PRIMARY OBJECTIVE:~I. To assess whether having access to at-home dermoscopy with mole scanning artificial intelligence increases skin self-screening engagement~SECONDARY OBJECTIVES:~I. To assess whether having access to at-home dermoscopy with mole scanning artificial intelligence improves triage of suspicious skin lesions II. To assess whether having access to at-home dermoscopy with mole scanning artificial intelligence improves identification of suspicious skin lesions III. To assess whether having access to at-home dermoscopy with mole scanning artificial intelligence leads to earlier detection of suspicious skin lesions IV. To assess whether having access to at-home dermoscopy with mole scanning artificial intelligence improves detection of thin melanomas~OUTLINE: Patients are randomized in 1 of 2 groups.~GROUP I: Patients perform self-skin exams using naked-eye criteria and smartphone dermatoscope at home for 6 months.~GROUP II: Patients perform self-skin exams using naked-eye criteria at home for 6 months.
This clinical trial is to find out whether having access to an at-home smartphone dermatoscope (medical grade device) improves a patient's ability to find concerning moles themselves at-home with artificial intelligence unlimited mole scanning. Traditionally, patients were only able to identify moles that may be suspicious for cancer based off current ABCD guidelines, however these guidelines are still limited to what the patient can easily see with the naked-eye. Using the current ABCD guidelines, patients may still miss skin cancers that are still in its early stages. New devices may allow patients to look at their moles microscopically with their smartphones. The moles can then be scanned by artificial intelligence that will inform the patient whether or not the mole is suspicious. New technology development may help explore ways patients can use these new tools to be more involved in their skin health, especially for those in high-risk populations and limited access to see a dermatologist.