Abstract: Methods and systems for generating and displaying a simulated anatomical photograph. One system includes an electronic processor. The electronic processor is configured to receive a first selection from a user, the first selection designating a body part of a patient, receive a second selection from the user, the second selection designating a time period, automatically access imaging information for the patient associated with the first selection and the second selection, automatically generate the simulated anatomical photograph for the body part for the time period based on the imaging information, and display the simulated anatomical photograph to the user within a graphical user interface.

Abstract: A method of automatically tracking the portions of a 3D medical imaging volume, such as the voxels, that have already been displayed according to use-defined display parameters, notating those portions, and providing the user with information indicating what portions of the imaging volume have been displayed at full resolution.

Abstract: Systems and techniques are disclosed for improvement of machine learning systems based on enhanced training data. An example method includes generating an interactive classification user interface concurrently displaying a first group of medical images and a second group of medical images, each group depicting objects associated with a respective classification. User input indicating movement of medical images from the first group to the second group is detected. The moved medical images are classified according to the second group. The re-classified medical images are provided to a machine learning system, with the machine learning system updating based on analysis of object characteristics of the re-classified medical images to increase accuracies associated with automated assignment of classifications.

Abstract: Systems and methods that allow transfer and display rules to be defined based on one or more of several attributes, such as a particular user, site, device, and/or image/series characteristic, as well as whether individual images and/or image series are classified as thin slices and/or based on other characteristics, and applied to medical images in order to determine which images and/or image data are analyzed, downloaded, viewed, stored, rendered, processed, and/or any number of other actions that might be performed with respect to medical image data. The system and methods may include image analysis, image rendering, image transformation, image enhancement, and/or other aspects to enable efficient and customized review of medical images.

Abstract: A method, computer system, and a computer program product for dynamically altering at least one image is provided. The present invention may include receiving a plurality of data, wherein the received plurality of data includes at least one existing medical image. The present invention may also include determining that one or more user instructions for the received existing image were received. The present invention may then include implementing the one or more user instructions on the received existing medical image. The present invention may also include altering the received existing medical image based on the one or more implemented user instructions and a medical knowledge base.

Abstract: A method of matching medical images according to user-defined matches rules. In one embodiment, the matched medical images are displayed according user-defined display rules such that the matched medical images may be visually compared in manner that is suitable to the viewer's viewing preferences.

Abstract: A system and method of providing dynamic and customizable medical forms is disclosed. In certain specific embodiments, these dynamic and customizable medical forms may be automatically presented to users based on a predefined series of rules which allow multiple users having different roles in the clinical process to collaborate and contribute to a medical examination report, while at the same time maintaining an independent record of what was contributed and by whom it was contributed.

Abstract: A diagnostic manager receives a health history of a patient and generates a plurality of probabilities corresponding to a plurality of medical conditions based on the health history of the patient. The diagnostic manager generates a first list of potential diagnostic measures and calculates respective values for respective diagnostic measures and respective costs for respective diagnostic measures in the first list of potential diagnostic measures. The diagnostic manager calculates respective scores for respective diagnostic measures in the first list of potential diagnostic measures and outputs a recommended diagnostic measure.

Abstract: Systems and techniques are disclosed for opportunistic presentation of functionality for increasing efficiencies of medical image review, such as based on deep learning algorithms applied to medical data. One of the methods includes a user interface that displays, in a first portion of the user interface, one or more medical images associated with a patient. Widgets selected from a multitude of widgets are displayed in a second portion of the user interface, with the selection being based on a context associated with the user interface. User input associated with each interaction with the displayed widgets are responded to, and the first portion or second portion are updated in response to the received user input.

Abstract: Provided herein are various systems and methods for storing, accessing, and utilizing information regarding medical image montages. Further provided herein are various systems and methods of using an exam type data structure to map exam types in various formats to master exam types that may be associated with customized rules or other features. Further provided herein are various systems and methods for customizing display of items associated with medical exams based on one or more categories (for example) associated with respective items.

Abstract: Systems and techniques are disclosed for determination of lesions identified in medical images of differing perspectives. One of the methods includes obtaining images of a breast of a patient, each image being from a perspective, wherein the images include at least a first image and a second image. A skin contour line representing an obliquity of a chest wall of the patient is determined. A posterior nipple line extending from a nipple included in the first image is determined that perpendicularly intersects with the skin contour line. An interactive user interface is presented that includes the posterior nipple line on the first image. Compatibility information for lesions indicated in each of the first and second image is determined, the information indicating whether a first lesion in the first image is a same lesion in the breast as a second lesion in the second image.

Abstract: In an approach to tracking markers in one or more images, one or more computer processors identify objects that exist in more than one image from a plurality of images. The one or more computer processors analyze the identified objects for one or more physical characteristics. The one or more computer processors assign a marker to at least one object of the identified objects on at least one image of the more than one image, wherein the marker is annotated based upon the one or more physical characteristics of the object of the identified objects. The one or more computer processors store the more than one images, analysis data, and marker data associated with the identified objects and one or more markers. The one or more computer processors manipulate the one or more images based on a change in the objects across the more than one image.

Abstract: An expert opinion crowdsourcing system is disclosed that may enable a person seeking an opinion (or other work product) to efficiently access experts (or other persons) who may provide such opinions (or other work products). For example, the system may enable a person to submit a request to the system, at which point the system may automatically match the request to one or more appropriate experts. The system may then provide the request to the appropriate experts, and receive opinions back from the experts in response to the request. The opinions may then be provided back to the person that submitted the request. The request may include various characteristics and/or criteria that may be matched to, or satisfied by, other characteristics or criteria associated with the experts. The system may include aspects whereby requests and/or opinions may be anonymized and/or combined.

Abstract: A method of matching medical images according to user-defined matches rules. In one embodiment, the matched medical images are displayed according user-defined display rules such that the matched medical images may be visually compared in manner that is suitable to the viewer's viewing preferences.

Abstract: Methods and systems for generating and displaying a simulated anatomical photograph based on a medical image generated by an imaging modality. The system comprises an electronic processor configured to receive the medical image, determine an anatomical structure in the medical image, and automatically generate the simulated anatomical photograph based on the anatomical structure, wherein the pixels of the simulated anatomical photograph represent a simulated cross-sectional anatomical photograph of the anatomical structure. The electronic processor is also configured to determine a degree of confidence of a portion of the simulated anatomical photograph, compare the degree of confidence to a threshold, and, in response to the degree of confidence of the portion of the simulated anatomical photograph failing to satisfy the threshold, display the portion of the simulated anatomical photograph differently from another portion of the simulated anatomical photograph.

Abstract: An expert opinion crowdsourcing system is disclosed that may enable a person seeking an opinion (or other work product) to efficiently access experts (or other persons) who may provide such opinions (or other work products). For example, the system may enable a person to submit a request to the system, at which point the system may automatically match the request to one or more appropriate experts. The system may then provide the request to the appropriate experts, and receive opinions back from the experts in response to the request. The opinions may then be provided back to the person that submitted the request. The request may include various characteristics and/or criteria that may be matched to, or satisfied by, other characteristics or criteria associated with the experts. The system may include aspects whereby requests and/or opinions may be anonymized and/or combined.

Abstract: For certain medical images, it is important and/or required that a user view all of a medical image at full resolution so that minute, but important, indicia in the medical image are not missed. A computing systems monitor the portions of the medical image that are displayed on the display device, notates those portions that have been displayed at full resolution (or other user-defined display parameters), and provides the user with information indicating portions that have not been viewed at full resolution and/or provides information indicating for which images of a multiple image examination full pixel display has been accomplished. The process reduces the possibility of missing an abnormality in a medical image due to the viewer not viewing a portion of the image at full resolution or using other user defined display parameters.

Abstract: Methods and systems for generating an electronic structured report associated with a displayed electronic medical image. One method includes receiving an annotation for the electronic medical image, automatically determining, with an electronic processor, an anatomical location within the electronic medical image associated with the annotation, and automatically determining, with the electronic processor, a location within the electronic structured report associated with the anatomical location based on a predetermined mapping. The method also includes automatically populating the location of the electronic structured report based on the annotation.

Abstract: For certain medical images, it is important and/or required that a user view all of a medical image at full resolution so that minute, but important, indicia in the medical image are not missed. A computing systems monitor the portions of the medical image that are displayed on the display device, notates those portions that have been displayed at full resolution (or other user-defined display parameters), and provides the user with information indicating portions that have not been viewed at full resolution and/or provides information indicating for which images of a multiple image examination full pixel display has been accomplished. The process reduces the possibility of missing an abnormality in a medical image due to the viewer not viewing a portion of the image at full resolution or using other user-defined display parameters.

Abstract: Methods and systems for generating a simulated anatomical photograph based on a medical image generated by an imaging modality. One method includes receiving, with an electronic processor, the medical image, anatomically segmenting the medical image, with the electronic processor, to determine a plurality of anatomical structures represented in the medical image, and determining, with the electronic processor, how each of the plurality of anatomical structures is photographically depicted by accessing at least one knowledge base.