9 results about "Follow up examination" patented technology

The technology disclosed relates to deep learning for four-dimensional (4D) modeling of glioblastoma multiforme with tumor treating fields (TTFields) therapy. In particular, the technology disclosed relates to a system comprising memory and a neural network processor. The memory stores input image data characterizing a current spatial distribution of glioblastoma multiforme (GBM). The current spatial distribution of the GBM is detected at a precursor examination of a patient receiving tumor treating fields (TTFields) therapy. The neural network processor, is in communication with the memory, and is configured to cause a neural network to process the input image data and, in response, generate output probability data characterizing a future spatial distribution of the GBM at a follow-up examination of the patient receiving the TTFields therapy. The neural network determines the future spatial distribution based in part on a time interval between the precursor examination and the follow-up examination.

The invention relates to the technical field of urine collection, and particularly discloses a urine sample collection device based on intelligent control, the urine sample collection device comprises a pedestal pan, one side of the pedestal pan is fixedly provided with a side box, the inside of the side box is obliquely arranged towards the pedestal pan, the inner side of the side box is provided with a notch, and the side box is provided with an opening; according to the device, a single-chip microcomputer controller starts a mechanism to operate accordingly, a first motor drives a transmission belt wheel and a two-way lead screw to rotate, a movable block drives a linkage rod to move so as to push an adjusting block and a longitudinal moving mechanism to move inwards, a second motor drives a one-way lead screw to enable a sliding block to slide, and transverse and longitudinal displacement of a collecting mechanism is achieved; therefore, the collecting mechanism can be accurately adjusted according to the urine position, the test tube is taken out after collection, the urine collected by the device is not connected with the pedestal pan, cross infection is avoided, human hands are replaced, automatic and accurate positioning is achieved, a patient is prevented from urinating on the hands, the urine is more sanitarily collected, and the follow-up examination precision is improved.

The utility model relates to the technical field of gastroscopy, in particular to an auxiliary device for gastroscopy of digestive system department, which comprises a mounting seat and a bed board, the mounting seat is arranged above the bed board, positioning plates are arranged above the mounting seat, and the positioning plates are arranged in bilateral symmetry about the center of the mounting seat. A clamping and positioning effect is provided for the head of a patient through a positioning plate, a first connecting block is fixed to the lower portion of the positioning plate, the first connecting block is located in a mounting base and forms a horizontal sliding structure with the mounting base, a driving block is fixed to the lower portion of the first connecting block, and a driving control mechanism is connected to the interior of the driving block. According to the auxiliary device for gastroscopy of the gastroenterology department, the head of a patient can be clamped and positioned through the positioning plate, an examination tube is guided in cooperation with the guide cover, the patient is prevented from biting the examination tube, meanwhile, the head of the patient can be kept stable in the subsequent examination process, and the examination tube is prevented from deviating due to movement of the head.

Techniques for performing a current imaging examination on a patient include: accessing a stored patient position model generated based on a previous imaging examination of the patient; matching a current pose of the patient to the patient position model, wherein an indication of the current pose relative to the patient position model is provided; performing a current scan on the patient upon determining that a discrepancy between the current pose and the patient position model is within a predetermined threshold or that the discrepancy between the current pose and the patient position model is unlikely to be reduced, wherein a protocol or rendering of the current scan is adjusted based on the discrepancy between the current pose and the patient position model; and storing any remaining discrepancy between the current pose and the patient position model as metadata associated with a resulting image of the scan.

The utility model belongs to the technical field of medical instruments, and particularly relates to a cough monitoring and recording device which comprises a monitoring and recording instrument body, a mounting sleeve is fixedly mounted on one side of the monitoring and recording instrument body, a mounting groove is formed in the mounting sleeve, a connecting block is arranged in the mounting groove, and a wrist strap is fixedly connected to one side of the connecting block. And an elastic telescopic band is arranged between the wrist bands. The circuit board, the sound sensor, the filter, the storage module and the display screen are used in cooperation, cough sound of a user can be monitored and recorded conveniently, data can be provided for follow-up examination and treatment conveniently, the wrist strap and the hook-and-loop fastener are used in cooperation, the device can be bound to the wrist of the user conveniently, and the use is convenient. The elastic telescopic band is arranged in the middle of the wrist strap, so that the elastic adjusting performance of the wrist strap can be improved, the situation that in the wearing and using process, the wrist is bent, consequently, the wrist strap is prone to being tightened, and the wearing comfort is affected is prevented, and the wrist strap is convenient to carry and use better.

The invention relates to the field of medical instruments, and discloses an injector capable of adjusting the depth of a needle head and a using method thereof.The injector comprises a needle cylinder, the top of the needle cylinder is in threaded connection with a needle cylinder sealing cover, a liquid medicine pushing mechanism is arranged in the needle cylinder, a protection assembly is arranged on the needle cylinder sealing cover, and a connecting assembly is arranged on the protection assembly; the needle cylinder sealing cover is connected with a needle head adjusting cabin through a protection assembly and a connecting assembly, a needle head adjusting mechanism is arranged in the needle head adjusting cabin, a needle head is arranged on the needle head adjusting mechanism, and scale marks are arranged on the needle cylinder. The depth of the needle head is adjusted by rotating the knob, the stretching depth of the needle head is accurately controlled, discomfort caused by misoperation is avoided, rapid assembly and disassembly are achieved through the connecting assembly, follow-up inspection is facilitated, the magnetic pole piece fixes the metal protective shell, the needle cylinder is protected, cleaning can be conducted easily during disassembly, different parts are disinfected correspondingly, and the cleaning efficiency is improved. The equipment life is prolonged.

The technology disclosed relates to deep learning for four-dimensional (4D) modeling of glioblastoma multiforme with tumor treating fields (TTFields) therapy. In particular, the technology disclosed relates to a system comprising memory and a neural network processor. The memory stores input image data characterizing a current spatial distribution of glioblastoma multiforme (GBM). The current spatial distribution of the GBM is detected at a precursor examination of a patient receiving tumor treating fields (TTFields) therapy. The neural network processor, is in communication with the memory, and is configured to cause a neural network to process the input image data and, in response, generate output probability data characterizing a future spatial distribution of the GBM at a follow-up examination of the patient receiving the TTFields therapy. The neural network determines the future spatial distribution based in part on a time interval between the precursor examination and the follow-up examination.

The invention discloses a urine sampling device for bladder cancer detection, and relates to the technical field of sampling devices.The urine sampling device comprises a collecting box, one side of the collecting box is connected with a collecting pipe in a penetrating mode, the collecting pipe is used for guiding urine into an inner cavity of the collecting box, the opening end of the collecting pipe inclines upwards, and the bottom of an inner cavity of the collecting box is rotationally connected with a test tube rack; a plurality of sample test tubes are inserted into the test tube rack, and a guide-out assembly for guiding urine into the sample test tubes is arranged on the collecting tube. According to the invention, the sampling operation process is simplified, so that a sampler can directly stand for sampling without bending down or taking midstream urine in a specific posture or taking a urine cup and a test tube by hand and sub-packaging a sample, so that elderly patients or patients with mobility difficulty can conveniently and smoothly complete urine sample sampling, and the sampling efficiency is improved. It is guaranteed that the sampling process is efficiently and accurately completed, and the follow-up inspection efficiency and result accuracy are prevented from being affected.

The invention discloses a multi-terminal cooperative intelligent intervention and health management system and method for children obesity, and relates to the technical field of medical information processing, and the system comprises an intelligent pre-inquiry module and an intelligent auxiliary diagnosis and treatment module; the intelligent pre-inquiry module is used for collecting medical history, living habits and family history information of obese child patients through interactive dialogue structuralization, and generating pre-diagnosis reports containing risk prompts based on the collected information; and the intelligent auxiliary diagnosis and treatment module is used for receiving and integrating the pre-diagnosis report and the subsequent examination data of the doctor, carrying out comprehensive evaluation based on a professional knowledge graph of children obesity and a machine learning model, and generating a personalized intervention scheme containing diet prescriptions, exercise prescriptions and living habit intervention suggestions. According to the method, multi-disciplinary professional knowledge can be deeply fused, so that the generation of the intervention scheme has standardization and individuation, and the diagnosis and treatment consistency and the long-term management effect can be improved.