Abstract: A system includes a platform configured to receive a video recording of a flight path of an object and initiate back-end processing of the video recording. The back-end processing may include data modeling, object detection operations, normalizing operations, adjusting normalize data based on meta_camera specifications to compensate for limitations of the user device used to create the video recording, and applying mathematical techniques to the adjusted data to derive metrics relating to the flight path of the object and to generate an enhanced video clip of the flight path. In an embodiment, the back-end processing may further include generating a trace line of the flight path of the object, adding the trace line to the enhanced video clip, transmitting the enhanced video clip and the metrics to the user device, and storing the enhanced video clip and the metrics in back-end storage.

Abstract: A system includes a platform configured to receive a video recording of a flight path of an object and initiate back-end processing of the video recording. The back-end processing may include data modeling, object detection operations, normalizing operations, adjusting normalize data based on meta_camera specifications to compensate for limitations of the user device used to create the video recording, and applying mathematical techniques to the adjusted data to derive metrics relating to the flight path of the object and to generate an enhanced video clip of the flight path. In an embodiment, the back-end processing may further include generating a trace line of the flight path of the object, adding the trace line to the enhanced video clip, transmitting the enhanced video clip and the metrics to the user device, and storing the enhanced video clip and the metrics in back-end storage.

Abstract: A system includes a platform configured to receive a video recording of a flight path of an object and initiate back-end processing of the video recording. The back-end processing may include data modeling, object detection operations, normalizing operations, adjusting normalize data based on meta_camera specifications to compensate for limitations of the user device used to create the video recording, and applying mathematical techniques to the adjusted data to derive metrics relating to the flight path of the object and to generate an enhanced video clip of the flight path. In an embodiment, the back-end processing may further include generating a trace line of the flight path of the object, adding the trace line to the enhanced video clip, transmitting the enhanced video clip and the metrics to the user device, and storing the enhanced video clip and the metrics in back-end storage.

Abstract: Described herein are systems and methods for using artificial intelligence (AI) in real-time to assess the difficulty level of a patient being scanned and assigning an objective scanning difficulty level (SDL) to the patient to help inform medical personnel and educators of the difficulty of scanning said patient.

Abstract: The subject matter disclosed herein is generally directed to methods and systems for generating, projecting, and displaying a patient's disease state based on the patient's medical images wherein the projected disease state can be compared to the patient's present state of health to provide data and material for patient education, healthcare provider education, clinical practice, and medical research.

Abstract: A portable device for receiving pulmonary function test data and displaying and analyzing same with both real-time and recorded patient clinical data such as that obtained with ultrasound and/or an electronic stethoscope.