| CPC G06N 3/0464 (2023.01) [A61B 5/349 (2021.01); A61B 8/0883 (2013.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01)] | 16 Claims |

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1. An apparatus for artificial intelligence-supported diagnostic assessment, wherein the apparatus comprises: a sensor for sensing a time series input;
at least a processor, wherein the processor is configured to:
receive a plurality of multi-channel sensor readings of physiological data;
generate training data correlating each of the plurality of multi-channel sensor readings with a plurality of diagnostic labels;
train a neural network using the plurality of diagnostic labels;
update the training data as a function of new training examples;
retrain the neural network as a function of the updated training data, wherein the retraining occurs when a preconfigured threshold of new training examples is exceeded;
receive the time series input describing user physiological data from at least the sensor;
input the time series input into the trained neural network;
generate diagnostic data as a function of the time series input and the trained neural network, wherein the diagnostic data includes a classification under a plurality of groups, wherein the groups are comprised of:
normal LV function;
LVSD only;
LVDD only; and
both LVSD and LVDD;
determine prognostic data as a function of the diagnostic data; and
output the prognostic data; and a display device, wherein the output of the prognostic data is displayed on the display device.
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