Abstract: A multi-stage helical gear manufacturing apparatus includes a first mold member, a second mold member, a large gear rotation core, a sleeve pin, a small gear rotation insert, and an insert pin. The second mold member moves the insert pin and the small gear rotation insert after the insert pin is caused to retreat in relation to the small gear rotation insert at the time of mold opening. The first mold member prohibits rotation of the large gear rotation core at the time of mold clamping, permits rotation of the large gear rotation core when the insert pin and the small gear rotation insert of the second mold member are moved at the time of mold opening, and causes the sleeve pin to advance toward the second mold member in relation to the plastic after the insert pin and the small gear rotation insert are separated from the plastic.

Abstract: A biological information measurement device adapted to be attached on an upper arm of a human body and used thereon includes a belt portion adapted to be wound around the upper arm, electrocardiographic measurement means including a plurality of electrodes for detecting an electrocardiographic signal of the human body, pulse wave measurement means including a pulse wave sensor for detecting a pulse wave of the human body, heartbeat vibration measurement means including a vibration sensor for detecting vibration caused by beating of a heart of the human body, and an analysis processing unit configured to calculate a pre-ejection time and a pulse transit time of the heart based on time series data of the electrocardiographic signal, time series data of the pulse wave, and time series data of the vibration caused by the beating of the heart.

Abstract: An information processing apparatus includes a processor configured to: detect a specific noncontact state established by a user for an operation surface; and present, if the specific contact state is detected, an explanation of an operation method used for the operation surface or a function of an object displayed on the operation surface.

Abstract: A biological information measurement device includes a sensor unit that detects predetermined biological information related to an organ of a living body, an A/D conversion unit that converts a measurement signal output from the sensor unit into a digital signal, a storage unit that stores information including a digital signal related to the measurement signal output from the A/D conversion unit, an analysis processing unit that determines presence or absence of a suspicion of an abnormality in the organ by analyzing the digital signal, and a measurement control unit that changes a sampling frequency related to A/D conversion of the measurement signal under a predetermined condition when the analysis processing unit has determined that a suspicion of an abnormality is present in the organ.

Abstract: A medical system recommends a posture of a subject during a medical procedure. The medical system includes a processor and an output device. The processor determines suitable postures of the subject during the medical procedure based on at least one of subject information, including information on a posture of the subject obtained upon a predetermined movement by the subject and information on the procedure. The output device presents one or more of the suitable postures determined by the processor as recommended postures.

Abstract: A medical system includes a catheter that includes a sensor and insertable into a luminal organ and an image processing apparatus configured to: generate first cross-sectional images of the organ based on sensor signals output when the catheter is moved along the organ, select second images from the first images at predetermined intervals, input the second images to a machine learning model and acquire a type and region of an object in each second image, determine one second image as a reference, determine two or more first images generated before and after the reference, input said two or more first images to the model and acquire the type and region of the object in said two or more first images, and output information based on the type and region of the object acquired from each of the reference and said two or more first images.

Abstract: The program causes a computer to execute processing of: acquiring a medical image obtained by imaging a luminal organ using a catheter; specifying a direction of interest indicating a direction of a site of interest with respect to the medical image on the basis of the acquired medical image; and displaying information indicating the specified direction of interest in association with the medical image or displaying the medical image subjected to image processing on the basis of the information indicating the direction of interest.

Abstract: An exemplary work vehicle includes: a steering wheel; an automatic steering mechanism that enables an automatic steering of the steering wheel; and a heat supply unit so provided as to supply heat to the automatic steering mechanism.

Abstract: A medical system includes a catheter that includes a sensor and can be inserted into a luminal organ, a display apparatus, and an image processing apparatus configured to: generate an image of the luminal organ based on a signal output from the sensor of the catheter, input the generated image to a machine learning model and acquire an output indicating a type and a region of an object in the image, determine a size of a stent to be implanted into the luminal organ based on the type and region of the object, and cause the display apparatus to display information indicating the determined size of the stent.

Abstract: A medical system includes a catheter that includes a sensor and can be inserted into a luminal organ, a display apparatus, and an image processing apparatus configured to: store a plurality of pieces of support information each related to a medical operation or diagnosis on the organ and associated with a type of an object, generate an image of the organ based on a signal output from the sensor of the catheter, input the generated image to a machine learning model and acquire an output indicating a type of an object that is present in the image, acquire input information indicating a medical operation or diagnosis to be performed, determine one of the pieces of support information corresponding to the type of the object and the medical operation or diagnosis indicated by the input information, and cause the display apparatus to display said one of the pieces of support information.

Abstract: A non-transitory computer-readable medium storing a computer program executed by a computer, a method, and an image processing device are disclosed that are capable of compensating a missing region in a tomographic image in a state in which a part of a lumen organ is missing. In accordance with the program, a computer acquires a plurality of tomographic images of a cross section of the lumen organ captured at a plurality of places using a catheter. In addition, the computer extracts, from the plurality of tomographic images, a tomographic image in which the part of the lumen organ is missing. Then, the computer compensates a missing region of the lumen organ for the extracted tomographic image.

Abstract: A semiconductor memory device includes a first wiring, a first memory transistor connected to the first wiring, a first transistor connected between the first wiring and the first memory transistor, a second transistor connected between the first wiring and the first transistor, and second to fourth wirings respectively connected to gate electrodes of the first memory transistor, the first transistor, and the second transistor. From a first timing to a second timing, a voltage difference between the first wiring and the third wiring is maintained at a predetermined value, a voltage difference between the third wiring and the fourth wiring is maintained at a predetermined value, a voltage of the first wiring becomes larger than a voltage of the third wiring, and the voltage of the third wiring becomes larger than a voltage of the fourth wiring.

Abstract: A semiconductor memory device includes a first wiring, a first memory transistor connected to the first wiring, a first transistor connected between the first wiring and the first memory transistor, a second transistor connected between the first wiring and the first transistor, and second to fourth wirings respectively connected to gate electrodes of the first memory transistor, the first transistor, and the second transistor. From a first timing to a second timing, a voltage difference between the first wiring and the third wiring is maintained at a predetermined value, a voltage difference between the third wiring and the fourth wiring is maintained at a predetermined value, a voltage of the first wiring becomes larger than a voltage of the third wiring, and the voltage of the third wiring becomes larger than a voltage of the fourth wiring.

Abstract: An information processing device, an information processing method, and a non-transitory computer-readable medium are disclosed. The information processing device includes a processor configured to acquire transverse tomographic images of a plurality of frames obtained by imaging a blood vessel of a patient, and calculate plaque burden in each of the frames by inputting the acquired transverse tomographic image of each of the frames to a model that has learned to calculate plaque burden in response to the transverse tomographic image inputted, and a display unit configured to display a longitudinal tomographic image based on the transverse tomographic images of the plurality of frames and a first object that is an object displayed in correlation with the longitudinal tomographic image and represents magnitude of the plaque burden at each position of the longitudinal tomographic images along an axial direction of the blood vessel.

Abstract: An information processing device configured to: acquire a polar coordinate image, which is a medical image expressed in polar coordinates and obtained by imaging a biological lumen with a device configured to be inserted into the biological lumen, the polar coordinate image having a first axis representing an angle and a second axis intersecting the first axis and representing a distance from the device; input the polar coordinate image for a predetermined angle exceeding 360 degrees to a model trained, when the polar coordinate image is input, to output first segment data in which an image region corresponding to a specific object and another image region are classified, and output the first segment data for the predetermined angle; extract the first segment data for 360 degrees from the first segment data for the predetermined angle; and transform the extracted first segment data to second segment data expressed in rectangular coordinates.

Abstract: An information processing device, an information processing method, and a non-transitory computer-readable medium are disclosed. The information processing device includes a processor configured to: acquire transverse tomographic images of a plurality of frames obtained by imaging a blood vessel of a patient, calculate plaque burden at each position of the blood vessel along an axial direction of the blood vessel based on the transverse tomographic images of the plurality of frames, divide a longitudinal cross section of the blood vessel into a first region in which the plaque burden is equal to or greater than a threshold and a second region in which the plaque burden is less than the threshold, and determine, in each of the regions obtained by the division, regions in which both ends of a treatment area of the blood vessel with a predetermined treatment device are to be located.

Abstract: A non-transitory computer-readable medium storing a computer program executed by a computer processor to execute a process including: acquiring a medical image generated based on a signal detected by a catheter inserted into a luminal organ; deriving determination information for determining whether to detect an object region from the medical image based on the acquired medical image; determining whether to detect an object region from the medical image based on the derived determination information; and detecting an object region included in the medical image by inputting the acquired medical image into a first model trained for detecting an object region included in the medical image when a medical image is input when the object region is determined to be detected from the medical image.

Abstract: A non-transitory computer-readable medium storing a computer program executed by a computer processor to execute a process including: acquiring a medical image generated based on a signal detected by a catheter inserted into a luminal organ; detecting an object region included in the medical image by inputting the acquired medical image into a model trained for detecting the object region included in the medical image; calculating reliability of each of a plurality of boundary points located on a boundary between the detected object region and another image area in the medical image; and correcting the boundary based on a detection result of the object region by the model by performing interpolation using the boundary points at which the calculated reliability satisfies a predetermined standard.

Abstract: A program and the like that make a catheter system relatively easy to use. The program including a non-transitory computer-readable medium (CRM) storing computer program code executed by a computer processor that executes a process comprising: acquiring a tomographic image generated using a diagnostic imaging catheter inserted into a lumen organ; and inputting the acquired tomographic image to a first model configured to output types of a plurality of objects included in the tomographic image and ranges of the respective objects in association with each other when the tomographic image is input, and outputting the types and ranges of the objects output from the first model.

Abstract: A non-transitory computer-readable medium (CRM) storing computer program code executed by a computer processor that executes a process, an information processing apparatus, and a model generation method that outputs complication information for a medical treatment. The process includes acquiring a medical image obtained by imaging a lumen organ of a patient before treatment, inputting the acquired medical image into a trained model so as to output complication information on a complication that is likely to occur after the treatment when the medical image is received, and outputting the complication information. Preferably, complication information including a type of the complication that is likely to occur and a probability value indicating an occurrence probability of the complication of the type is output.