Artificial intelligence for evaluating patient distress using facial emotion recognition

A system comprising:

• at least one hardware processor;
• and
• one or more software modules that are configured to, when executed by the at least one hardware processor, for one or more persons,
• receive one or more facial images of the person, wherein each of the one or more facial images includes a face of the person,
• for each of the one or more facial images, apply an artificial-intelligence model to the facial image to classify the facial image into one of a plurality of emotional states based on a facial expression in the facial image,
• determine whether or not to alert one or more recipients based on each emotional state into which each of the one or more facial images were classified, and,
• when determining to alert the one or more recipients, transmit a notification to each of the one or more recipients.

A non-transitory computer-readable medium having instructions stored therein, wherein the instructions, when executed by a processor, cause the processor to, for one or more persons:

• receive one or more facial images of the person, wherein each of the one or more facial images includes a face of the person;
• for each of the one or more facial images, apply an artificial-intelligence model to the facial image to classify the facial image into one of a plurality of emotional states based on a facial expression in the facial image;
• determine whether or not to alert one or more recipients based on each emotional state into which each of the one or more facial images were classified;
• and,
• when determining to alert the one or more recipients, transmit a notification to each of the one or more recipients.