CPC A61B 8/0883 (2013.01) [A61B 8/04 (2013.01); A61B 8/065 (2013.01); A61B 8/14 (2013.01); A61B 8/5223 (2013.01); A61B 8/5246 (2013.01); A61B 8/5292 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/0002 (2013.01); G06T 7/0012 (2013.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30048 (2013.01)] | 30 Claims |
1. A method comprising:
receiving an echocardiographic video of a heart associated with a patient;
providing the echocardiographic video to a trained neural network, the trained neural network being trained to generate a mortality risk score based on input echocardiographic video;
receiving a mortality risk score associated with the patient from the trained neural network; and
outputting the mortality risk score associated with the patient to at least one of a memory or a display for viewing by a medical practitioner or healthcare administrator,
wherein the trained neural network includes at least a first layer and a second layer, the first layer trained to generate, based on input echocardiographic video having first video dimensions, a first layer output having output dimensions that are different from the first video dimensions, and the second layer trained to generate, at least partially based on the first layer output, a mortality risk score.
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