Abstract: A set of user interface tools is described facilitating asynchronous adjudication of one or more regions-of-interest in a medical image by a group of two or more graders, each of which has access to the set of tools in a workstation environment. The set of tools include (1) a feature for enabling the graders to assess the medical image and manually delineate one or more specific regions-of-interest (ROI) in the medical image, (2) a feature for assessing the ROI(s) delineated by other graders, including display of the ROI delineated by other graders; (3) dialog features for explaining and discussing the assessments, including a text feature for discussing the assessments. The dialog features and the ROIs delineated by all the graders are visible to all the graders on the workstation display as they collectively adjudicate the medical image in a round-robin manner. The set of tools further include (4) a feature for manually verifying grader agreement with the other graders' assessments.

Abstract: A method is disclosed of processing a set of images. Each image in the set has an associated counterpart image. One or more regions of interest (ROIs) are identified in one or more of the images in the set of images. For ROI identified, a reference region is identified in the associated counterpart image. ROIs and associated reference regions are cropped out, thereby forming cropped pairs of images 1 . . . n1, that are fed to a deep learning model trained to make a prediction of probability of a state of the ROI, e.g., disease state, which generates a prediction Pi-, (i=1 . . . n) for each cropped pair. The model generates an overall prediction P from each of the predictions Pi. A visualization of the set of medical images and the associated counterpart images including the cropped pair of images is generated.

Abstract: A set of user interface tools is described facilitating asynchronous adjudication of one or more regions-of-interest in a medical image by a group of two or more graders, each of which has access to the set of tools in a workstation environment. The set of tools include (1) a feature for enabling the graders to assess the medical image and manually delineate one or more specific regions-of-interest (ROI) in the medical image, (2) a feature for assessing the ROI(s) delineated by other graders, including display of the ROI delineated by other graders; (3) dialog features for explaining and discussing the assessments, including a text feature for discussing the assessments. The dialog features and the ROIs delineated by all the graders are visible to all the graders on the workstation display as they collectively adjudicate the medical image in a round-robin manner. The set of tools further include (4) a feature for manually verifying grader agreement with the other graders' assessments.

Abstract: A medical report natural language model includes an artificial neural network implemented via the processor and is trained based a plurality of medical reports wherein each of the medical reports is mapped to at least one medical code of a plurality of medical codes and further based a plurality of medical condition terms from a plurality of alias mapping pairs, wherein each of the plurality of medical condition terms are unique, wherein each of the plurality of medical condition terms indicates a corresponding medical condition and wherein each of the plurality of alias mapping pairs includes a one of the plurality of medical condition terms and a corresponding single one of the plurality of medical codes that is a deterministic function of the one of the plurality of medical condition terms and wherein the plurality of alias mapping pairs includes two or more alias mapping pairs that map a corresponding two or more of the plurality of medical condition terms to a same one of the plurality of medical codes.

Abstract: A medical scan natural language analysis system is operable to generate a medical report natural language model based on a selected set of medical reports of the plurality of medical reports and the at least one medical code mapped to each of the selected set of medical reports. A medical report that is not included in the selected set is received via a network. A medical code is determined by utilizing the medical report natural language model on the first medical report. The medical code is mapped to a medical scan corresponding to the medical report.

Abstract: A method is provided for processing medical text and associated medical images. A natural language processor configured as a deep conventional neural network is trained on a first corpus of curated free-text, medical reports each of which having one or more structured labels assigned by an medical expert. The network is trained to learn to read additional free-text medical reports and produce predicted structured labels. The natural language processor is applied to a second corpus of free-text medical reports that are associated with medical images. The natural language processor generates structured labels for the associated medical images. A computer vision model is trained using the medical images and the structured labels generated. The computer vision model can thereafter assign a structured label to a further input medical image. In one example, the medical images are chest X-rays.

Abstract: Disclosed are the details about our computer system based software, and dedicated server system. The software is composed of a physics engine created with C++, and blueprinting techniques used to create an online web development platform. The physics engine acts as a base system on the computer that greatly enhances the features of a contemporary html, or java website. This system allows us to create more tools within a 3d metaverse, that is simple to use, and solves the 2d traditional website only problem in the internet. The invention has a wide variety of functions that allow 3d objects to be placed inside of the metaverse; customizing the site with a plethora of features including, color, material, images, and shape.

Abstract: A medical scan natural language analysis system is operable to generate a medical report natural language model based on a selected set of medical reports of the plurality of medical reports and the at least one medical code mapped to each of the selected set of medical reports. A medical report that is not included in the selected set is received via a network. A medical code is determined by utilizing the medical report natural language model on the first medical report. The medical code is mapped to a medical scan corresponding to the medical report.

Abstract: A method and system for querying a database involves dragging and dropping selected search criteria from one portion of a display to another portion of a display. When searching multiple criteria, a Boolean operation associated with the method depends upon the respective positions of the search criteria in the display. The method also allows for the results of the search to be dynamically updated as different criteria are selected.

Abstract: A method is provided for managing insulin dosage data collected over a complete day and a partial day. The method includes providing, by an insulin pump, a plurality of insulin dosages over a complete day and a partial day and recording the insulin dosages. The method also includes recognizing a completion of the complete day, recording an end-of-day marker, and associating the end-of-day marker to the dosages delivered during the complete day. Moreover, the method includes identifying complete day dosage data and partial day dosage data. Additionally, the method includes performing a calculation of insulin dosage statistics and/or displaying and distinguishing between the complete day dosage data and the partial day dosage data. The calculation includes the complete day dosage data and excludes the partial day dosage data.

Abstract: A method is provided for managing insulin dosage data collected over a complete day and a partial day. The method includes providing, by an insulin pump, a plurality of insulin dosages over a complete day and a partial day and recording the insulin dosages. The method also includes recognizing a completion of the complete day, recording an end-of-day marker, and associating the end-of-day marker to the dosages delivered during the complete day. Moreover, the method includes identifying complete day dosage data and partial day dosage data. Additionally, the method includes performing a calculation of insulin dosage statistics and/or displaying and distinguishing between the complete day dosage data and the partial day dosage data. The calculation includes the complete day dosage data and excludes the partial day dosage data.

Abstract: A system and method for creating a template configured to generate reports for reporting medical information. The method allows a user to generate a single template that may be then utilized in order to create a plurality of reports for numerous patients. The template is created by dragging and dropping the desired information onto a blank report. Once the desired format of the template has been set by the user, the user may save the template for future use.

Abstract: In a first embodiment of the present invention, a method of displaying selected media is disclosed. The method comprises registering a key on a user computer; accessing a key server via the Internet when the key is pressed; and displaying selected media on the user computer. In preferred embodiments of the method, the step of registering a key on a user computer includes the step of generating and storing a unique registration code.

Abstract: A system and method for reporting medical information permits a user to produce reports by storing report templates in a database, selecting at least two of the report templates and storing the selected report templates in the database as a new report template. The user can also change parameters associate with the previously stored report templates when creating the new report template.

Abstract: A method and system for querying a database involves dragging and dropping selected search criteria from one portion of a display to another portion of a display. When searching multiple criteria, a Boolean operation associated with the method depends upon the respective positions of the search criteria in the display. The method also allows for the results of the search to be dynamically updated as different criteria are selected.

Abstract: A system and method is provided for displaying a first selectable indicia that, when selected, produces a document of first help information relating to a first topic. The system and method also displaying a second selectable indicia that, when selected, produces a document of second help information relating to a chapter that includes the first topic.

Abstract: A system and method for creating a template configured to generate reports for reporting medical information. The method allows a user to generate a single template that may be then utilized in order to create a plurality of reports for numerous patients. The template is created by dragging and dropping the desired information onto a blank report. Once the desired format of the template has been set by the user, the user may save the template for future use.

Abstract: A method and system for merging patient data in the form of medical information, e.g., patient and/or healthcare provider information, is provided, which may be utilized to identify medical information stored in a first location that is unique to, a duplicate of, and/or a potential duplicate of medical information stored in a second location. In one exemplary embodiment, the present invention is utilized in conjunction with or incorporated into medical management software. In one exemplary embodiment, the medical management software is disease management software, such as diabetes management software. In medical management software, it is important to ensure that specific, individual records containing medical information are properly associated with an individual patient and/or healthcare provider.

Abstract: A method and system for merging databases containing medical, patient and/or healthcare, information is provided, which may be utilized to merge a source database containing medical information into a new or existing destination database. The method may include the steps of identifying a source database containing medical information, identifying a destination database for the receipt of the medical information from the source database, selecting rules for governing the migration of medical information into the destination database, and migrating the medical information from the source database to the destination database. In one exemplary embodiment, the medical information is a plurality of individual patient's medical records. In another exemplary embodiment, the medical information is a plurality of healthcare provider records.

Abstract: A garment that attaches to the body of a personal recreational vehicle, preferably covers substantially all of the wearer's body, and traps heat generated and lost by the vehicle engine. The garment is preferably large enough to allow the wearer to sit or stand and turn as necessary without restraint. It may also equipped with a zipper in front that allows the wearer to vent heated air or to exit the garment and vehicle without detaching the garment from the vehicle. In the preferred embodiment, the garment is removably attached to a storage container attached to the vehicle behind the driver/wearer. The bottom hem of the garment is attached or anchored to the body of the vehicle in order to better trap heat and to keep the garment in place. The apparatus for attaching the garment to the vehicle preferably is strong enough to remain attached despite high winds and/or high vehicle velocity.