545 results about "In patient" patented technology

The invention relates to a smart hospital collaborative diagnosis and treatment management method and system, and the method comprises the steps: receiving the appointment registration information of a patient, building a data mapping relation with a hospital information system based on the appointment registration information, and generating a corresponding treatment identifier; after the patient arrives at the hospital, information of the sign-in patient is collected, a sign-in sequence is established, and according to appointment registration information and diagnosis and treatment service data parameters corresponding to the sign-in patient, a treatment serial number is dynamically distributed and a waiting prompt is pushed; after the doctor receives the diagnosis, generating an examination item list based on the preliminary diagnosis information input by the doctor, obtaining the real-time state and queuing data of equipment required by each examination in the examination item list, constructing an execution time window of examination items, generating an optimal examination sequence, and pushing an examination guide path to the patient terminal; and after the patient finishes seeing a doctor, generating a personalized propaganda and education task list according to the diagnosis and treatment information of each stage, and pushing the personalized propaganda and education task list to the patient terminal. The method has the effect of improving the hospital operation efficiency.

The invention relates to the technical field of sleep medical diagnosis, and discloses a method for diagnosing obstructive sleep apnea of a patient. The method comprises the steps that nasal pressure airflow, thoracico-abdominal breathing effort and blood oxygen saturation waveform of all-night sleep are obtained, and standardized signal flow is generated through quality evaluation and compensation. And executing sleep stage perception respiratory event analysis, and outputting an event sequence with a time sequence and a type label. And inputting the sequence into an apnea association network for event chain mining and mode extraction, and generating an event association graph and a key pathological feature vector. And performing severity grading of sleep structure dependence, outputting severity indexes of sleep stages, and finally deducing a personalized treatment path. According to the method, the accuracy of event interpretation is improved by sensing the sleep stages, the dynamic mode between the events is mined by using the association network, and more refined diagnosis is realized.

Photoacoustic medical-device navigation systems and methods provide alternatives to those incorporating fluoroscopy for medical-device navigation in patient bodies. A medical-device navigation system can include an optical-fiber stylet, ultrasound transducers, and a console. The stylet can transmit light to an instant location of a distal tip of an elongate medical device in a patient's body and, thereby, irradiate endogenous chromophores to generate ultrasound-frequency photoacoustic pressure waves therefrom. The ultrasound transducers can detect ultrasound signals corresponding to the photoacoustic pressure waves. The console can instantiate medical-device navigation processes for navigating the elongate medical device via the stylet as the elongate medical device is advanced to the target location in the patient's body. The medical-device navigation processes can include acquiring ultrasound-signal data from the ultrasound transducers, reconstructing images from the ultrasound-signal data, and displaying reconstructed images on a display for navigating the elongate medical device to the target location in the patient's body.

The present invention relates to an AI-based system and method for generating enhanced radiology reports. The system comprises a database for storing multimodal patient data, a natural language processing (NLP) module for extracting clinical information, and a machine learning module for correlating the clinical information with radiology images to identify diagnostic insights. An AI-based report generation module analyzes the images and clinical information to generate a preliminary report, which is refined based on radiologist input. The generated report is then integrated into the patient's electronic health record. The system employs techniques such as multimodal deep learning, active learning, explainable AI, and federated learning to enhance diagnostic accuracy, capture expert feedback, provide transparency, and enable multi-institutional collaboration. The invention aims to improve the accuracy, efficiency, and value of radiology reporting in patient care.

The invention of the gradient porous structured sacral prosthesis and the manufacturing process aims to create an alternative replacement for bone loss in patients who require bone replacement. The gradient porous structured sacral prosthesis consists of an artificial bone fragment, a metal rod, and a set of screws for fixing the fragments. The manufacturing process consists of seven steps: Identifying the position and boundaries of the bone, First-step topology optimization, Second-step topology optimization, Defining the structural pattern and unit cell size, Designing the artificial bone implant, Mechanical performance testing of the implant, and Fabrication of the sacral implant. The devices and processes according to the present invention are clearly sequenced and characterized. Modification or change in the manufacturing sequence or use may reduce the capabilities of the present invention or make it unusable for the purposes of the present invention.

Described herein are antibodies, particularly monoclonal antibodies, that specifically bind to human HER2 and are useful for the treatment of cancer in patients.

The invention relates to the technical field of chronic obstructive pulmonary disease rehabilitation medical equipment and services, discloses a chronic obstructive pulmonary disease multi-mode respiratory training system based on behavioral design science, and aims to solve the technical problems that an existing respiratory training product is poor in patient compliance, poor in user experience and lack of personalized behavior guidance. The system comprises a hardware equipment cluster and a software service platform, a multi-dimensional intervention architecture is constructed based on an FBM behavior model, and closed-loop services of respiratory training, drug management, health monitoring and rehabilitation support are realized through an motivation promotion module, a capability optimization module, a multi-sensory prompt module and a data interaction module. The system effectively stimulates the training enthusiasm of a patient, reduces the operation threshold, improves the training and medication compliance, improves the respiratory function and life quality of the patient, reduces the consumption of medical resources, and has remarkable clinical application value and social and economic benefits through deep fusion of behavioral design and a multi-modal rehabilitation technology.

A quality assurance method for a radiotherapy device is disclosed. The method comprises disposing a phantom on a patient couch of the radiotherapy device, moving the patient couch to simulate motion of a subject, determining a measured value associated with the phantom, and comparing the measured value to an expected value. A radiotherapy device is also disclosed, the radiotherapy device comprising a radiation source configured to apply a radiation beam, a patient couch, a phantom disposable on the patient couch, and a controller communicatively coupled to the patient couch. A computer-readable medium storing instructions is also disclosed. A phantom for a radiotherapy device is also disclosed.

The invention discloses a multi-modal drug recommendation method and system based on large language model driving, and relates to the technical field of medical informatics and artificial intelligence. The invention aims to solve the limitation of an existing drug recommendation model in the aspects of patient characterization construction, drug multi-modal modeling and large language model application. Comprising the following steps: constructing patient characterization, and aligning a patient state and a potential medication space in a characterization learning stage through a cooperative prompt project driven by a large language model; multi-modal drug characterization is constructed, and clinical logic and chemical characteristics of drugs are deeply depicted through semantic expert and molecular structure expert dual-channel design; a'static anchoring dynamic 'time sequence reasoning mechanism is provided, context modulation is performed on a dynamic evolutionary clinical event sequence by utilizing a static treatment baseline formed by global medication history, and finally, an accurate and safe medication combination is generated through a label sensing prediction module. According to the method, the accuracy, safety and clinical logic self-consistency of drug recommendation are remarkably improved.

The invention provides a tracheal catheter fixing and patient falling prevention linkage nursing device. The device comprises a tracheal catheter fixing module, a falling prevention detection module, an alarm intervention module and an interaction management module. The tracheal catheter fixing module is used for ensuring that the tracheal catheter does not slip or shift in the body position change or nursing process of a patient; the anti-falling detection module is used for monitoring the body position change of a patient on the nursing bed in real time; the alarm intervention module is used for giving an alarm to medical staff when potential dangers are monitored; the interaction management module is used for optimizing a risk reminding strategy in combination with medical care feedback of the device in the use process; by means of the linkage mechanism of catheter fixing and body position monitoring, accurate recognition and intelligent early warning of tracheal catheter slipping and the risk that a patient falls off a bed are achieved, and the safety and the active intervention capacity of clinical nursing are remarkably improved.

Existing pulse oximeters have impaired accuracy in measuring blood oxygen levels (SpO2) in patients of color, where the presence of melanin in the skin tends to interfere with measurements of pulse oximetry, resulting in an overestimation of SpO2. Thus, the pulse oximeter often reports a higher oxygen saturation for patients with darker skin tones, often with increasing bias as the actual saturation (SaO2) decreases. This bias is further reinforced by calibration based on individuals with light skin pigmentation, which may lead to inequitable healthcare for patients of color. Our proposed solution is to modify current pulse oximetry calculations—which utilize the relative tissue absorbance of red and infrared light to estimate SpO2—to account for the concentration of melanin by additionally measuring the skin absorbance of UV˜A light. This derived concentration of melanin can then be used to modify the pulse oximetry algorithm output, thus estimating SpO2 more accurately for patients of color.

This invention discloses a method for locating epileptogenic zones based on high-frequency oscillations and connectivity, comprising the following steps: 1. Acquiring SEEG data and selecting representative channels; 2. Filtering to acquire 54-200Hz signals and selecting baseline and target data; 3. Acquiring normalized high-frequency energy; 4. Calculating time and energy coefficients to obtain a high-frequency epileptogenicity index; 5. Filtering to acquire 12-45Hz signals; 6. Calculating nonlinear regression analysis; 7. Calculating total intensity; 8. Defining and calculating the connectivity high-frequency epileptogenicity index and evaluating performance. This invention can accurately locate epileptogenic zones in patients with different seizure patterns, and has potential application value in epilepsy treatment.

A deep learning method, system, device, and medium for drug recommendation are disclosed. The method includes: establishing drug representations; establishing patient representations; and generating drug prediction results. These three steps first utilize an RNN to establish patient representations, then integrate patient diagnostic information, treatment information, and historical medication information, employing dual attention to assign weights at different element levels in patient history and single visits, and finally using a neural network for drug recommendation. Furthermore, patient similarity can be incorporated for drug recommendation, effectively improving the accuracy and safety of drug recommendations. The system, device, and medium, through the storage and utilization of relevant functional modules, realize drug recommendation using deep learning methods. As a medical auxiliary tool, it can significantly improve the discrimination quality and work efficiency of pathologists.

The present disclosure relates to methods of treating PTEN-deficient metastatic hormone- sensitive prostate cancer (mHSPC) in patients in need thereof, the methods comprising administering to the patients a combination comprising capivasertib or a pharmaceutically acceptable salt thereof; and abiraterone or an ester prodrug thereof, or a pharmaceutically acceptable salt thereof.

This utility model relates to the field of urine collection bag technology and discloses a urine collection bag for bladder irrigation in urological patients. It includes a lifting arm and a urine collection bag. A hook is fixedly connected to the middle of the upper surface of the lifting arm, and a warning light is installed in the middle of one side of the lifting arm. A power supply is installed inside the lifting arm. Slides are formed on both sides of the lifting arm. A conductive block is fixedly connected to one side of the bottom wall of the slide, and a spring is fixedly connected to the other side of the bottom wall of the slide. An inlet pipe is fixedly connected to one side of the upper surface of the urine collection bag, and a drain pipe is fixedly connected to the middle of the lower surface of the urine collection bag. This urine collection bag for bladder irrigation, through the design of an observation window and built-in scale lines, reduces the interference of bag deformation and light refraction on readings. Nursing staff can intuitively and accurately read the volume of irrigation waste fluid, ensuring accurate recording of intake and output balance, and providing reliable data support for assessing the patient's bladder irrigation effect, bleeding, and renal function recovery.

The utility model discloses a breast cancer postoperative affected limb position adjusting device, which belongs to the technical field of medical instruments and comprises a scapular fixing pad and an affected limb adjusting pad, the scapular fixing pad is laid under the back of a patient and connected with the affected limb adjusting pad, and the affected limb adjusting pad can slide relative to the scapular fixing pad to adjust the height of the affected limb adjusting pad. A diseased limb placing cavity is formed in the diseased limb adjusting pad, the width of the diseased limb placing cavity is adjusted according to the height of the diseased limb adjusting pad, when the height of the diseased limb adjusting pad is increased, the width of the diseased limb placing cavity is synchronously increased, and when the height of the diseased limb adjusting pad is reduced, the width of the diseased limb placing cavity is synchronously reduced. The height of the affected limb adjusting pad can be adjusted according to the weight of a patient, meanwhile, the width of the affected limb containing cavity is synchronously adjusted, the hand of the patient is always higher than the elbow, the elbow is higher than the heart, backflow of blood or lymph is facilitated, and the affected limb containing cavity can be used for containing the limbs of the patient all the time.

The invention relates to medicine, and more particularly to a novel method for the control of stepping movements in patients with traumatic injuries or diseases of the spinal cord and / or the brain using transcutaneous electrical stimulation, which includes continuously stimulating the spinal cord at the level of the C5-C6, T11-T12 and L1-L2 vertebrae and simultaneously creating a synergistic effect to control foot movement by means of spatial-temporal stimulation of the flexor and extensor muscles of the lower leg in the corresponding phases of the gait cycle. This combined spinal and muscular stimulation enables a coordinated, complete gait, in which the patient is able to control the stepping movements, including controlling foot movements.

1. Name of the product in this design: Arm-type electronic blood pressure monitor (20 series). 2. Purpose of this design: For measuring blood pressure in patients, suitable for hospitals and homes. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design.

The present application relates to the medical technical field, specifically relates to a kind of early postoperative adverse outcome prediction method for craniopharyngioma patient, comprising: extracting preoperative data and label data of patient, store in database;The data in database is preprocessed, is randomly divided into training set and verification set according to preset proportion, and the training set is handled using the minority class oversampling technique, obtain the training set after processing;From the training set after processing, the most predictive value feature subset is identified and screened;Predictive model is constructed;The predictive model is evaluated and compared, and the best model is selected as the final deployment model;Receive new preoperative data of patient, input final deployment model, output prediction result.The present application fills the blank of existing prediction craniopharyngioma postoperative early overall adverse outcome model, overcomes the single data processing method in existing prediction technology, feature selection is not accurate enough, prediction accuracy is not high and lacks clinical usability and other problems.

The invention provides an illness state tracking and early warning system based on a knowledge database, and the system comprises a data module which is responsible for collecting and integrating clinical knowledge and patient data information in the cardiovascular field; the survival rate prediction analysis module is used for extracting pathological features from the patient model, performing survival rate prediction analysis by using a deep learning algorithm and a neural network model, and displaying a prediction result to a physician in a visual report form; and the illness state auxiliary tracking, studying and judging module monitors the illness state change of the patient in real time, analyzes the illness state development trend and risk factors in combination with a knowledge graph and a patient model, and provides treatment scheme recommendation and early warning notification functions. Through the beneficial effects of integrating medical resources, improving data security, accurately predicting the survival rate of a patient, monitoring and early warning in real time, widely applying a knowledge graph, being friendly to user interaction, feedback circulation and continuous optimization and the like, powerful support is provided for prevention, diagnosis and treatment of cardiovascular diseases.

This application relates to the field of smart medical technology and discloses a method and system for monitoring medication adherence in patients during ovulation induction cycles. This invention significantly improves the accuracy and reliability of ovulation induction medication adherence assessment in complex home environments by deeply integrating the real physical boundaries of the human body, the mechanical rigidity constraints of instruments, and the fluid dynamics laws of porous media into a visual monitoring framework. Specifically, this application utilizes dynamic pixel physical mapping and biomechanical filtering technology to effectively eliminate the interference of lens distortion and physiological tremors, reconstructing a pure kinematic sequence. By using a finite state machine with dual boundaries of force application and limit, it accurately identifies and coherently processes the mid-process pauses caused by patients' fear of pain, completely solving the defect of traditional algorithms that are prone to logical breaks.

The invention provides an orthopedic spinal post-operation protective device, which belongs to the medical field and comprises a lower hoop and an upper hoop, one end of each of the lower hoop and the upper hoop is rotatably connected with a connecting hoop, one side of each of the lower hoop and the upper hoop is provided with an inflatable bag, one end of each of the two inflatable bags is adhered to one side of each of the two connecting hoops, and the other end of each of the two inflatable bags is connected with the other side of each of the two connecting hoops. First inflation nozzles are fixedly installed on one sides of the two inflation bags correspondingly, and a plurality of first threaded holes are evenly formed in the top of the lower hoop sleeve and the bottom of the upper hoop sleeve. The upper arm fixing assemblies are arranged on the two sides of the upper hoop sleeve, after the protection device is worn on a patient, the upper arms of the patient can be fixed by means of the two upper arm fixing assemblies, the situation that the arms shake greatly and back skin and flesh are pulled when the patient carries out postoperative rehabilitation training is avoided, meanwhile, the upper arm fixing assemblies only fix the upper arms, and the operation is convenient. And the forearm can still normally perform various operations, such as holding various articles, so that the use is more convenient.

This invention discloses a catheter anti-entanglement device, belonging to the field of medical device technology. The device includes a main frame, a catheter holder, a drive shaft, and a gear set. The drive shaft is connected to the lifting mechanism of the patient bed or the backrest adjustment mechanism, and through the gear set and rack transmission structure, converts the movement of the patient bed into the synchronous lifting movement of the catheter holder, thereby dynamically adjusting the catheter's reserved length and preventing catheter entanglement caused by changes in patient position. The device also includes a damping adjustment component, which increases the clamping damping of the catheter when the catheter clamping device rises, effectively preventing the catheter from sliding and pulling. Furthermore, the catheter clamping device adopts a clamping wheel bracket structure with a torsion spring shaft, facilitating quick installation and release of the catheter. This invention achieves adaptive adjustment of catheter height and anti-slip locking through pure mechanical linkage, improving treatment safety, patient comfort, and nursing efficiency.

The utility model provides a multifunctional turning-over pad for preventing pressure injury, which relates to the technical field of medical auxiliary appliances, and comprises a turning-over pad main body, two parallel recesses for placing legs, an arc-shaped part and an arc-shaped surface arranged on the turning-over pad main body, the arc-shaped surface is formed on a contact surface between the arc-shaped part and a bed body and is easy to turn over towards two sides, and the arc lines are asymmetrical; the plane parts are arranged on the two sides of the turning-over cushion body, when the two legs are located on the same vertical line, the plane parts and the bed body form a supporting face, and the protruding parts are formed by digging the two sunken parts of the turning-over cushion body to form protrusions located between the two legs. According to the turnover mat, the water bags located in the turnover mat body are arranged, in the turnover process of the turnover mat body, the turnover mat can easily help a patient to turn over in a water weight transfer mode, meanwhile, after the turnover action of the patient occurs, pressure damage between the two legs is prevented, and the effect of the turnover mat is more comprehensive.

The invention discloses application of serum MSTN (myostatin) as a marker in preparation of a metabolism-related steatohepatitis diagnosis product, and belongs to the technical field of biomedical detection. The biomarker for noninvasive diagnosis of the metabolism-related steatohepatitis is serum myosostatin MSTN, and the biomarker can be used as a detection target for preparing a noninvasive diagnosis product of the metabolism-related steatohepatitis. As an independent biomarker, the MSTN is higher in diagnosis efficiency in AST normal patients; the MSTN and the ALT or the AST are jointly applied, so that the specificity and the positive predictive value (PPV) of single use of the ALT or the AST can be improved, the misdiagnosis rate of the ALT or the AST can be reduced, non-MASH patients can be more accurately excluded, and unnecessary, invasive or expensive subsequent examinations are reduced.

This invention relates to a method for continuous motion prediction in patients with cerebral palsy. The method includes: acquiring sEMG data, IMU data, and ground truth joint angles of the subjects and constructing a dataset; dividing the dataset into training, validation, and test sets for each subject according to time sequence; standardizing the collected EMG and IMU data for each subject to obtain standardized sequence data; inputting the standardized sequence data of each subject into a trained prediction network, which includes parallel TCN and GAT modules. The TCN module extracts IMU temporal features, and the GAT module extracts sEMG spatial features. The two types of features are fused through a multimodal fusion module and then input into a BiLSTM network for bidirectional temporal modeling to capture the bidirectional temporal dependence of movements. Finally, a regression output module outputs the standardized predicted angles. Compared with existing technologies, this invention has advantages such as achieving continuous and accurate motion prediction for patients with cerebral palsy and enhancing cross-subject generalization ability.

In MRI examinations of patients with acute ischemic stroke, it is often difficult for patients to fix and hold their heads due to impaired consciousness or limb weakness. Therefore, this invention provides a tool that is structurally rational, easy to operate, and effectively enhances the head fixation effect. [Solution] A tool to support MRI examination, comprising a base 1, a head rest member 2 with adjustable anterior-posterior position, a lateral limiting member 3 with an elastic buffer layer, and an adjustment mechanism 4. The head rest member slides relative to the base to adapt to the length of the patient's neck. The lateral limiting member is biased inward by a compression coil spring and flexibly holds both sides of the head with an elastic buffer layer, absorbing and suppressing involuntary movements. The adjustment mechanism uses a single reverse-threaded adjustment rod to synchronously and symmetrically move the left and right limiting plates, enabling precise adjustment according to the head circumference. This effectively limits multi-directional micro-movements of the head during imaging and improves image stability.

The utility model relates to an auxiliary device, belongs to the technical field of nursing equipment, and particularly relates to a clinical nursing auxiliary getting-up device which comprises a bed body, a mounting groove is formed in the bed body, a backup plate is movably mounted in the mounting groove through a rotating shaft, and a turnover groove is formed in the lower portion in the mounting groove. A supporting plate is movably installed in the overturning groove through a rotating shaft, two sets of positioning mechanisms are arranged on the backup plate, each positioning mechanism comprises a fixing base, a clamping plate, a limiting plate and an adjusting bolt, the fixing bases are movably installed on the backup plate, the clamping plates are movably installed on the fixing bases, and the limiting plates are vertically and fixedly installed on the fixing bases; the limiting plate penetrates through the upper wall face and the lower wall face of the clamping plate, and the adjusting bolt is of a cylindrical structure with threads and is movably installed on the fixing base. According to the automatic bed leveling device, the effect of automatically leveling the bed after the patient gets up and resets is achieved, and the situation that the bed needs to be tidied before the patient gets up and lies down is avoided.

Amisulpride can be used to treat (especially prevent) postoperative vomiting in patients undergoing surgery, where postoperative vomiting could be potentially dangerous.

Compounds, compositions, and methods are provided for treating atopic dermatitis (AD) in patients in need.