Abstract:
The following relates to an improved system and method for displaying medical information. In one aspect, a root concepts circle including at least one clinical concept category is displayed. A children concept ring, which may be built based on a user- selected clinical concept category of the at least one clinical concept categories, may surround or partially surround the root concept circle. A ring fashion timeline may also be displayed, and may be built based on a user-selected clinical concept of the at least one clinical concepts.
Abstract:
A system and method perform the steps of retrieving a report for an imaging exam; parsing out text from the report; mapping the parsed text to an ontology; automatically deriving a categorization scheme from ontology concepts extracted from the report for the imaging exam; assigning a semantic category to the imaging exam using the ontology concepts and the categorization scheme; and grouping the imaging exam with other imaging exams based on the assigned semantic category.
Abstract:
A non-transitory computer-readable storage medium storing a set of instructions that are executable by a processor, the set of instructions, when executed by the processor, causing the processor to perform operations comprising receiving an imaging study including a medical image of a patient; extracting image context from the imaging study; generating a search query based on the image context; sending the search query to a data source; receiving results of the query from a data source; and providing the results to a user.
Abstract:
A system and method selects a user interface. The method is performed by an imaging device including a gaze tracker. The method includes receiving captured data used to generate an image that is displayed where the image includes identified areas. The method includes tracking a first viewing location on the image by a user of the imaging device. The method includes determining one of the identified areas in the image being viewed based upon the first viewing location. The method includes determining a first user interface to be provided based upon a first correlation to the determined identified area. The method includes displaying the first user interface for use by the user.
Abstract:
A system and method for analyzing a patient report to determine whether a follow-up has been recommended. The system and method perform the steps of extracting a portion of text indicating a follow-up recommendation from the report, extracting a name of the follow-up recommendation and determining a corresponding time interval from the portion of text, extracting context information relating to the patient report, and determining, based on the context information and the name of the follow-up recommendation, whether an appointment corresponding to the follow-up recommendation has been scheduled.
Abstract:
A system and method for automatically setting image viewing context. The system and method perform the steps of extracting image references and body parts associated with the image references from a report, mapping each of the body parts to an image viewing context so that image references associated are also associated with the image viewing context, receiving a user selection indicating an image to be viewed, determining whether the user selection is one of the image references associated with the image viewing context and displaying the image of the user selection
Abstract:
A system for correlating patient radiology and pathology reports to track discordance among radiology and pathology diagnoses includes a natural language processor engine which extracts radiological information and pathology information. A correlation module correlates the radiology information and pathology information in a specific time period. A visualization graphical user interface indicates the correlation of radiology information and pathology information in a patient history. A tracking module which tracks misdiagnosis cases.
Abstract:
A medical imaging apparatus includes a radiology workstation (10) with a workstation display (14) and one or more workstation user input devices (16). A medical imaging device controller (26) includes a controller display (30) and one or more controller user input devices (32). The medical imaging device controller is connected to control a medical imaging device (40) to acquire medical images (44). One or more electronic processors (22, 38) are programmed to: operate the medical workstation to provide a graphical user interface (GUI) (24) that displays medical images stored in a radiology information system (RIS) (20), receives entry of medical examination reports, displays an image rating user dialog (70), and receives, via the image rating user dialog, image quality ratings for medical images displayed at the medical workstation; operate the medical imaging device controller to perform an imaging examination session including operating the medical imaging device controller to control the medical imaging device to acquire session medical images; while performing the imaging examination session, assign quality ratings to the session medical images based on image quality ratings received via the image quality rating user dialog displayed at the medical workstation; and while performing the imaging examination session, display quality ratings assigned to the session medical images.
Abstract:
A region of interest (ROI) segmentation system (10) includes a display device (20), a gaze-tracking device (28), a gaze point collector (32), a boundary identifier(36), and a region identifier (38). The display device (20) displays an image (14). The gaze-tracking device (28) generates gaze points relative to the displayed image (14). The gaze point collector (32) selects gaze points from the generated gaze points (30) corresponding to a region of interest (ROI) (25) of the displayed image (14). The boundary identifier (36) estimates a boundary (70) based on the selected gaze points (54, 60). The region identifier (38) segments the ROI (25) based on the estimated boundary (70).
Abstract:
A system includes (100) includes a display (112) that sequentially displays images from an image data set at a predetermined rate, an optical attention monitoring device (120) that senses a characteristic indicative of a clinician's attention to each displayed image of the image data set, and a processor (106) that executes an attention detection module (118) that detects a lapse in attention with respect to one or more of the displayed images based on the sensed characteristic indicative of the clinician's attention and generates a signal indicating the one or more of the displayed images.