by the doctor, get the priority of each historical medical record needed by the doctor;If using search algorithm, the medical record is not searched out;According to the distribution of each final word unit in historical medical record, get the historical medical record needed by the doctor, and then get the priority.The application aims to solve the problem that when the current search algorithm based on Boolean logic is used to search the medical record needed by the doctor from several historical medical records of head and neck surgical patients, the current search algorithm can only search the medical record needed by the doctor, but cannot get the priority of the searched medical record.

This invention discloses a method and system for predicting in-hospital mortality risk in patients undergoing acute type A aortic dissection surgery based on interpretable machine learning. The method includes: collecting clinical data from patients undergoing acute type A aortic dissection surgery and constructing an original feature dataset; evaluating the feature importance of each feature in the original feature dataset to obtain a score for each feature, and filtering based on the scores to obtain a core feature dataset; inputting the core feature dataset corresponding to the target patient into a pre-trained in-hospital mortality risk prediction model, and outputting the predicted in-hospital mortality probability of the target patient; calculating the feature contribution corresponding to the predicted in-hospital mortality probability, and generating an interpretable result for the mortality risk prediction of the target patient. The technical solution of this invention can reduce model complexity, improve model generalization ability, and improve prediction accuracy and interpretability.