Abstract: Systems, apparatus, instructions, and methods for enterprise reading with search and streaming of information from local and remote sources are disclosed. An example apparatus includes a viewer to generate a request for patient content and to display at least a subset of the patient content according to a hanging protocol. The example apparatus includes a search service to query a plurality of sources for the patient content based on a patient identifier. The example query is to return meta data to generate at least one token encapsulating a location of identified patient content and an indication of access to the identified patient content. The example apparatus includes a streaming service to obtain the identified patient content using the at least one token and to provide the identified patient content to the viewer for display.

Abstract: Techniques for orchestrating execution of algorithms on medical images according to pre-defined workflows and techniques for managing workflow and model execution are provided. In an embodiment, a system comprises a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory.

Abstract: Techniques for orchestrating execution of algorithms on medical images according to pre-defined workflows and techniques for managing workflow and model execution are provided. In an embodiment, a system comprises a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory.

Abstract: Systems and methods are provided for integrating artificial intelligence (AI) workflows. In one example, a method includes receiving, from a medical image storage device, an instance availability notification, in response to determining that the notification indicates that one or more medical images have been saved at the medical image storage device, querying the medical image storage device to retrieve metadata associated with the one or more medical images, initiating a work-item with an AI orchestration platform for the metadata, and receiving, from the AI orchestration platform via the work-item, AI results related to the one or more medical images.

Abstract: Systems and methods for expediting medical image retrieval based on examination priority are provided. A method includes receiving medical images and parsing the contents to determine medical image information. The method includes applying priority rules based on the medical image information. The priority rules specify an image storage location for storing the medical images. The image storage locations include workstation cache memory and drives of a local storage system having different image access speeds that are slower than an access speed of the workstation cache memory. The method includes storing the medical images at the specified image storage location as defined by the priority rules and retrieving the medical images from the specified image storage location in response to a request to view the medical images at a workstation. The method includes presenting the medical images retrieved from the specified image storage location at a display device of the workstation.

Abstract: Systems and methods are provided for integrating artificial intelligence (AI) workflows. In one example, a method includes receiving, from a medical image storage device, an instance availability notification, in response to determining that the notification indicates that one or more medical images have been saved at the medical image storage device, querying the medical image storage device to retrieve metadata associated with the one or more medical images, initiating a work-item with an AI orchestration platform for the metadata, and receiving, from the AI orchestration platform via the work-item, AI results related to the one or more medical images.

Abstract: Systems and methods for expediting medical image retrieval based on examination priority are provided. A method includes receiving medical images and parsing the contents to determine medical image information. The method includes applying priority rules based on the medical image information. The priority rules specify an image storage location for storing the medical images. The image storage locations include workstation cache memory and drives of a local storage system having different image access speeds that are slower than an access speed of the workstation cache memory. The method includes storing the medical images at the specified image storage location as defined by the priority rules and retrieving the medical images from the specified image storage location in response to a request to view the medical images at a workstation. The method includes presenting the medical images retrieved from the specified image storage location at a display device of the workstation.

Abstract: A system and method for selecting and applying tag morphing rules and/or correcting malformed DICOM files is provided. The method includes receiving and parsing, by a processor of a medical imaging system, a medical image to determine an originating vendor. The method includes selecting and retrieving, from a central rules repository, a tag morphing rule based on the originating and destination vendors. The central rules repository is communicatively coupled to processors of multiple medical imaging systems including the processor of the medical imaging system and stores tag morphing rules accessible to each of the processors of the medical imaging systems. The method includes applying the tag morphing rule selected and retrieved from the central rules repository to morph a tag of the medical image to be compatible with the destination vendor. The method includes providing the medical image having the morphed tag to the destination vendor for storage and/or display.

Abstract: Techniques for orchestrating execution of algorithms on medical images according to pre-defined workflows and techniques for managing workflow and model execution are provided. In an embodiment, a system comprises a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory.

Abstract: Techniques for orchestrating execution of algorithms on medical images according to pre-defined workflows and techniques for managing workflow and model execution are provided. In an embodiment, a system comprises a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory.

Abstract: Systems, apparatus, instructions, and methods for enterprise reading with search and streaming of information from local and remote sources are disclosed. An example apparatus includes a viewer to generate a request for patient content and to display at least a subset of the patient content according to a hanging protocol. The example apparatus includes a search service to query a plurality of sources for the patient content based on a patient identifier. The example query is to return meta data to generate at least one token encapsulating a location of identified patient content and an indication of access to the identified patient content. The example apparatus includes a streaming service to obtain the identified patient content using the at least one token and to provide the identified patient content to the viewer for display.