Abstract: Techniques relating to a pipeline for intelligent text annotation of medical reports via artificial intelligence based Natural Language Processing workflows are provided. One or more embodiments described herein can regard a computer-implemented system comprising a memory that can store computer-executable components. The computer-implemented system can comprise a processor, operatively coupled to the memory, that executes the computer-executable components stored in the memory.

Abstract: The present invention is a system and method for 3D engineering drawing extrapolation and automation incorporating Machine Learning (ML). The instant innovation receives a 3D computer model of a part to be manufactured, and automatically breaks the model into labelled surfaces capable of being attributed, assigned and represented by 2D drawings. One or more sub-processes receives data defining attributes of the 2D drawings and performs calculations to pre-determine drill-hole locations on a machine-ready part. The system then determines if there are unintended gaps, interferences, or other irregularities resident thereupon. The system creates a list of any irregularities and returns a punch list to a human user for correction. The system utilizes Amazon Web Services (AWS) to both perform data extracting and flattening of the 3D model and to select optimally-sized machine stock and optimize its orientation in relation to the manufacturing machine head.

Abstract: Apparatus, systems, and methods for imaging protocol management are disclosed and described. An example imaging protocol manager includes an orchestrator, a baseliner, and a protocol application. The example orchestrator is to trigger a pull of a first imaging protocol. The example baseliner is configured to at least: process the first imaging protocol; and evaluate the first imaging protocol in comparison to a second imaging protocol from a protocol library to identify the first imaging protocol as at least one of a matching protocol, a new protocol, or a deviation with respect to the second imaging protocol, the deviation to be identified when the first imaging protocol is a partial match to the second imaging protocol. When the deviation is identified, the example baseliner is configured to remediate the deviation. When the first imaging protocol is identified as new, the example baseliner is to trigger storage of the first imaging protocol.

Abstract: Apparatus, systems, and methods for imaging protocol management are disclosed and described. An example imaging protocol manager includes an orchestrator, a baseliner, and a protocol application. The example orchestrator is to trigger a pull of a first imaging protocol. The example baseliner is configured to at least: process the first imaging protocol; and evaluate the first imaging protocol in comparison to a second imaging protocol from a protocol library to identify the first imaging protocol as at least one of a matching protocol, a new protocol, or a deviation with respect to the second imaging protocol, the deviation to be identified when the first imaging protocol is a partial match to the second imaging protocol. When the deviation is identified, the example baseliner is configured to remediate the deviation. When the first imaging protocol is identified as new, the example baseliner is to trigger storage of the first imaging protocol.