System and method for lesion analysis and recommendation of screening checkpoints for reduced risk of skin cancer

A system for image analysis, comprising:

• a memory and at least one processor coupled to the memory, wherein the at least one processor is configured to:
• receive one or more current images of a lesion from a body of a person, wherein the one or more current images are electronically captured by and transmitted from a capture device;
• analyze the one or more current images of the lesion, wherein in analyzing, the at least one processor is further configured to:
• perform image processing to compare the one or more current images of the lesion captured at a first time to one or more previous images of the lesion captured at a second time prior to the first time;
• and
• determine at least one difference between the one or more current images and the one or more previous images of the lesion based on the comparing;
• determine a probability that the lesion will become diseased based on the analysis;
• and
• recommend at least one of a time for a future image capture of the lesion and a consultation with a practitioner based on the determined probability.

A computer program product for image analysis, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:

• receiving one or more current images of a lesion from a body of a person, wherein the one or more current images are electronically captured by and transmitted from a capture device;
• analyzing the one or more current images of the lesion, wherein the analyzing comprises:
• performing image processing to compare the one or more current images of the lesion captured at a first time to one or more previous images of the lesion captured at a second time prior to the first time;
• and
• determining at least one difference between the one or more current images and the one or more previous images of the lesion based on the comparing;
• determining a probability that the lesion will become diseased based on the analysis;
• and
• recommending at least one of a time for a future image capture of the lesion and a consultation with a practitioner based on the determined probability.