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 displaying a medical image captured as part of a medical imaging procedure. One system includes an electronic processor configured to receive a plurality of images from an image database, the plurality of images included in a medical exam associated with the procedure. The electronic processor is also configured to automatically determine a classification for each of the plurality of images using a classification model analyzing content of each of the plurality of images, the classification including one of a textual image and an anatomical image. The electronic processor is also configured to determine a set of rules displaying the plurality of images and display a subset of the plurality of images based on the classification determined for each of the plurality of images and the set of rules.

Abstract: A probe including a first sensor having a first magnetometer and a first accelerometer and a second sensor having a second magnetometer and a second accelerometer is configured for determining the distance and direction to a marker. The marker may be magnetic and may be surgically inserted into a patient's body to mark a specific location. The probe may be used to locate the marker, thus identifying the location. The probe may include a microprocessor that receives an output from the first sensor and an output from the second sensor and determines the distance and direction to the marker.

Abstract: A conversation management system provides a conversational computing interface that manages verbal exchanges between a computer (e.g., artificial intelligence) and a human operator. In a medical embodiment, conversational input from the computing system is generated based on medical knowledge, uses deep learning algorithms, and/or intelligently tracks the state of a conversation so as to the most relevant data to the user.

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: A voice command system may enable a user to select, replace, delete, and/or modify items of textual content associated with, or following, headings and/or subheadings of a document by providing an input including a command (or identifier) and a heading/subheading identifier. The system may recognize, via voice recognition software and in combination with a rule set, the command and the identifier. For example, the system may include rules for determining a particular heading/subheading of the document being referenced by the identifier. The system may also include rules for identifying the textual content related to the identified heading/subheading. Once the textual content is identified, the system may automatically select or delete the identified textual content, and/or place a cursor (for example, a text input cursor) in a location where the deleted textual content was previously located.

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: 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 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 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: 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: 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: A user input interface on a mobile device may employ a set of routines to control computing functions on a computer. Computing functions may be associated with elements of the user input interface, such that the elements may be used to control the associated computing functions. The associations of computing functions and user input interface elements may be stored in a database.

Abstract: Systems and methods for generating electronic reports for medical images. One system includes an electronic processor configured to access a plurality of prior reports associated with a user and automatically generate a mapping using machine learning based on the plurality of prior reports. The mapping associates language included in the plurality of prior reports with at least one section of a report. The system stores the mapping to a memory, receives input from the user for an electronic report associated with a medical image, accesses the mapping from the memory, automatically determines a section in the electronic report associated with the input based on the mapping, and automatically inserts text into the section in the electronic report based on the input.

Abstract: Systems and methods for automatically adjusting a display property of data to reduce visual fatigue and impaired visual perception. One system includes an electronic processor configured to determine a display property of primary displayed data within a graphical user interface, determine a display property of secondary displayed data within the graphical user interface, and automatically adjust at least one display property of the secondary displayed data based on a comparison of the display property of the primary displayed data and the display property of the secondary displayed data.

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: A probe including a first sensor having a first magnetometer and a first accelerometer and a second sensor having a second magnetometer and a second accelerometer is configured for determining the distance and direction to a marker. The marker may be magnetic and may be surgically inserted into a patient's body to mark a specific location. The probe may be used to locate the marker, thus identifying the location. The probe may include a microprocessor that receives an output from the first sensor and an output from the second sensor and determines the distance and direction to the marker.

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: 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: 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.