Abstract: Systems, devices, and methods for automated approval of claim requests for solicited procedures. In an embodiment, a system includes an audit manager and an attention-based neural network. A computer-readable memory stores tuning parameters and a set of risk level thresholds. A database is configured to store training data including fixed length and variable length data. Fixed length data includes features and a target label. Variable length data includes medical procedure code approval history data. Validation data and operation data may also be stored in the database. The audit manager is configured to output an approval indication and rejection probability score for each solicited procedure according to a selected risk level threshold in the set of risk level thresholds. In one feature, an attention-based neural network is trained according to features and target label in the fixed length data and medical procedure code approval history data in the variable length data.

Abstract: A method and system is provided for using backscattered data and known parameters to characterize vascular tissue. Specifically, methods and devices for identifying information about the imaging element used to gather the backscattered data are provided in order to permit an operation console having a plurality of Virtual Histology classification trees to select the appropriate VH classification tree for analyzing data gathered using that imaging element. In order to select the appropriate VH database for analyzing data from a specific imaging catheter, it is advantageous to know information regarding the function and performance of the catheter, such as the operating frequency of the catheter and whether it is a rotational or phased-array catheter. The present invention provides a device and method for storing this information on the imaging catheter and communicating the information to the operation console.

Abstract: A method and system is provided for using backscattered data and known parameters to characterize vascular tissue. Specifically, methods and devices for identifying information about the imaging element used to gather the backscattered data are provided in order to permit an operation console having a plurality of Virtual Histology classification trees to select the appropriate VH classification tree for analyzing data gathered using that imaging element. In order to select the appropriate VH database for analyzing data from a specific imaging catheter, it is advantageous to know information regarding the function and performance of the catheter, such as the operating frequency of the catheter and whether it is a rotational or phased-array catheter. The present invention provides a device and method for storing this information on the imaging catheter and communicating the information to the operation console.