Abstract: A medical image navigation system (2) includes a viewport module (4), a proximity module (26), a visualization module (28) and a matching module (34). The viewport module (4) navigates a plurality of image slices of a study and based on input from at least one input device selects at least one image which is displayed and any annotations associated with the selected at least one image on a display device. The proximity module (26) for the selected image slice returns at least one proximate annotation, if available. The visualization module (28) for the returned at least one proximate annotation visualizes the at least one proximate annotation which is displayed by the viewport module on the selected at least one image. A matching module (34) retrieves for display an image slice in one study which corresponds to a displayed image slice from another study.

Abstract: A system for creating a longitudinal view of patient findings includes a natural language processing engine which extracts clinical findings from a clinical document. A temporal resolution engine determines which other clinical documents the clinical findings belong to. A visualization graphical user interface indicates the correlation of the clinical findings between the clinical document and the other clinical documents. The natural language processing engine also links one or more images to the clinical findings.

Abstract: A method includes detecting a focus of attention of an observer of an anatomical image of a set of images, determining a location of the anatomical image includes tissue with a finding of interest based on the detected focus of attention, identifying an anatomical image, from an earlier acquired imaging data set, with a same portion of tissue as the displayed image, visually displaying graphical indicia, concurrently with the displayed image, that identifies the earlier acquired image.

Abstract: A text analysis system is described. A natural language input unit (1) is arranged for enabling a user to input a free text (10) in a natural language. A natural language processing unit (2) is arranged for processing at least a portion of the free text (10) while it is being inputted, to obtain an explicit representation (11) of semantics represented by the free text. An explicit information input unit (3) is arranged for enabling the user to input explicit information (12) relating to the explicit representation (11) of semantics. The system comprises a visualization unit (4) for visualizing at least part of the explicit representation (11) to the user while the user is still inputting the free text (10). A user interface (5) is arranged for providing a user with simultaneous access to both the natural language input unit (1) and the explicit information input unit (3).

Abstract: A system, method and computer readable storage medium for generating a context driven summary view of medical findings by retrieving a current study including at least one image to be analyzed, extracting current context information from the current study and storing the current context information in a database and matching the current context information with prior context information from prior studies to return a set of relevant prior studies.

Abstract: A system for selecting a set of documents from a health record of a patient (1) is disclosed. A specialty unit (21) is arranged for determining a specialty (3) for selecting the set of documents, to obtain a determined specialty. A first selecting unit (4) is arranged for selecting a first set of documents (5) from the health record, wherein a specialty of a physician associated with the documents of the first set of documents (5) matches the determined specialty. A body part determining unit (6) is arranged for determining a body part (7) associated with at least one document of the first set of documents (5), to obtain a body part. A second selecting unit (8) is arranged for selecting a second set of documents (9) from the health record, wherein a body part associated with the documents of the second set of documents matches the determined body part.

Abstract: A medical image navigation system (2) includes a viewport module (4), a proximity module (26), a visualization module (28) and a matching module (34). The viewport module (4) navigates a plurality of image slices of a study and based on input from at least one input device selects at least one image which is displayed and any annotations associated with the selected at least one image on a display device. The proximity module (26) for the selected image slice returns at least one proximate annotation, if available. The visualization module (28) for the returned at least one proximate annotation visualizes the at least one proximate annotation which is displayed by the viewport module on the selected at least one image. A matching module (34) retrieves for display an image slice in one study which corresponds to a displayed image slice from another study.

Abstract: An annotation support system (10) comprising at least one display device (20). A context extraction module (24, 36) determines a context of a current medical image from a current image study. A matching module (26, 38) compares the context of the current medical image to contexts of prior medical images from prior image studies. A display module (28, 40) displays at least one of context relevant annotations and context relevant medical images from the prior image studies which match the context of the current medical study.

Abstract: The exemplary embodiments are related to systems and methods for automatically selecting one or more suitable medical imaging protocols based on a patient's clinical information. Exemplary embodiments relate to methods and systems for collecting clinical information for a current patient, generating an encoded description of a plurality of imaging protocols in a computer-processable format including medical concepts, converting the collected clinical information into the computer-processable format, and recommending or providing at least one suitable imaging protocol based on the encoded description and the converted clinical information for the current patient.

Abstract: A system and method for generating summary data based on a patient report. The method includes receiving at least one patient report of a plurality of patient reports. The patient report includes first data relating to a patient. The method also includes analyzing the at least one patient report to identify at least one section as a function of predetermined identifiers. The method also includes analyzing the at least one section to identify second data relating to the patient. The method also includes generating summary data as a function of the identified second data.

Abstract: A text analysis system is described. A natural language input unit (1) is arranged for enabling a user to input a free text (10) in a natural language. A natural language processing unit (2) is arranged for processing at least a portion of the free text (10) while it is being inputted, to obtain an explicit representation (11) of semantics represented by the free text. An explicit information input unit (3) is arranged for enabling the user to input explicit information (12) relating to the explicit representation (11) of semantics. The system comprises a visualization unit (4) for visualizing at least part of the explicit representation (11) to the user while the user is still inputting the free text (10).

Abstract: A system, method and computer readable storage medium for retrieving a narrative report for at least one study including a plurality of images of a patient from a memory, determining text structure boundaries to identify and classify each text structure in the narrative report, determining image references in each text structure of the narrative report, extracting image references from text structures classified as including an image reference and determining a study to which an extracted image reference corresponds.