18 results about "Patient dose" patented technology

The invention relates to the technical field of nasopharyngeal carcinoma radiotherapy, in particular to a nasopharyngeal carcinoma radiotherapy dose automatic prediction method based on deep learning, and the method comprises the following steps: S1, analyzing obtained original data; s2, writing a program to pre-process all the original data in batches; s3, calculating a corresponding dose volume histogram according to the anatomical contour and the patient dose distribution; and S4, inputting the preprocessed data into a designed deep learning model for dose distribution training and prediction, and comparing with an existing dose prediction method to verify the innovativeness and feasibility of the scheme. Dose prediction is automatically carried out through the deep learning model, manual rule design is not needed, high-quality dose distribution can be rapidly generated, batch preprocessing is carried out on all original data, dose distribution training and prediction are carried out by inputting the data into the designed deep learning model, the calculation performance is improved, and the method is suitable for large-scale popularization and application. And the training and reasoning efficiency is improved.

Wearable blister card magazines, blister card transfer trays and systems, and standalone medication magazines including one or more compartments that hold respective sleeves of medication, as well as a respective blister card, are provided. The blister card(s) include blisters of medication, and the blister sleeve(s) include openings designed to align with the blisters of the blister card(s). The removal of medication from each blister may be automatically detected and digitally recorded, along with the time and the individual who removed the medication. In addition to permitting alignment of each blister on the blister card, the openings on the sleeve also permit the ejection of the medicine through the openings without being removed from the sleeve. Intelligent medication management systems configured to provide end-to-end management and monitoring for patient dosing regimens are also provided.

The invention discloses a radiotherapy robustness optimization method and system, and the method comprises the steps: obtaining the clinical diagnosis and treatment information and anatomical feature information of a patient, and outputting unbiased scene dose three-dimensional distribution based on a dose prediction model; setting the maximum placement deviation of the patient, and obtaining deviation scene dose three-dimensional distribution corresponding to each placement deviation scene based on the dose three-dimensional distribution of the patient randomly moved in the maximum placement deviation range; for each round of circulation of robustness optimization, performing optimization calculation on the dose three-dimensional distribution of the unbiased scene to obtain optimized dose distribution, and calculating the sum of difference values between the optimized dose distribution and the dose three-dimensional distribution of each biased scene to obtain a target function value; when robustness optimization iteration reaches a preset number of times, optimization is ended, and a final optimization plan and corresponding final dose three-dimensional distribution are obtained; and for the final optimization plan, moving the final dose three-dimensional distribution in the maximum positioning deviation range, obtaining a deviation scene DVH curve, and evaluating the final optimization plan.

The invention relates to the technical field of radiotherapy dose verification, and particularly discloses a cyber knife radiotherapy plan point dose and plane dose synchronous verification method, which comprises the following steps: constructing cyber knife patient dose verification equipment by a pinpoint ionization chamber, an EBT3 film, solid water and a gold label; scanning the verification device by using the simulated positioning CT to obtain a verification device CT image; the CT image of the verification equipment is guided into the treatment plan of the wave knife patient, and a model body plan of gold mark tracking is generated; registering the CT image of the patient radiotherapy plan with the CT image corresponding to the motif plan, and transplanting beam information in the patient radiotherapy plan to the motif plan; a high-resolution beam tracking algorithm is adopted to recalculate the dose distribution of the treatment beam on the phantom plan image; and recording the median dose of the sensitive volume of the ionization chamber, and exporting the dose distribution diagram of the layer where the film plane is located in the motif plan so as to carry out absolute point dose analysis and plane dose analysis. According to the invention, the error detection rate of patient plan verification can be improved.

A method for administering a dosage of Apixaban to a patient for the treatment or prevention of thrombosis, the method comprising: administering a dosage of Apixaban to the patient, wherein the dosage of apixaban is determined by: receiving patient data relating to a patient, wherein the patient data includes a kidney function metric of the patient; and processing, using one or more processors, the patient data with a dosage calculator to determine the dosage of Apixaban for the patient, wherein the dosage calculator is derived from a plasma level prediction model that predicts Apixaban drug plasma levels, and the dosage calculator determines the dosage for the patient based in part on the kidney function metric of the patient.

To provide a system and method for projection-based spectral X-ray imaging such as computed tomography (CT) imaging for improving image quality such as reduction of noise, improvement of a contrast-to-noise ratio (CNR) and patient dose efficiency.SOLUTION: Provided is a system and method that includes performing a projection-based material decomposition based on spectral X-ray data to generate a set of material-based sinograms, and performing a weighted combination of at least portions of at least two material-based sinograms of the set of material-based sinograms into a reconstructed image based on material weighting in the projection domain.SELECTED DRAWING: Figure 11

This application relates to the field of CT imaging technology. A collimation device on a variable incident light angle X-ray attenuation system includes: a X-ray filter; an A-level collimator disposed at the incident end of the X-ray filter; and a B-level collimator disposed at the exit end of the X-ray filter. The opening centers of the A-level and B-level collimators are symmetrically arranged along the perpendicular bisector of the imaging field range perpendicular to the light plane, based on the X-ray source focal spot, to compensate for X-ray divergence deviation caused by the X-ray source focal spot and limit the X-ray incident width. While ensuring CT scan imaging quality, this application achieves the dual technical effects of improved X-ray utilization efficiency and reduced patient dose, effectively solving a series of scattering-related technical problems associated with traditional X-ray filtering devices alone.

The utility model discloses a Parkinson's disease patient dose visualization partition medicine box, belongs to the technical field of partition medicine boxes, and comprises a partition medicine box and a partition plate, the partition plate is fixedly connected in the partition medicine box, the interior of the partition medicine box is divided into two partition medicine chambers through the partition plate, and storage assemblies are installed in the two partition medicine chambers. The corresponding storage chambers are opened through the handles on the first cover plate, medicine of different types and doses can be accurately placed in the storage chambers according to the single dosage of a patient, medicine taken once is stored in each storage chamber, confusion is avoided, after filling, the positioning grooves and the positioning rods are connected in a clamped mode, the first cover plate is fixed in an abutting mode through the positioning plates, the medicine can be effectively prevented from being spilled out, and the medicine taking efficiency is improved. A second medicine taking groove is matched with a first medicine taking groove of a target storage chamber by rotating a rotating plate, medicine can smoothly slide into the medicine taking chamber, a second cover plate is opened through mutual cooperation of a first magnetic block and a second magnetic block, the medicine box is obliquely separated, a patient can conveniently take out the medicine, and the whole medicine taking process is easy and convenient to operate.

The present invention relates to the technical field of radiotherapy dose verification, and specifically discloses a method for synchronous verification of point dose and plane dose of CyberKnife radiotherapy plan, comprising: constructing a CyberKnife patient dose verification device by a pinpoint ionization chamber, EBT3 film, solid water and a gold mark; using a simulated positioning CT scan verification device to obtain a verification device CT image; importing the verification device CT image into the CyberKnife patient treatment plan to generate a gold mark tracking phantom plan; registering the CT image of the patient radiotherapy plan with the CT image corresponding to the phantom plan, and transplanting the beam information in the patient radiotherapy plan to the phantom plan; using a high-resolution beam tracking algorithm to recalculate the dose distribution of the treatment beam on the phantom plan image; recording the median dose of the sensitive volume of the ionization chamber, and exporting the dose distribution map of the layer where the film plane is located in the phantom plan to perform absolute point dose analysis and plane dose analysis. The present invention can improve the error detection rate of patient plan verification.

Systems and methods are provided for identifying therapeutic zones where there is glycemic dysfunction of a specific type that can be addressed by making strategic changes to behavior and / or therapy parameters. Systems and methods described herein evaluate large historical data sets to: identify a therapeutic zone or zones with glycemic dysfunction that are most readily addressable; quantify the glycemic impact of a plurality of different therapeutic adjustments in terms of either adjustments to historical doses or the parameters of a prospective dosing strategy to determine the highest possible improvement; and / or identify patient dosing strategies to provide therapy recommendations adapted for the patient's preferred behavioral dosing strategy.

The invention provides a VMAT plan patient dose verification prediction method and system based on Bayesian model uncertainty quantification, and is applied to the technical field of medical data processing. According to the method, a multi-modal classification model is constructed, a radiation field complexity feature and a flux graph are used as input, one-dimensional and two-dimensional branches are used for feature extraction and then fusion, a full connection layer is used for output, an Adam optimizer is used for training, variational Monte Carlo is combined, and data, the model and total uncertainty are calculated through sampling. Based on classification model output, through LASSO dimensionality reduction, in combination with classification probability and uncertainty, MLP prediction GPR is constructed, self-defined weighted MAE training is used, test samples are classified according to clinical thresholds, intervention is triggered by exceeding thresholds, and a patient dose verification prediction result is generated.

Systems and methods are provided for identifying therapeutic zones where there is glycemic dysfunction of a specific type that can be addressed by making strategic changes to behavior and / or therapy parameters. Systems and methods described herein evaluate large historical data sets to: identify a therapeutic zone or zones with glycemic dysfunction that are most readily addressable; quantify the glycemic impact of a plurality of different therapeutic adjustments in terms of either adjustments to historical doses or the parameters of a prospective dosing strategy to determine the highest possible improvement; and / or identify patient dosing strategies to provide therapy recommendations adapted for the patient's preferred behavioral dosing strategy.

The present invention relates to pharmacogenomic decision support for modulators of NMDA, glycine and AMPA receptors. Used for identifying diagnosed as having therapeutically resistant or refractory depression, pain or other clinical indications and suitable for accepting N-methyl-d-aspartate receptor antagonists, glycine receptor beta (GLRB) modulators or alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptors (AMPAR) Methods for patients of therapy include determining an appropriate drug, an optimal dose per patient, and determining which patients are not suitable for receiving the therapy. Pharmacogenomic clinical decisions support the determination of a combination of targeted single nucleotide polymorphisms and clinical values, or targeted single nucleotide polymorphisms, targeted ketamine-specific expansion and contraction of topologically associated domains, and clinical values. The methods described herein allow for more efficient determination of which patients will experience drug efficacy and which patients will experience adverse drug events. The method provides personalized patient dose suggestions, drug administration frequency, and drug selection suggestions.

In a method to determine a patient (radiation) dose distribution (13), it is provided to calculate, from a measured signal (7) of a detector (6) placed behind a region of interest, a dose distribution (11) for a patient-shaped water equivalent phantom (12) and to compute from this a patient dose distribution (13) that takes into account inhomogeneities of a matter distribution of the patient (4).

Systems and methods are provided for identifying a treatment zone in which a particular type of glycemic dysfunction exists that can be addressed by a change in a behavior and / or treatment parameter strategy. The systems and methods described herein evaluate large historical datasets to: identify one or more treatment zones in which glycemic dysfunction is most easily addressed; quantify the impact of a variety of different treatment adjustments on glycemia according to adjustments to historical doses or parameters of an expected dosing strategy to determine the best way to improve; and / or determine a patient dosing strategy to provide a treatment recommendation that is tailored to a patient's preferred behaviorally dosing strategy.

A system according to at least one embodiment of the present disclosure comprises: an imaging source; an imaging detector; a processor; and a memory coupled to the processor and having stored thereon data that, when executed by the processor, enables the processor to: initiate a multi-dimensional scan of a patient's anatomy, the multi-dimensional scan including the imaging source emitting a radiation beam received by the imaging detector; receiving radiation beam information associated with the radiation beam received by the imaging detector; comparing the radiation beam information to a beam threshold; and instructing the imaging source to adjust at least one beam parameter of the radiation beam based on the comparison such that the radiation beam information conforms to the beam threshold.

The invention relates to radiographic imaging. In order to improve effective dose estimation, a computer-implemented method (400) for determining an effective dose of a subject from a radiographic examination is provided in which a radiographic imaging device having a radiation source and a radiation detector is used to acquire a two-dimensional (2D) radiographic image of the subject, the method comprising: a) providing (410) a three-dimensional (3D) patient model; b) determining (420) a set of non-rigid registration parameters for adapting the 3D patient model to the object to map points in a 2D radiographic image of the object to points in the 3D patient model; c) registering (430) the 3D patient model to the subject using the determined set of non-rigid registration parameters, and d) determining (440) the effective dose based on the registered 3D patient model of the body part, geometry data of the radiographic imaging device, and generator data of the radiation source.