Abstract: The healthcare information processing apparatus according to the present embodiment comprises a memory; and processing circuitry configured to collect at least one information among a vital information, an activity information, and an environment information of a subject, associate with a date and/or time, and store in a memory; ask questions to the subject when the information meets a predefined condition based on the information of the subject; and cause the memory to store a response to the questions.

Abstract: A marker-coordinate detecting unit detects coordinates of a stent marker on a new image when the new image is stored in an image-data storage unit; and then a correction-image creating unit creates a correction image from the new image through, for example, image transformation processing, so as to match up the detected coordinates with reference coordinates that are coordinates of the stent marker already detected by the marker-coordinate detecting unit in a first frame. An image post-processing unit then creates an image for display by performing post-processing on the correction image created by the correction-image creating unit, the post-processing including high-frequency noise reduction filtering-processing, low-frequency component removal filtering-processing, and logarithmic-image creating processing; and then a system control unit performs control of displaying a moving image of an enlarged image of a set region that is set in the image for display, together with an original image.

Abstract: In one embodiment, an MRI apparatus includes: a transmission circuit configured to apply a transmission pulse to an object; at least one radio frequency (RF) coil configured to include an active trap circuit provided with a PIN diode, and to receive a magnetic resonance signal from the object; a power supply circuit configured to apply a reverse bias voltage and a forward bias voltage to the PIN diode, and to apply multiple values of a forward current when the forward bias voltage is applied to the PIN diode; and a control circuit configured to control the power supply circuit in such a manner that the power supply circuit sets the forward current to the multiple values, depending on imaging conditions.

Abstract: According to one embodiment, an ultrasonic diagnostic apparatus includes an ultrasonic probe and processing circuitry. The ultrasonic probe is configured to transmit and receive an ultrasonic wave. The processing circuitry is configured to acquire an optical image of a subject housed in a housing unit containing a medium. The processing circuitry is configured to estimate state information of the subject from the optical image. The processing circuitry is configured to set a scan condition of ultrasonic scanning for the subject based on the state information.

Abstract: An MRI apparatus includes a scanner configured to apply an RF pulse to an object and processing circuity configured to: set a first pulse sequence in which acquisition of a first set of MR signals is started after a first delay time from application of a first excitation pulse, and a second pulse sequence in which acquisition of a second set of MR signals is started after a second delay time from application of a second excitation pulse, the second delay time being different from the first delay time; acquire first and second sets of MR signals by causing the scanner to apply the first and second pulse sequences to the object; generate a combined dataset by averaging a first dataset based on the first set of MR signals and a second dataset based on the second set of MR signals; and reconstruct an MR image based on the combined dataset.

Abstract: In one embodiment, an image processing system includes a memory and processing circuitry. The memory is configured to store a predetermined program. The processing circuitry is configured, by executing the predetermined program, to perform processing on an input image by exploiting a neural network having an input layer, an output layer, and an intermediate layer provided between the input layer and the output layer, the input image being inputted to the input layer, and adjust an internal parameter based on data related to the input image, while performing the processing on the input image after training of the neural network, the internal parameter being at least one internal parameter of at least one node included in the intermediate layer, and the input parameter having been calculated by the training of the neural network.

Abstract: A radiation detector according to an embodiment includes an array substrate including multiple detecting parts detecting radiation directly or in collaboration with a scintillator, an analog circuit reading an image data signal from the multiple detecting parts, a digital circuit configuring a radiation image based on a signal from the analog circuit, and an inductor connected between a ground of the analog circuit and a ground of the digital circuit.

Abstract: An ultrasonic diagnostic apparatus of an embodiment includes a processing circuitry. The a processing circuitry acquires contact information detected by a plurality of contact sensors provided at different positions on an ultrasonic probe inserted into a body cavity of a subject and causes an output interface to output information representing a state of the ultrasonic probe in the body cavity on the basis of the contact information and the positions of the contact sensors provided on the ultrasonic probe.

Abstract: A method and apparatus is provided that uses a deep learning (DL) network to reduce noise and artifacts in reconstructed medical images, such as images generated using computed tomography, positron emission tomography, and magnetic resonance imaging. The DL network can operate either on pre-reconstruction data or on a reconstructed image. The DL network can be an artificial neural network or a convolutional neural network (e.g., using a three-channel volumetric kernel architecture). Different neural networks can be trained depending on the noise level, scanning protocol, or the anatomic, diagnostic or clinical objective of the reconstructed image (e.g., by partitioning the training data into noise-level range and training respective DL networks for each range). Further, the DL networks can be trained to mitigate artifacts, such as the cone-beam artifact.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image related to the pancreas. The processing circuitry is configured to extract a pancreas region included in the medical image. The processing circuitry is configured to extract at least one tubular structure region from the inside of the pancreas region. The processing circuitry is configured to identify a first end part and a second end part related to the pancreas on the basis of the pancreas region. The processing circuitry is configured to estimate a primary pancreatic duct centerline of the pancreas on the basis of the tubular structure region, the first end part, and the second end part.

Abstract: According to one embodiment, a medical information processing apparatus includes processing circuitry configured to derive an index value with respect to noise included in data associated with magnetic resonance signals collected by each of a plurality of reception coils, adjust a degree to which noise is removed from the data associated with the magnetic resonance signals based on the derived index value, remove noise from the data associated with the magnetic resonance signals based on the adjusted degree, and perform compositing of the data associated with the magnetic resonance signals from which noise has been removed.

Abstract: An X-ray diagnostic apparatus according to an embodiment includes processing circuitry configured to improve quality of fourth data corresponding to a fourth number of views that is smaller than a first number of views by inputting the fourth data to a learned model generated by performing machine learning with second data corresponding to a second number of views as input learning data, and third data corresponding to a third number of views that is larger than the second number of views as output learning data, the second data and the third data being acquired based on first data corresponding to the first number of views. The fourth data is data acquired by tomosynthesis imaging.

Abstract: A medical information processing device according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire biometric information on a patient, detect a trend change in the biometric information at a predetermined timing on a basis of time-series data regarding the biometric information, and determine whether the trend change is due to a measurement error in the biometric information or due to a change in a condition of the patient.

Abstract: A neutron position detector according to an embodiment includes a tubular enclosure used as a cathode, an anode located at an axial center inside the enclosure, and a gas that includes a 3He gas and an additive gas and is sealed inside the enclosure. The additive gas includes nitrogen as a quenching gas, and argon as a gas that reduces the ranges of reaction products as neutron and 3He gas.

Abstract: An apparatus for training a model to identify abnormal medical/image data comprises processing circuitry configured to: receive medical/image data; obtain a local region and a context region from the medical/image data; generate abnormal medical/image data using the local region and/or the context region; train a model using the medical/image data and the generated abnormal medical/image data to identify abnormal medical/image data.

Abstract: According to one embodiment, a detector module includes a direct-conversion semiconductor crystal, a first electrode provided on a first surface side of the semiconductor crystal, and a plurality of second electrodes provided on a second surface side of the semiconductor crystal opposite to the first electrode with the semiconductor crystal therebetween. The first electrode includes a first partial electrode and a second partial electrode which are applied with a high voltage independently of each other and divided at least in a channel direction.

Abstract: An injection molding system including an injection nozzle that injects resin into a mold and a conveying device that conveys the injection nozzle between a first position where the injection nozzle injects resin into a first mold and a second position where the injection nozzle injects resin into a second mold.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires medical images of multiple time phases. The processing circuitry generates a vascular territory image showing plural vascular territories included in the subject tissue. The processing circuitry sets a region of interest in the subject tissue. The processing circuitry sets at least two regions out of the vascular territories and an ischemia area in the region of interest based on the vascular territory image. The processing circuitry calculates a ratio of each of the at least two regions to the region of interest. The processing circuitry outputs information about the ratio.

Abstract: A sheet processing apparatus includes a conveying portion, a conveying path, a discharge port, a stacking portion, a manual setting portion, a binding device which binds a sheet bundle formed by the stacking portion and a sheet bundle set at the manual setting portion by a staple, a first regulating portion which regulates a position of the sheet bundle at a rear side of the apparatus in a width direction, and a second regulating portion which regulates a position of the sheet bundle in the conveying direction. The binding device is formed to be movable back and forth to a front side and the rear side of the apparatus. When a staple is replenished to the binding device, the binding device is positioned at the third position so that a cartridge of the staple is loaded into the binding device from the front side of the apparatus.

Abstract: A magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry is configured to acquire a first coil sensitivity map and a second coil sensitivity map for a plurality of coils, the second coil sensitivity map being different in phase from the first coil sensitivity map; generate a first image based on the first coil sensitivity map and magnetic resonance data related to the plurality of coils; generate a second image based on the first coil sensitivity map, the second coil sensitivity map, and the first image; and generate a final image from the first image and the second image.

Abstract: An X-ray diagnostic apparatus according to an embodiment includes an X-ray tube, an X-ray detector, image generating circuitry, and processing circuitry. The X-ray tube emits X-rays. The X-ray detector detects X-rays emitted from the X-ray tube and transmitted through a subject. The processing circuitry receives a designating operation related a display mode for a target that is at least one of a region of the subject and an object inserted in the subject. In response to the designating operation, the processing circuitry changes the display mode of the target in an X-ray projection image that is based on a detection result of the X-ray detector, the display mode being changed based on three-dimensional medical image data related to the subject.

Abstract: According to one embodiment, a medical information processing apparatus includes processing circuitry which updates a model for calculating an effect evaluation value for a medical decision. The processing circuitry updates a parameter of the model while retaining the structure of the model so that the structure of the model is updated less frequently than the parameter.

Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires an effect evaluation value regarding a plurality of medical decisions. The processing circuitry acquires a fairness index value regarding the aforementioned medical decisions. The processing circuitry determines a medical decision to be assigned to a subject target based on the effect evaluation value and the fairness index value.

Abstract: A medical information processing apparatus includes processing circuitry. The processing circuitry updates a personal model relating to a target subject. The personal model calculates an effect evaluation value for a medical decision on the target subject. The processing circuitry updates the personal model based on first data corresponding to an effect of the medical decision on the target subject and data limited to a partial range of second data corresponding to an effect of a medical decision on another subject different from the target subject.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain contrast-enhanced images related to an examined subject and corresponding to a plurality of temporal phases. On the basis of data values of pixels in the contrast-enhanced images corresponding to the plurality of temporal phases, the processing circuitry is configured to determine which one of contrast enhancement dominance and fluid accumulation dominance corresponds to the pixels or a region including the pixels. The processing circuitry is configured to generate a display mode based on the determination.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image. The processing circuitry is configured to calculate a first blood flow direction on the basis of a structure of a region of interest rendered in the medical image. The processing circuitry is configured to calculate a second blood flow direction on the basis of a structure in the surroundings of the region of interest. The processing circuitry is configured to identify a condition of the region of interest, on the basis of the first blood flow direction and the second blood flow direction.

Abstract: An injection molding system and method that injects resin into a mold and conveys at least one mold, wherein the improvement to the injection molding system and method includes driving a support member that supports the mold, wherein the mold is conveyed based on a movement of the support member between a first position where the injection nozzle injects the resin into the mold and second position different from the first position.

Abstract: A medical image processing apparatus according to the present embodiment includes processing circuitry. The processing circuitry inputs a first magnetic resonance image reconstructed with super-resolution processing on magnetic resonance data and a second magnetic resonance image obtained by imaging the same object as that of the first magnetic resonance image and with artifacts suppressed compared with the first magnetic resonance image, to a leaned model, the learned model being configured to output a third magnetic resonance image having the same resolution as that of the first magnetic resonance image and with the artifacts suppressed, generates the third magnetic resonance image based on the first magnetic resonance image and the second magnetic resonance image, using the learned model.

Abstract: An ultrasonic diagnosis apparatus according to an embodiment includes a transmission unit, a reception unit, a generator, and a display controller. The transmission unit causes an ultrasonic probe to transmit a displacement-producing ultrasonic wave and causes the probe to transmit a displacement-observing ultrasonic wave. The reception unit generates reflected-wave data based on a reflected wave received by the probe. The generator calculates displacement at each of a plurality of positions in the scan area over a plurality of time phases, based on the reflected-wave data, determines a time phase when the calculated displacement is substantially maximum, for each of the positions, and generates image data representing positions where the determined time phases are substantially the same as each other, among the positions. The display controller superimposes an image based on the image data on a medical image corresponding to an area including the scan area.

Abstract: Atomic diffusion bonding is carried out using a bonding film comprising a nitride formed at a bonding surface. Operating in a vacuum chamber, a bonding film comprising a nitride is formed on each of flat surfaces of two substrates that each have the flat surface, and, by overlapping the two substrates so the bonding films formed on the two substrates are in contact with each other, the two substrates are joined by the generation of atomic diffusion at a bonding interface between the bonding films.

Abstract: An apparatus and method to obtain input projection data based on radiation detected at a plurality of detector elements, reconstruct plural uncorrected images in response to applying a reconstruction algorithm to the input projection data, segment the plural uncorrected images into two or more types of material-component images by applying a deep learning segmentation network, generate output projection data corresponding to the two or more types of material-component images based on a forward projection, generate corrected multi material-decomposed projection data based on the generated output projection data corresponding to the two or more types of material-component images, and reconstruct the multi material-component images from the corrected multi material-decomposed projection data to generate one or more corrected images.

Abstract: An apparatus for incremental motion correction in medical imaging. The apparatus for motion correction in magnetic resonance imaging includes processing circuitry configured to estimate an intermediate image from a first section of k-space, the first section of the k-space corresponding to acquisition time points within a magnetic resonance scan of a subject, the corresponding acquisition time points within the magnetic resonance scan being associated with shots of the k-space determined to have minimal motion, estimate motion parameters of a second section of the k-space using the estimated intermediate image, combine data from the first section of the k-space with data from the second section of the k-space according to the estimated motion parameters, and reconstruct the combined data of the k-space to generate a final image.

Abstract: According to one embodiment, an X-ray diagnostic apparatus includes processing circuitry. The processing circuitry is configured to execute first calculation processing of calculating three-dimensional position information of each of an X-ray generator and an X-ray detector during rotation imaging, based on projection data acquired by executing the rotation imaging for a phantom with the X-ray generator and the X-ray detector arranged rotatably around the phantom.

Abstract: An image processing apparatus comprises processing circuitry configured to: obtain a respective identity and location for each of a first plurality of landmarks in a reference volume; obtain a respective weighting for each landmark of the first plurality of landmarks; obtain a respective identity and location for each of a second plurality of landmarks in a further volume; and determine a transform based on a fit between the first plurality of landmarks and the second plurality of landmarks, wherein the fit is determined in dependence on the weightings.

Abstract: An X-ray computed tomography apparatus includes a gantry, a support member, a mount frame, and a support stand. The gantry includes an imaging system to image a subject. The support member supports a support plate that supports the subject in imaging. The support member and the gantry are mounted on a mount frame such that a relative positional relationship between the support member and the gantry is changeable in a longitudinal direction of the support plate. The support stand supports the mount frame in a manner that the mount frame is changeable in posture at least in-between a vertical direction and a horizontal direction.

Abstract: A data processing device according to an embodiment generates output data by inputting, to a learned model, as input data, first input data of a complex value and second input data that is data related to a complex phase, the learned model having been trained using, as input data, first input data for learning of a complex value obtained based on collected data collected by a medical image diagnostic device and second input data for learning that is data related to a complex phase of the collected data, and using, as output data, output data for learning.

Abstract: A consensus building support system according to an embodiment includes processing circuitry. The processing circuitry stores a database that stores a state of a first user and actions by the first user and a second user. The processing circuitry calculates a first state assessment index representing a first user's assessment of the state based on a first user's state and an action relating to the first user, and calculates a second state assessment index representing a second user's assessment of the state based on the first user's state and an action relating to the second user. The processing circuitry display a first state assessment index and/or a second state assessment index on a display.

Abstract: In one embodiment, a medical image processing apparatus includes: processing circuitry configured to extract 3D blood vessel data of an object from 3D image data of the object, detect a tip position of a medical device moving in a blood vessel in real time from a fluoroscopic image of the object inputted during an operation, and calculate at least one of a recommended route and a recommended direction of the medical device from the 3D blood vessel data, a rough route of the medical device, and the tip position of the medical device; and a terminal device configured to display a 3D blood vessel image of the object generated from the 3D blood vessel data and to designate the rough route of the medical device on the 3D blood vessel image.

Abstract: A nuclear medicine diagnostic apparatus according to a present embodiment includes a plurality of units of detector that detects gamma rays, and each of the units of detector includes detection circuitry, generation circuitry, and first production circuitry. The detection circuitry detects an analog signal based on a result of detecting the gamma rays. The generation circuitry generates a clock signal. The first production circuitry produces time information by converting the analog signal into a digital signal on the basis of the clock signal.

Abstract: A medical information processing apparatus comprises: a memory which stores a plurality of semantic ranking values for a plurality of medical terms, wherein each of the semantic ranking values relates to a degree of semantic similarity between a respective pair of the medical terms; and processing circuitry configured to train a model based on the semantic ranking values, wherein the model comprises a respective vector representation for each of the medical terms.

Abstract: An information processing device of an embodiment includes a processing circuitry. The processing circuitry estimates a future living situation of a target patient for each treatment method to be applied to the target patient on the basis of attributes of the target patient. The processing circuitry outputs information based on the living situation via an output unit.

Abstract: An automatic analyzing apparatus according to an embodiment includes first and second conveyance paths, a sample dispensing mechanism, and processing circuitry. The first conveyance path conveys a first container rack that holds a container housing the sample. The second conveyance path conveys a second container rack that holds a container housing at least one of a detergent solution for cleaning a probe that dispenses the sample, a diluent for diluting the sample, a buffer solution for mixing the sample, a solution used for a blank test with the sample, and a solution for performing calibration measurement for the apparatus. The sample dispensing mechanism is configured so that the probe can aspirate a liquid in the container of the first container rack and the second container rack. The processing circuitry controls operations of the first conveyance path, the second conveyance path, and the sample dispensing mechanism.

Abstract: A nuclear medicine diagnosis apparatus according to an embodiment includes a processing circuit. The processing circuit is configured to obtain nuclear medicine data; to time-divide the nuclear medicine data into at least first nuclear medicine data and second nuclear medicine data; and to identify a biological accumulation region, on the basis of a temporal change in data values included in the first nuclear medicine data and the second nuclear medicine data.

Abstract: According to one embodiment, a radiotherapy planning apparatus includes processing circuitry. The processing circuitry is configured to acquire dose rate distribution information indicating distribution of a dose rate in an irradiation path of radiation based on irradiation conditions of the radiation. The processing circuitry is configured to acquire irradiation effect discrimination information for discriminating irradiation effects of radiation in the irradiation path based on the acquired dose rate distribution information.

Abstract: A medical image display apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to: identify imaged ranges respectively corresponding to a plurality of examinations, on the basis of anatomical information from a plurality of medical images taken of an examined subject in the plurality of examinations; map the imaged ranges respectively corresponding to the plurality of examinations onto a single human body model; and cause a display unit to display a list of information about the plurality of examinations and the human body model on which the imaged ranges respectively corresponding to the plurality of examinations are mapped, so as to be kept in correspondence with each other.

Abstract: An analysis assisting device according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain first analysis image data obtained on the basis of an image taken of a patient and additional information of the image; to obtain an analysis result of analyzing the first analysis image data; to output, when the analysis result does not satisfy a predetermined condition, an image processing condition optimal for the analysis; either to obtain second analysis image data by generating the second analysis image data by performing an image processing process on the basis of the image processing condition; or to obtain the second analysis image data generated as a result of an external device performing an image processing process on the basis of the image processing condition; and to obtain an analysis result of analyzing the second analysis image data.

Abstract: According to one embodiment, a medical information processing apparatus includes a processing circuitry. The processing circuitry determines respective medical information pieces as display candidates based on a plurality of support information pieces, and respective weights of a plurality of medical information pieces. The processing circuitry decides whether or not to integrate the respective medical information pieces based on the respective medical information pieces as the display candidates, and the plurality of support information pieces. The processing circuitry determines an arrangement of medical information pieces based on the plurality of support information pieces as a result of the decision.

Abstract: A medical information processing system of an embodiment includes a processing circuit. The processing circuit acquires medical examination data of a diagnosis subject and reply data of a medical examination by interview for the diagnosis subject. The processing circuit estimates a disease or symptoms of the diagnosis subject by inputting the examination data of the diagnosis subject to a trained model. The trained model is a model trained on the basis of a training data set in which diseases or symptoms that a learning subject suffers from are associated with examination data of the learning subject as correct answer labels. The processing circuit outputs a result of comparison between estimated data based on an estimation result of the disease or symptoms of the diagnosis subject and the reply data via an output unit.

Abstract: An automatic analyzing apparatus according to the present embodiment includes a specimen container, a piercer, a detector, and processing circuitry. The specimen container is a container in which a specimen is housed, an opening of the specimen container being sealed by a cap. The piercer pierces the cap by a distal end. The detector detects a blot on the cap. The processing circuitry controls a piercing operation of the piercer.

Abstract: A medical information processing device of an embodiment includes a processing circuitry. The processing circuitry acquires clinical data on a subject and a predetermined medical treatment support model, inputs the clinical data to the predetermined medical treatment support model to derive support information regarding a predetermined medical treatment, derives a suitability between the clinical data and the predetermined medical treatment support model on the basis of the clinical data and the predetermined medical treatment support model, and displays the support information and the suitability in association with each other.