Artificial intelligence methods and systems for analyzing imagery
AssigneeKpn Innovations, LLC.
InventorKenneth Neumann
Life of this patent
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Abstract
An artificial intelligence system for analyzing imagery, the system comprising a computing device, the computing device designed and configured to receive a plurality of photographs related to a human subject; analyze the plurality of photographs to identify a conditional indicator contained within the plurality of photographs; generate a classification algorithm utilizing the conditional indicator, wherein the classification algorithm utilizes the conditional indicator as an input and outputs a conditional profile; and determine a conditional status of the human subject utilizing the conditional profile.
Claims18
An artificial intelligence system for analyzing imagery, the system comprising a computing device, the computing device designed and configured to:
- receive a plurality of photographs related to a human subject;
- receive an element of user physiological data;
- analyze the plurality of photographs to identify a conditional indicator contained within the plurality of photographs;
- generate a classification algorithm, wherein the classification algorithm utilizes:
- the conditional indicator and the element of physiological data as inputs, wherein the element of physiological data is classified to a disease state category from a plurality of disease state categories;
- and
- outputs a conditional profile;
- and
- determine a conditional status of the human subject utilizing the conditional profile.
An artificial intelligence method of analyzing imagery, the method comprising:
- receiving by a computing device, a plurality of photographs related to a human subject;
- receiving by the computing device, an element of user physiological data;
- analyzing by the computing device, the plurality of photographs to identify a conditional indicator contained within the plurality of photographs;
- generating by the computing device, a classification algorithm utilizing the conditional indicator, wherein the classification algorithm utilizes the conditional indicator and the element of physiological data as inputs, wherein the element of physiological data is classified to a disease state category from a plurality of disease state categories;
- and
- outputs a conditional profile;
- and
- determining by the computing device, a conditional status of the human subject utilizing the conditional profile.
Dependencies are inferred from the claim text.