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: Systems and methods for providing user interfaces are disclosed. In certain embodiments, a menu having a number of icons can be provided on a display device such that the icons are arranged around an initial cursor position, or an area that is touched by a user's finger or stylus, for example. Due to the icons being arranged around the initial cursor position, any one of the icons from the menu can be chosen with relatively small cursor movement. In certain embodiments, the menu can be divided into regions that overlap with the icons, such that cursor movement from the initial cursor position into a given region has a similar effect as movement into the corresponding icon itself (without actually moving the cursor onto the desired icon).

Abstract: Database systems and techniques are disclosed for accessing data stores of digital medical images, processing the digital images, and displaying the digital images to efficiently provide information in an interactive user interface. The disclosure may advantageously provide efficient and rapid dynamic interaction with digital images accessed from one or more databases to enable user detection of differences between related digital images. Interactive user interfaces may be dynamically updated to provide rapid comparison of digital images. Further, digital images from multiple data sources may be automatically sorted by the system according to attributes associated with the images and rules and/or preferences of the user. In an embodiment the user may select a digital image from a first data source, and the system automatically determines and displays one or more comparison images from other image data sources.

Abstract: A medical and/or clinical report includes one or more links to various external (and/or internal) data sources and/or systems that include information relevant to the medical report. In an embodiment, a medical report may be in a PDF format and include links to images associated with the exam, information regarding the patient, a scheduling application useful to schedule additional procedures for the patient, and/or any other information associated with the patient or exam. The medical report, including various links, may be generated based on information received from external medical data systems. For example, a medical report from an external system may be updated to include various links to systems and sources of data related to the medical report, as described herein.

Abstract: After selecting two or more image series for comparison, images of the image series are interleaved so that they are alternatively displayed in a comparison pane on a display device. In one embodiment, after one or more image series are selected for comparison, an interleaved image series is created containing each of the images of the one or more selected image series, or, alternatively, the interleaved image series comprises links to the images arranged in the interleaved pattern. If differences exist in the images of the multiple image series, these differences may be more easily detectable as the display device cycles between the images. Comparison of images in an interleaved image series may be more advantageous if the images of each selected image series are of a common anatomical area, common image size, and the images are in the same order.

Abstract: A medical and/or clinical report includes one or more links to various external (and/or internal) data sources and/or systems that include information relevant to the medical report. In an embodiment, a medical report may be in a PDF format and include links to images associated with the exam, information regarding the patient, a scheduling application useful to schedule additional procedures for the patient, and/or any other information associated with the patient or exam. The medical report, including various links, may be generated based on information received from external medical data systems. For example, a medical report from an external system may be updated to include various links to systems and sources of data related to the medical report, as described herein.

Abstract: The systems and methods of the present disclosure may provide, among other features, easy-to-learn, efficient, and/or unambiguous methods for controlling rotation and/or other manipulation of multi-dimensional (for example, 2D and/or 3D) images and/or objects. The systems and methods may be used for any type of image display/manipulation on a wide variety of computer systems and coupled displays including personal computers with monitors, phones, tablets, and televisions. In general, a user may select a particular rotation plane (for example, rotation only in x axis) by placement of a cursor, or touch of a finger, over a certain portion of the image such that subsequent movements of the mouse result in only rotations in the particular plane, and unwanted rotations and/or other manipulations in other planes do not occur. In this way, the user can more precisely control rotations of the 3D image and/or object.

Abstract: Database systems and techniques are disclosed for accessing data stores of digital medical images, processing the digital images, and displaying the digital images to efficiently provide information in an interactive user interface. The disclosure may advantageously provide efficient and rapid dynamic interaction with digital images accessed from one or more databases to enable user detection of differences between related digital images. Interactive user interfaces may be dynamically updated to provide rapid comparison of digital images. Further, digital images from multiple data sources may be automatically sorted by the system according to attributes associated with the images and rules and/or preferences of the user. In an embodiment the user may select a digital image from a first data source, and the system automatically determines and displays one or more comparison images from other image data sources.

Abstract: Database systems and techniques are disclosed for accessing data stores of digital medical images, processing the digital images, and displaying the digital images to efficiently provide information in an interactive user interface. The disclosure may advantageously provide efficient and rapid dynamic interaction with digital images accessed from one or more databases to enable user detection of differences between related digital images. Interactive user interfaces may be dynamically updated to provide rapid comparison of digital images. Further, digital images from multiple data sources may be automatically sorted by the system according to attributes associated with the images and rules and/or preferences of the user. In an embodiment the user may select a digital image from a first data source, and the system automatically determines and displays one or more comparison images from other image data sources.

Abstract: A medical and/or clinical report includes one or more links to various external (and/or internal) data sources and/or systems that include information relevant to the medical report. In an embodiment, a medical report may be in a PDF format and include links to images associated with the exam, information regarding the patient, a scheduling application useful to schedule additional procedures for the patient, and/or any other information associated with the patient or exam. The medical report, including various links, may be generated based on information received from external medical data systems. For example, a medical report from an external system may be updated to include various links to systems and sources of data related to the medical report, as described herein.

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 automatically determining image characteristics serving as a basis for a diagnosis associated with an image study type. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive an image study from the at least one data source over the interface. The image study being of the image study type and including a plurality of images. The electronic processor is also configured to determine an image characteristic for each of the plurality of images and determine whether each of the plurality of images was used to establish a diagnosis. The electronic processor is also configured to store the image characteristic for each of the plurality of images and an indicator of whether each of the plurality of images was used to establish the diagnosis in a data structure.

Abstract: Methods and systems for automatically mapping biopsy locations to pathology results. One system includes a server including an electronic processor and an interface for communicating with at least one data source and at least one pathology result source. The electronic processor is configured to receive an image from the at least one data source over the interface. The electronic processor is also configured to receive a biopsy location. The biopsy location includes a three-dimensional position mapped to a position within the image. The electronic processor is also configured to automatically locate an electronic pathology result for the biopsy location within the at least one pathology result source over the interface. The electronic processor is also configured to generate an electronic correlation between the biopsy location and the electronic pathology result. The electronic processor is also configured to display the image with the biopsy location marked within the image.

Abstract: Methods and systems for automatically analyzing clinical images using rules and image analytics. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive training information from the at least one data source over the interface. The training information includes a plurality of images and graphical reporting associated with each of the plurality of images. The electronic processor is also configured to perform machine learning to develop a model using the training information and receive an image for analysis. The electronic processor is also configured to determine a set of rules for the image and automatically process the image using the model and the set of rules to generate a diagnosis for the image.

Abstract: Methods and systems for automatically determining a clinical image or portion thereof for display to a diagnosing physician. One system includes an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive training information from the at least one data source and determine a subset of images included in each of the plurality of image studies displayed to one or more diagnosing physicians. The electronic processor is also configured to perform machine learning to develop a model based on the training information and the subset of images included in each of the plurality of image studies and receive the image study. The electronic processor is also configured to process the image study using the model to determine a subset of the plurality of images and flag the subset of the plurality of images for manual review by the diagnosing physician.

Abstract: Methods and systems for automatically determining diagnosis discrepancies for clinical images. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive a first diagnosis from the at least one data source over the interface. The first diagnosis is specified by a diagnosing physician for an anatomical structure represented in an image. The electronic processor is also configured to determine a second diagnosis for the anatomical structure. The second diagnosis is generated after the first diagnosis. The electronic processor is also configured to store the first diagnosis and the second diagnosis in a data structure. The electronic processor is also configured to automatically determine a discrepancy between the first diagnosis and the second diagnosis based on the data structure.

Abstract: Methods and systems for automatically analyzing clinical images using models developed using machine learning. One system includes a server having an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive training information from the at least one data source over the interface. The training information includes a plurality of images and graphical reporting associated with each of the plurality of images. Each graphical reporting includes a graphical marker designating a portion of one of the plurality of images and diagnostic information associated with the portion of the one of the plurality of images. The electronic processor is also configured to perform machine learning to develop a model using the training information. The electronic processor is also configured to receive an image for analysis and automatically process the image using the model to generate a diagnosis for the image.

Abstract: Methods and systems for automatically scoring diagnoses associated with clinical images. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive a diagnosis associated with an image of a patient from the at least one data source over the interface. The diagnosis is for an anatomical structure represented in the image. The electronic processor is also configured to receive a pathology result for the patient for the anatomical structure generated after the diagnosis from the at least one pathology result source over the interface. The electronic processor is also configured to automatically generate a score based on a comparison of the diagnosis and the pathology result. The electronic processor is also configured to display the score within a graphical user interface.

Abstract: Methods and systems for automatically selecting an implant for a patient. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive at least one image of the patient from the data source over the interface. The electronic processor is also configured to receive an intended location of the implant with reference to the at least one image. The electronic processor is also configured to automatically determine an anatomical structure based on the at least one image. The electronic processor is also configured to determine a preference. The electronic processor is also configured to automatically select one or more suggested implants based on the intended location, the anatomical structure, and the preference. The electronic processor is also configured to display the one or more suggested implants through a graphical user interface.

Abstract: Methods and systems for automatically analyzing clinical images and determining when additional imaging may aid a diagnosis. One system includes at least one data source and a server. The server includes an electronic processor and an interface for communicating with the at least one data source. The electronic processor is configured to receive an image of a patient from the at least one data source over the interface. The electronic processor is also configured to automatically process the image to generate a diagnosis for the image. The electronic processor is also configured to automatically determine, based on the diagnosis, at least one additional image for supplementing the diagnosis. The electronic processor is also configured to automatically locate the at least one additional image for the patient and when the at least one additional image is available, automatically update the diagnosis based on the at least one additional image.