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: 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: A wearable, flexible, bio-sensing housing with physical feedback, with software running on a user's wirelessly connected smart device. The housing has embedded at least one of pressure, movement, temperature, velocity, and acceleration sensors, and at least one of a haptic, vibrational, audio, visual, kinesthetic, tactile, olfactory, thermal, vestibular, and somatosensory feedback mechanisms. The feedback being triggered by measurements from the sensors and predetermined parameters, as compared by the smart device's software and/or a connected server. With real-time measurements and real-time feedback directly to the user's body, the user can perform real-time adjustment of his activity to obtain optimal performance and/or health.

Abstract: Systems and techniques are disclosed for improvement of machine learning systems based on enhanced training data. An example method includes providing a visual concurrent display of a set of images of features, the features requiring classification by a reviewing user. The user interface is provided to enable the reviewing user to assign classifications to the images, the user interface being configured to create, read, update, and/or delete classifications. The user interface is responsive to the user, with the user response indicating at least two images with a single classification. The user interface is updated to represent the single classification.

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: A brim extender attaches to any standard baseball-style cap and includes a malleable shape-holding portion that allows the user to deform portions of the brim extender to meet the sub-blocking and/or aesthetic needs of the user. Thus, the brim extender may provide advantages including (1) improved sun protection that may be customized by reconfiguring the shape of the brim extender, (2) additional options for style and appearance of the hat, (3) display of promotional items (e.g., a new thing that can be labeled, colored, or styled to market a brand), and/or (4) an added barrier between the head and the crown of the cap to shield or partially shield the cap from perspiration and other substances coming from the scalp or hair.

Abstract: Systems and techniques are disclosed for improvement of machine learning systems based on enhanced training data. An example method includes providing a visual concurrent display of a set of images of features, the features requiring classification by a reviewing user. The user interface is provided to enable the reviewing user to assign classifications to the images, the user interface being configured to create, read, update, and/or delete classifications. The user interface is responsive to the user, with the user response indicating at least two images with a single classification. The user interface is updated to represent the single classification.

Abstract: Inference of appropriate anatomical region from inconsistent descriptions in order to provide fast and accurate prefetching is provided. In various embodiments, an anatomical region of a first medical imaging study is determined. A first plurality of keywords is determined corresponding to the anatomical region of the first medical imaging study. A plurality of studies is accessed having a patient in common with the first medical imaging study. A second plurality of keywords is extracted from the plurality of studies. Those of the plurality of studies having extracted keywords in common with the first plurality of keywords are selected. The selected studies are pre-fetched for display to a user.

Abstract: Systems and techniques are disclosed for improvement of machine learning systems based on enhanced training data. An example method includes accessing a database storing associations between objects included in medical images and classifications of the objects. A risk assessment model adapted to determine a risk condition for an object is accessed, the assessment based on features of the object. Risk conditions associated with respective objects are determined based on the risk assessment model. A group of objects associated with a first risk condition is identified. An interactive user interface is generated for display, the user interface concurrently displaying images of the group of objects. The interactive user interface enables a user to select subsets of images to be concurrently assigned a user-selected classification. User selected classifications are provided to a machine learning system adapted to update the risk assessment model based on the classifications to increase accuracy of the model.

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 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: Methods and systems for performing image analytics using graphical reporting associated with clinical images. One system includes at least one data source and a server. The server includes an electronic processor and an interface for communicating with the 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 model is used to automatically analyze an image.

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 wearable, flexible, bio-sensing housing with physical feedback, with software running on a user's wirelessly connected smart device. The housing has embedded at least one of pressure, movement, temperature, velocity, and acceleration sensors, and at least one of a haptic, vibrational, audio, visual, kinesthetic, tactile, olfactory, thermal, vestibular, and somatosensory feedback mechanisms. The feedback being triggered by measurements from the sensors and predetermined parameters, as compared by the smart device's software and/or a connected server. With real-time measurements and real-time feedback directly to the user's body, the user can perform real-time adjustment of his activity to obtain optimal performance and/or health.

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: A golf ball remover allows easy removal of a golf ball from a golf hole while the flagstick is left in place, thereby sparing physical strain on the golfer and potential damage to the hole. The golf ball remover may user the flagstick itself as a movement guide, with a ball grabbing component that is not kept within the hole, but instead is stored above the hole on the flagstick and is pushed down into the hole when used. The golf ball remover may be attached to a retractable cord and/or other movement component to automatically lift it out of the hole.

Abstract: Annotations of medical images may be generated using one or more lexicons so that terminology is consistent across multiple exams, users, facilities, etc. Measurements of lesions may be provided using a bilinear measurement tool that allows easier bilinear measurements. Disease assessment models may be selected and applied as measurements are acquired in order to provide immediate determination of disease staging according to one or more selected assessment models.

Abstract: Inference of appropriate anatomical region from inconsistent descriptions in order to provide fast and accurate prefetching is provided. In various embodiments, a first plurality of user-configurable rules is read from a data store. Each rule maps to a user-configurable anatomical region. A plurality of studies is accessed from the image archive. Each of the plurality of studies has associated metadata. The plurality of rules is applied to the metadata associated with the plurality of studies to determine an anatomical region of each of the plurality of studies. Based on the anatomical regions of the plurality of studies and one or more additional rule, a subset of the plurality of studies is selected for display to a user on a display.

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 golf ball remover allows easy removal of a golf ball from a golf hole while the flagstick is left in place, thereby sparing physical strain on the golfer and potential damage to the hole. The golf ball remover may user the flagstick itself as a movement guide, with a ball grabbing component that is not kept within the hole, but instead is stored above the hole on the flagstick and is pushed down into the hole when used. The golf ball remover may be attached to a retractable cord and/or other movement component to automatically lift it out of the hole.