| CPC A61N 1/37282 (2013.01) [A61B 5/1101 (2013.01); A61B 5/1114 (2013.01); A61B 5/1118 (2013.01); A61B 5/112 (2013.01); A61B 5/4082 (2013.01); A61B 5/742 (2013.01); A61B 5/7455 (2013.01); A61N 1/36135 (2013.01); A61N 1/37247 (2013.01); A61N 1/37264 (2013.01); G06F 21/6254 (2013.01); G06T 11/00 (2013.01); G06T 19/006 (2013.01); G06V 10/82 (2022.01); G06V 40/25 (2022.01); G16H 20/30 (2018.01); G16H 40/40 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 80/00 (2018.01); H04N 5/272 (2013.01); H04N 7/141 (2013.01); A61N 1/36067 (2013.01); A61N 1/36071 (2013.01); A61N 1/36132 (2013.01); G06T 2210/41 (2013.01)] | 18 Claims |

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1. A method of remotely programming an implantable medical device that provides therapy to a patient, comprising:
establishing a first communication between a patient controller (PC) device and the implantable medical device, wherein the implantable medical device provides therapy to the patient according to one or more programmable parameters, the PC device communicates signals to the implantable medical device to set or modify the one or more programmable parameters, and the PC device comprises a video camera;
establishing a video connection between the PC device and a clinician programmer (CP) device of a clinician for a remote programming session in a second communication that includes an audio/video (A/V) session;
communicating a value for a respective programmable parameter of the medical device from the CP device to the PC device during the remote programming session; and
modifying, by the PC device, the respective programming parameter of the medical device according to the communicated value from the CP device during the remote programming session;
wherein the method further comprises:
obtaining patient context data before the remote programming session that reflects one or more patient conditions or patient activities of the patient prior to initiation of the remote programming session;
applying sensor data or video data obtained, during the remote programming session, augmented by the patient context data to a trained neural network to generate a metric indicative of a patient status;
displaying, via the CP device, a graphical user interface (GUI) display of a patient value related to the generated metric during the remote programming session.
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