Abstract: A medical system includes a processor. The processor is configured to calculate a presence probability of a lesion in a not-yet-observed region inside a hollow organ of a patient, the not-yet-observed region being specified on the basis of an image that has been captured by an imaging sensor of an endoscope inside the hollow organ, and spatial disposition information of a distal end of an insertion part of the endoscope.

Abstract: In an image-processing method, a first image and a second image having parallax with each other are acquired. In each of the first image and the second image, a first region, which includes a center of one of the first image and the second image and has a predetermined shape, is set. In each of the first image and the second image, a second region surrounding an outer edge of the first region of each of the first image and the second image is set. Image processing is performed on a processing region including the second region in at least one of the first image and the second image so as to change an amount of parallax of the processing region.

Abstract: A diagnostic system, method, and a computer-readable storage medium for determining a severity of a gastric condition, such as gastritis, in a subject are disclosed. The diagnostic system includes a processor that obtains an image of a stomach of the subject collected by an endoscope. The processor can compare the subject image with reference normal and abnormal stomach images. If the subject image is abnormal, the processor can generate a subject abnormality image indicative of the differences between the subject image and the normal image. By comparing the generated subject abnormality image with reference abnormality images representative of different severity levels of gastritis, the processor can diagnose the subject as having a particular severity level of gastritis.

Abstract: A diagnostic system, method, and a computer-readable storage medium for determining a severity of a gastric condition, such as gastritis, in a subject are disclosed. The diagnostic system includes a processor that obtains an image of a stomach of the subject collected by an endoscope. The processor can compare the subject image with reference normal and abnormal stomach images. If the subject image is abnormal, the processor can generate a subject abnormality image indicative of the differences between the subject image and the normal image. By comparing the generated subject abnormality image with reference abnormality images representative of different severity levels of gastritis, the processor can diagnose the subject as having a particular severity level of gastritis.

Abstract: A diagnostic system, method, and a computer-readable storage medium for determining a severity of a gastric condition, such as gastric cancer, in a subject are disclosed. The diagnostic system includes a processor that can obtain various images of a stomach of the subject including wavelength images and generate difference images from the wavelength images. The processor can compare the subject images with reference images representative of different severity levels of gastric cancer, or can input the subject images into a learned model trained using the reference images stored in the database to extract a feature pattern corresponding to a severity of gastric cancer to diagnose the subject as having a particular severity level of gastric cancer.

Abstract: A system that can include a processor that obtains voice data of a subject. The processor can compare the voice data of the subject with reference normal and abnormal voice data. If the voice data of the subject is abnormal, the processor can generate an abnormal subject voice data that is indicative of differences between the subject voice data and the normal voice data. By comparing the generated abnormal subject voice data with the reference normal and abnormal voice data, the processor can determine what condition the subject may be suffering from and the severity of that condition.

Abstract: A apparatus for detecting a biological data of a target patient from an attachable sensor attached to the target patient includes a circuit and a storage that stores therein a first correspondence relationship between a state of a battery included in the sensor and a measurement error of the sensor. The circuit obtains the biological data and battery data indicating the state of the battery, the obtained biological data and the obtained battery data being collected by the sensor, and generates corrected biological data by correcting the biological data according to the battery data, wherein the generating of the corrected biological data includes generating correction data that depends on the battery data by referring to the storage that stores the first correspondence relationship, and generating the corrected biological data by correcting the biological data using the correction data.

Abstract: An apparatus for detecting a biological data of a target patient from an attachable sensor attached to the target patient includes a circuit. The circuit obtains a first piece of biological data of the target patient and second piece of biological data of the target patient that is a different type of biological data than the first piece of biological data. The first piece of biological data and the second piece of biological data is collected by the sensor. The circuit standardizes the first piece of biological data on the basis of the second piece of biological data so as to generate standardized biological data.

Abstract: A apparatus for detecting a biological data of a target patient from an attachable sensor attached to the target patient includes a circuit and a storage that stores therein a first correspondence relationship between a state of a battery included in the sensor and a measurement error of the sensor. The circuit obtains the biological data and battery data indicating the state of the battery, the obtained biological data and the obtained battery data being collected by the sensor, and generates corrected biological data by correcting the biological data according to the battery data, wherein the generating of the corrected biological data includes generating correction data that depends on the battery data by referring to the storage that stores the first correspondence relationship, and generating the corrected biological data by correcting the biological data using the correction data.

Abstract: An apparatus for detecting a biological data of a target patient from an attachable sensor attached to the target patient includes a circuit. The circuit obtains a first piece of biological data and patient-state data of the target patient. The circuit determine an activity state of the target patient on the basis of the patient-state data. When the activity state is first state, the circuit detects an abnormality in the target patient on the basis of a first normal value range, in the first state, of a physiological indicator indicated by the first piece of biological data and the first piece of biological data. When the activity state is second state, the circuit detects an abnormality on the basis of a second normal value range, in the second state, of the physiological indicator indicated by the first piece of biological data and the first piece of biological data.

Abstract: An apparatus for controlling communication with an attachable sensor attached to a target patient includes a circuit. The circuit obtains a first piece of battery data indicating a state of a first battery included in the sensor, the first piece of battery data being transmitted from the sensor to the apparatus through a network. The circuit issues, to the sensor, a communication control command that changes a communication setting set in the sensor to a setting according to the first piece of battery data.

Abstract: A apparatus for detecting a biological data of a target patient from an attachable sensor attached to the target patient includes a circuit. The circuit obtains the biological data and sensor-state data of the sensor, the biological data and the sensor-state data being collected by the sensor. Further, the circuit evaluates the reliability of the biological data on the basis of a comparison between the sensor-state data and an operation permitting condition for the sensor that is a condition under which a normal operation of the sensor is ensured.

Abstract: A server system includes: a reception section that receives captured image information and metadata from a terminal device connected to the server system through a network, the captured image information being information about a captured image captured using the terminal device, and the metadata being added to the captured image; an insertion image selection section that selects an insertion image based on the received metadata, the insertion image being an image differing from the acquired captured image; and an image set generation section that generates image set information in which the insertion image is inserted into the captured image information.

Abstract: A server system includes: a reception section that receives captured image information and metadata from a terminal device connected to the server system through a network, the captured image information being information about a captured image captured using the terminal device, and the metadata being added to the captured image; an insertion image selection section that selects an insertion image based on the received metadata, the insertion image being an image differing from the acquired captured image; and an image set generation section that generates image set information in which the insertion image is inserted into the captured image information.

Abstract: An image processing system includes an image acquisition section that consecutively acquires still images, a direction determination section that determines a camera moving direction, a slit image generation section that generates slit images based on the consecutively acquired still images, and a panoramic image generation section that performs a synthesis process of the slit images to generate a panoramic image. The direction determination section determines whether the camera moving direction is a first camera moving direction or a second camera moving direction when the imaging section is moved during capture. The panoramic image generation section performs the synthesis process of each slit image based on the camera moving direction when the consecutively acquired still images were captured to generate the panoramic image.

Abstract: An image processing system includes an image acquisition section that consecutively acquires still images, a direction determination section that determines a camera moving direction that is a moving direction of an imaging section during capture, and a panoramic image generation section that performs a synthesis process of the consecutively acquired still images to generate a panoramic image. The direction determination section determines whether the camera moving direction is a first camera moving direction or a second camera moving direction that differs from the first camera moving direction when the imaging section is moved during capture. The panoramic image generation section performs the synthesis process of a still image among the consecutively acquired still images based on the camera moving direction when the consecutively acquired still images were captured to generate the panoramic image.