Health condition detection and monitoring using artificial intelligence

A computer system for detecting and monitoring a health condition accompanied by an injury site, comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• receiving, by one or more processors, an identifier associated with a patient and an associated first image, the first image corresponding to an injury in the injury site in the patient's body;
• analyzing, by the one or more processors, the associated first image using a machine learning model comprising an inference engine and a knowledge base, the machine learning model compares the associated first image against a patient data history and a tracking database;
• in response to a determination the injury site is associated with the health condition, generating, by the one or more processors, a first result including sending a report containing the first result to a healthcare professional caring for the patient;
• and
• displaying, by the one or more processors, the first result informing the patient and healthcare professional the injury site needs special care including requiring an appointment.

A computer program product for a health condition accompanied by an injury site, comprising:

• one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions comprising:
• program instructions to receive, by one or more processors, an identifier associated with a patient and an associated first image, the first image corresponding to an injury in the injury site in the patient's body;
• program instructions to analyze, by the one or more processors, the associated first image using a machine learning model comprising an inference engine and a knowledge base, the machine learning model compares the associated first image against a patient data history and a tracking database;
• in response to a determination the injury site is associated with the health condition, program instructions to generate, by the one or more processors, a first result including sending a report containing the first result to a healthcare professional caring for the patient;
• and
• program instructions to display, by the one or more processors, the first result informing the patient and healthcare professional the injury site needs special care including requiring an appointment.