Recent advances in computer vision allow a smartphone camera to perform dermatological assessments faster than a 40-year routine. By using convolutional neural networks trained on large dermoscopic datasets, the device can segment lesions, quantify texture, and estimate pigment distribution in real time. The workflow reduces the need for in-person visits, cuts costs associated with lab-based testing, and eliminates the guesswork that comes with manual skin-care decisions. In effect, AI turns the phone into a personal dermatologist, saving users time, money, and guesswork.
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