Systems And Methods Of Providing Deep Learning Based Neurocognitive Impairment Evaluation Using Extended Reality

Systems and methods of deep-learning neurocognitive impairment evaluation using extended reality. One system includes an electronic processor configured to generate an extended reality user environment (“XR-UX”) for display via a user device, the XR-UX including a first augmented object configured to change position within the XR-UX and a second augmented object configured to dynamically change position within the XR-UX based on a position of the user device. The electronic processor is also configured to control the first augmented object to traverse a path within the XR-UX. The electronic processor is also configured to receive motion data describing movement of the user device. The electronic processor is also configured to determine a medical classification based on the physical movement of the user device in relation to the path. The electronic processor is also configured to generate and transmit an assessment report for display, the assessment report including the medical classification.