Abstract: The position detection means detects a position of an endoscope based on an endoscopic image or the like. The speed estimation means estimates a withdrawal speed of the endoscope based on the acquired position of the endoscope. The display control means displays information indicating a region of interest, which is a region where the withdrawal speed was equal to or higher than a predetermined threshold value, on a display device based on the position of the endoscope and the withdrawal speed.

Abstract: An endoscopic examination assistance device according to an aspect of the present disclosure includes: a memory storing instructions; and at least one processor configured to execute the instructions to: acquire an endoscopic image captured by an imaging unit of an endoscope and imaging unit position information indicating a position of the imaging unit of the endoscope within a lumen at a time when the endoscopic image is captured; detect a lesion from the endoscopic image; determine whether it is an insertion step for inserting the endoscope to a turnaround point in the lumen or a removal step for removing the endoscope from a turnaround point in the lumen; and cause a notification device to give notification according to a positional relationship between the imaging unit position information and lesion position information indicating a position of a lesion, in a case where a result of the determination indicates the removal step.

Abstract: In a video editing device, a video acquisition means acquires an endoscopic video taken by an endoscope. A first timing acquisition means acquires a first timing at which a lesion is detected from the endoscopic video. A second timing acquisition means acquires a second timing at which an examiner instructs photographing based on the endoscopic video. An editing means generates an edited video by extracting, from the endoscopic video, a partial video of a predetermined time period before and after a timing corresponding to at least one of the first timing and the second timing, and output the edited video.

Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic image taken by an endoscope. The first lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a normal state of a large intestine. The second lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a predetermined state of the large intestine. The output means outputs at least one of a detection result of the first lesion detection means and a detection result of the second lesion detection means.

Abstract: The acquisition unit 41B acquires a target image indicating a target object of inspection. The detection unit 42B detects, on the basis of a group of images each of which indicates the target object in a normal state, the target image that indicates the target object that is not in the normal state among the target images that the acquisition unit 41B acquires.

Abstract: The image acquisition means acquires a captured image by an endoscope. The position acquisition means acquires positional information of the endoscope. The lesion detection means detects a lesion from the captured image. The washing degree determination means determines a degree of intestinal tract washing from the captured image. The reaching determination means determines that the endoscope reaches a cecum from the captured image. The end determination means determines an end timing of an examination by the endoscope. The calculation means calculates an observation time based on a timing that the endoscope reaches the cecum and the end timing. The report generation means generates an examination report including the observation time, the degree of intestinal tract washing, a presence or absence of reaching the cecum of the endoscope, and a detection result of the lesion including the positional information of the lesion. The generated examination report is displayed on the display device.

Abstract: The endoscopic image acquisition means acquires an endoscopic image. The still image acquisition means acquires a plurality of still images obtained by imaging a lesion included in the endoscopic image. The identity determination means determines an identity of the lesion included in the plurality of still images. The selection means selects a representative image that best represents the lesion, from a plurality of still images determined to correspond to the same lesion, and displays the representative image on the display device.

Abstract: An information processing apparatus (2000) detects an abnormal region (30) in each of a plurality of video frames (14) constituting video data (12) in which the inside of a body is captured. The information processing apparatus (2000) outputs output information related to the detected abnormal region (30). Herein, the information processing apparatus (2000) starts outputting of the output information when a detection score based on a proportion of the number of the video frames (14) in which the abnormal region (30) is detected becomes equal to or more than a first threshold value in a state where outputting of the output information is not being performed. Further, the information processing apparatus (2000) ends outputting of the output information when the detection score becomes equal to or less than a second threshold value in a state where outputting of the output information is being performed.

Abstract: An information processing apparatus (2000) detects an abnormal region (30) in each of a plurality of video frames (14) constituting video data (12) in which the inside of a body is captured. The information processing apparatus (2000) outputs output information related to the detected abnormal region (30). Herein, the information processing apparatus (2000) starts outputting of the output information when a detection score based on a proportion of the number of the video frames (14) in which the abnormal region (30) is detected becomes equal to or more than a first threshold value in a state where outputting of the output information is not being performed. Further, the information processing apparatus (2000) ends outputting of the output information when the detection score becomes equal to or less than a second threshold value in a state where outputting of the output information is being performed.

Abstract: The acquisition unit 41B acquires a target image indicating a target object of inspection. The detection unit 42B detects, on the basis of a group of images each of which indicates the target object in a normal state, the target image that indicates the target object that is not in the normal state among the target images that the acquisition unit 41B acquires.

Abstract: The acquisition unit 41B acquires a target image indicating a target object of inspection. The detection unit 42B detects, on the basis of a group of images each of which indicates the target object in a normal state, the target image that indicates the target object that is not in the normal state among the target images that the acquisition unit 41B acquires.

Abstract: An information processing apparatus (2000) detects an abnormal region (30) in each of a plurality of video frames (14) constituting video data (12) in which the inside of a body is captured. The information processing apparatus (2000) outputs output information related to the detected abnormal region (30). Herein, the information processing apparatus (2000) starts outputting of the output information when a detection score based on a proportion of the number of the video frames (14) in which the abnormal region (30) is detected becomes equal to or more than a first threshold value in a state where outputting of the output information is not being performed. Further, the information processing apparatus (2000) ends outputting of the output information 10 when the detection score becomes equal to or less than a second threshold value in a state where outputting of the output information is being performed.

Abstract: A medicine recommendation apparatus (2000) acquires disease information (20), gene mutation information (30), and current medication information (40). The disease information (20) is information regarding a disease that a subject suffers from. The gene mutation information (30) is information regarding a gene mutation of the subject. The current medication information (40) is information regarding a medicine that the subject is using. The medicine recommendation apparatus (2000) generates candidate medicine information (10) by using the disease information (20), the gene mutation information (30), and the current medication information (40). The candidate medicine information (10) is information regarding a candidate for a medicine use of which can be recommended to the subject or which can be prescribed to the subject.

Abstract: An endoscopy support apparatus 1 includes: an analysis information generation unit 2 that inputs image information of an imaged living body into a model, estimates a region of a target site of the living body, and generates analysis information including region information indicating the estimated region and score information indicating likeness of the region to the target site; a user information generation unit 3 that generates user information related to the user, which has been input by a user using a user interface 23; an image-related information generation unit 4 that generates image-related information by associating imaging date and time information, the analysis information, and the user information, for each piece of image information; and an examination management information generation unit 5 that generates examination management information by associating a plurality of pieces of the image-related information with examination information indicating an examination period.

Abstract: An endoscopy support apparatus 1 includes: an analysis information generation unit 2 that inputs image information of an imaged living body into a model, estimates a region of a target site of the living body, and generates analysis information including region information indicating the estimated region and score information indicating likeness of the region to the target site; a user information generation unit 3 that generates user information related to the user, which has been input by a user using a user interface 23; an image-related information generation unit 4 that generates image-related information by associating imaging date and time information, the analysis information, and the user information, for each piece of image 10 information; and an examination management information generation unit 5 that generates examination management information by associating a plurality of pieces of the image-related information with examination information indicating an examination period.

Abstract: An endoscopy support apparatus 1 includes: an analysis information generation unit 2 that inputs image information of an imaged living body into a model, estimates a region of a target site of the living body, and generates analysis information including region information indicating the estimated region and score information indicating likeness of the region to the target site; a user information generation unit 3 that generates user information related to the user, which has been input by a user using a user interface 23; an image-related information generation unit 4 that generates image-related information by associating imaging date and time information, the analysis information, and the user information, for each piece of image 10 information; and an examination management information generation unit 5 that generates examination management information by associating a plurality of pieces of the image-related information with examination information indicating an examination period.

Abstract: An information processing device includes: a first acquisition unit configured to acquire a capturing time of a lesion image instructed to be saved by a user, from a series of images captured by an endoscope during examination with the endoscope; a second acquisition unit configured to acquire a capturing time of a lesion image detected by detection processing for the series of images captured by the endoscope during the examination; and a display control unit configured to cause a display device to display a first capturing time and a second capturing time which are plotted on a time axis, the first capturing time being the capturing time acquired by the first acquisition unit, the second capturing time being the capturing time acquired by the second acquisition unit.

Abstract: An information processing apparatus (2000) detects an abnormal region (30) in each of a plurality of video frames (14) constituting video data (12) in which the inside of a body is captured. The information processing apparatus (2000) outputs output information related to the detected abnormal region (30). Herein, the information processing apparatus (2000) starts outputting of the output information when a detection score based on a proportion of the number of the video frames (14) in which the abnormal region (30) is detected becomes equal to or more than a first threshold value in a state where outputting of the output information is not being performed. Further, the information processing apparatus (2000) ends outputting of the output information when the detection score becomes equal to or less than a second threshold value in a state where outputting of the output information is being performed.

Abstract: A genetic characteristic estimation device (2000) acquires genetic mutation information (30) and position information (40). The genetic mutation information (30) indicates information regarding a genetic mutation in a deoxyribonucleic acid (DNA) sequence of a target cell (20) obtained from a target organism (10). In the position information (40), a position on the DNA sequence is associated with the type of a cell or the type of an organ. The genetic characteristic estimation device (2000) determines a genetic mutation at the position associated with the type of the target cell (20) or the type of an organ including the target cell (20) in the position information (40) from among genetic mutations indicated by the genetic mutation information (30), and computes a genetic characteristic index value representing a genetic characteristic of the target organism (10) based on a characteristic of the determined genetic mutation.

Abstract: An endoscopy support apparatus 1 includes: an analysis information generation unit 2 that inputs image information of an imaged living body into a model, estimates a region of a target site of the living body, and generates analysis information including region information indicating the estimated region and score information indicating likeness of the region to the target site; a user information generation unit 3 that generates user information related to the user, which has been input by a user using a user interface 23; an image-related information generation unit 4 that generates image-related information by associating imaging date and time information, the analysis information, and the user information, for each piece of image information; and an examination management information generation unit 5 that generates examination management information by associating a plurality of pieces of the image-related information with examination information indicating an examination period.