ScanSkinAI Mole Checker Adds Longevity Tracking to Routine Skin Exams
ScanSkinAI runs uploaded dermoscopic images through a convolutional neural network trained on 50,000-plus labeled lesions, then returns a risk score and suggested follow-up interval. The platform logs serial images so the same patient can compare change over months without new hardware. The site markets this as a free entry point to paid teledermatology consults.
You treat skin checks as a longitudinal dataset instead of single snapshots. This changes the workflow from reactive spot checks to scheduled re-scans that flag progression automatically. The reader learns to integrate an AI first pass before escalating to a human clinician.
ScanSkinAI reports over 12,000 monthly scans on its public checker and routes 18 percent of flagged cases to its partner dermatologists for same-week video review.
Step 1: Visit https://www.scanskinai.com/ai-skin-longevity-checker and create a free account. Step 2: Upload a well-lit close-up of the mole or lesion and receive the automated risk score within seconds. Step 3: Save the image to your profile timeline so future uploads generate a delta report comparing size, color, and border changes.