Abstract: Processing and transforming data using an artificial intelligence (AI) system is described. A machine-learning-based data profiling tool may be used on first data associated with a first data source and second data associated with a second data source to generate first data profile content identifying first data schema content and second data profile content identifying second data schema content. A schema matching operation may be performed to generate schema matching data identifying a match between a first schema and a second schema. A data transformation operation may be performed to generate transformed data based on converting at least one of the first data or the second data from a source data format to a unified data format.

Abstract: Implementations include obtaining a first dataset associated with a negative operation cycle event type; determining, via a first set of machine learning components, a set of causation identifiers corresponding to the negative operation cycle event; determining, via a machine learning classification component, a set of classifications comprising a classification of each causation identifier of the set of causation identifiers; training a second set of machine learning components to classify negative operation cycle events having the negative operation cycle event type according to the set of classifications; determining, based on a second dataset, an event classification associated with a negative operation cycle event; determining at least one rectification operation parameter associated with a rectification operation corresponding to the negative operation cycle event; and outputting assignment content configured to cause a user interface of a user device to present a user interface element associated with

Abstract: Implementations include obtaining, from a database, a first set of data associated with an entity and generating, by a model generator, a machine learning model based on the first set of data. Implementations may include generating a predictive model by training the machine learning model using at least a portion of the first set of data. The predictive model may be used to determine, based on a second set of data, a predicted metric associated with a revenue cycle corresponding to the entity. Implementations may include outputting prediction data indicative of the predicted metric.

Abstract: A solution for processing data and generating alerts is provided herein. The solution may include receiving data from a set of disparate data sources, performing a transformation operation on the data using a first set of machine learning models to generate structured data for storage in a database in accordance with a unified data schema, and performing an anomaly detection operation on the structured data using a second set of machine learning models to identify an anomaly associated with a transactional workflow. An alert event may be generated based on the anomaly. An alert profile associated with a user device may be determined, and alert data based on the alert event and the alert profile may be outputted. The alert data may be configured to cause a user interface of the user device to present a user interface element associated with the alert event.

Abstract: Processing and transforming data using an artificial intelligence (AI) system is described. A machine-learning-based data profiling tool may be used on first data associated with a first data source and second data associated with a second data source to generate first data profile content identifying first data schema content and second data profile content identifying second data schema content. A schema matching operation may be performed to generate schema matching data identifying a match between a first schema and a second schema. A data transformation operation may be performed to generate transformed data based on converting at least one of the first data or the second data from a source data format to a unified data format.

Abstract: An implantable medical device configured to provide for an intracardiac function comprises a body, a sensor arrangement arranged on the body and configured to receive a cardiac sense signal, and a processing circuitry operatively connected to the sensor arrangement. The processing circuitry is configured to process the cardiac sense signal received using the sensor arrangement to detect a signal deflection in the cardiac sense signal potentially indicative of an atrial event caused by atrial activity, and to start a peak detection window based on the detection of said signal deflection for determining a peak amplitude associated with said atrial event. The peak detection window comprises one or more sub-windows, the processing circuitry being configured to determine a candidate peak value in each sub-window and to set the peak amplitude based on the valid candidate peak values of the one or more consecutive sub-windows.

Abstract: A system is described. The system comprises: a plurality of auxiliary lights positioned at one or more locations of a vehicle; a sensor module configured to generate sensor data; a processor communicatively coupled to the sensor module, and the plurality of auxiliary lights, the processor storing instructions in non-transitory memory. The processor is operable to: receive the sensor data from the sensor module; determine, using an artificial intelligence engine, an anticipated travel route and an anticipated travel path of the vehicle based on the sensor data; correlate a real-time movement along the anticipated travel path with prestored travel path information; predict one or more upcoming dynamic navigational changes along the anticipated travel path based on the correlation; and selectively activate, using the artificial intelligence engine, one or more auxiliary lights to illuminate the anticipated travel path of the vehicle based on the one or more upcoming dynamic navigational changes.

Abstract: A system for active monitoring of a stowed vehicle includes one or more external vehicle environmental sensors supported by the vehicle. The system is configured to process only a first volume of data communicated from a first external environmental sensor in response to a determination of the stowed vehicle. The system is also configured to determine the occurrence of a suspicious event in a vicinity of the stowed vehicle based on the processed first volume of data. Furthermore, the system is configured to process a second volume of data communicated from at least the first external environmental sensor greater than the first volume of data in response to the determination of the suspicious event.

Abstract: A system for targeted vehicle monitoring assistance includes one more external cameras supported relative to a vehicle. The system is configured to determine a position of a suspicious area relative to the vehicle. The suspicious area is associated with a suspicious event in the vicinity of a stowed vehicle and within a wide area environment of the vehicle. The system is further configured to communicate data from the at least one external camera suitable to provide a supplemental view of the suspicious area.

Abstract: A system for supplementing active monitoring of a stowed vehicle includes one more external cameras supported relative to the stowed vehicle. The system is configured to determine a position of a suspicious area associated with a suspicious event relative to the stowed vehicle. The suspicious area includes only a portion of a vicinity of a stowed vehicle. The system is further configured to determine that the external camera(s) does not adequately indicate the suspicious area and receive data from a remote camera suitable to provide a supplemental view of the suspicious area.

Abstract: A system for customization of on-road sound production for a vehicle includes one or more noise generators supported relative to the vehicle and configured to produce a soundscape in an environment of the vehicle. The system further includes memory storing instructions that, when executed by one or more processors, cause the processor(s) to generate the soundscape from a sound file based on an indication of a user-preferred sound file of multiple files, an environmental context surrounding the vehicle, or both. The instructions cause the processor(s) to determine whether an operational status of the vehicle is suitable for on-road operation. The instructions cause the processor(s) to further produce, in response to a determination that the operational status of the vehicle is suitable for on-road operation, the soundscape utilizing the noise generator(s) while the operational status of the vehicle is suitable for on-road operation.

Abstract: Implantable medical device configured to provide for an intra-cardiac pacing includes an electrode arrangement configured to sense a cardiac sense signal and processing circuitry operatively connected to the electrode arrangement. The processing circuitry is configured to start a first timer based on a ventricular sense event; to open an atrial detection window based on a first timer count; to start a second timer based on an atrial sense event; to identify a first timeout based on a comparison of a second timer count and a first pacing delay; to identify a second timeout based on a comparison of the first timer count and a second pacing delay; to identify a third timeout based on a comparison of the first timer count and a basic rate interval; and to trigger a ventricular pace signal based on an identification of at least one of the first, second and third timeouts.

Abstract: Cardiac pacemaker for a patient's heart including a processing unit with a data memory, further including a first detector, and a second detector, a pacing signal generator, which are all electrically connected to the processing unit, wherein the first detector is configured to detect time-dependent electrical signals of the heart, wherein the second detector is configured to detect time-dependent bodily signals of the patient different from the signals detected by the first detector, wherein the first detector and the second detector are configured to transmit the detected and, if applicable, pre-processed signals to the processing unit, wherein the processing unit is configured to process the signals received from the first detector and the signals from the second detector and to detect from the received signals of the first detector intrinsic atrial events, intrinsic ventricular events and pacing events and to determine an actual cardiac rate.

Abstract: A cardiac pacemaker for a patient's heart, for example an ILP which realizes integrated circuit space conservation and simple design that covers many modes of operation even though robust behaviour requires complex dynamic adaptive algorithms. The pacemaker includes a processing unit, a detector and a pacing signal generator, wherein the processing unit, the detector and the pacing signal generator are electrically interconnected, wherein the detector is configured to detect electrical signals of the heart, for example an intracardiac electrogram, and to transmit these signals to the processing unit, wherein the processing unit is configured to perceive an intrinsic ventricular signal and an intrinsic atrial signal from the signals received from the detector, to enable or disable the perception of the intrinsic atrial signal, to produce a ventricular pacing control signal.

Abstract: An intracardiac medical device comprising a processing unit and a detector configured to detect time-dependent electrical signals of the heart including ventricular events, for example an intracardiac electrogram, and to transmit the detected electrical signals to the processing unit, wherein the processing unit is configured to classify a current intrinsic ventricular event of the received electrical signals as a normal sense event or a ventricular extrasystole. The invention is further directed to an operation method of such medical device as well as a computer program product and a computer readable data carrier.

Abstract: Systems and methods are provided for sample processing. A device may be provided, capable of receiving the sample, and performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing multiple assays. The device may comprise one or more modules that may be capable of performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing the steps using a small volume of sample.

Abstract: A data processing system for machine-learning driven data analysis implements obtaining digital healthcare service provider information associated with one or more digital healthcare service providers and query parameters information from a user searching for digital healthcare service providers that may provide digital healthcare services to employees of the user. The system analyzes query parameter information using a first machine learning model to obtain category information. The system analyzes the category information and the digital health service provider information to predict digital healthcare service providers that provide services that the user may be interested in provided to the employees. These predictions are provided to the user as digital healthcare service recommendations.

Abstract: A system includes a high energy laser (HEL) configured to transmit a HEL beam and a beacon illumination laser (BIL) configured to transmit a BIL beam. The system also includes at least one fast steering mirror (FSM) configured to steer the BIL beam to be offset from the HEL beam. The system further includes at least one Coudé path FSM configured to correct for atmospheric jitter of the HEL beam and the BIL beam while maintaining the offset of the BIL beam from the HEL beam.

Abstract: An implantable medical device configured to provide for an intracardiac function comprises a body, a sensor arrangement arranged on the body and configured to receive a cardiac sense signal, and a processing circuitry operatively connected to the sensor arrangement. The processing circuitry is configured to process the cardiac sense signal received using the sensor arrangement to detect a signal deflection in the cardiac sense signal potentially indicative of an atrial event caused by atrial activity, and to start a peak detection window based on the detection of said signal deflection for determining a peak amplitude associated with said atrial event. The peak detection window comprises one or more sub-windows, the processing circuitry being configured to determine a candidate peak value in each sub-window and to set the peak amplitude based on the valid candidate peak values of the one or more consecutive sub-windows.

Abstract: An implantable medical device configured to provide for an intracardiac function comprises a body, a sensor arrangement arranged on the body and configured to receive a cardiac sense signal, and a processing circuitry operatively connected to the sensor arrangement. The processing circuitry is configured to process the cardiac sense signal received using the sensor arrangement to monitor the cardiac sense signal to detect whether a start criterion is fulfilled, wherein the start criterion is fulfilled if at least one signal sample (s(i?3) . . . s(i+3)) of the cardiac sense signal is smaller than a start threshold, and to start an atrial detection window for detecting, within the atrial detection window, a signal deflection of the cardiac sense signal potentially indicative of an atrial event, based on whether the detection criterion is fulfilled.