AI mole mapping extends skin-longevity tracking beyond annual visits
ScanSkinAI runs a convolutional neural network on user-uploaded images to score lesion risk and generate a longevity index. The platform stores sequential scans, flags changes over time, and routes high-risk cases to dermatologists. The site claims sub-second inference and stores encrypted records for longitudinal comparison.
Patients move from reactive spot checks to continuous monitoring that surfaces trends months earlier than scheduled exams. The workflow integrates consumer photos with specialist review without requiring an office visit each cycle.
ScanSkinAI processes several thousand scans per month and reports a 22 percent increase in early-stage detections among users who upload images quarterly.
Step 1: Visit https://www.scanskinai.com/ai-skin-longevity-checker and create a free account. Step 2: Upload a well-lit photo of the area you wish to track and wait for the AI risk score. Step 3: Save the report, then repeat the upload in 90 days; compare the two longevity indices inside the dashboard to quantify change.