CPC A61B 5/201 (2013.01) [A61B 5/02108 (2013.01); A61B 5/6824 (2013.01); A61B 5/7267 (2013.01); G06N 3/08 (2013.01); A61B 5/02007 (2013.01); G16H 10/60 (2018.01); G16H 50/30 (2018.01)] | 29 Claims |
1. A system comprising:
a memory configured to store a deep learning model, the deep learning model trained to represent a relationship of pulse information and patient metrics to renal denervation efficacy in reducing hypertension; and
processing circuitry configured to:
obtain pulse information representative of pulses from one or more wrists of a patient;
obtain a plurality of values representative of respective patient metrics for the patient;
apply the pulse information and the plurality of values to the deep learning model from the memory;
responsive to applying the pulse information and the plurality of values to the deep learning model, obtain, from the deep learning model, a score indicative of renal denervation efficacy in reducing hypertension for the patient; and
generate a graphical user interface comprising a graphical representation of the score for the patient.
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