Local Physicians Adopt AI-Assisted Diagnostics for Skin Cancer Screening

A growing number of dermatologists in Palm Beach County are incorporating artificial intelligence tools into their skin cancer screening workflows, using algorithms that analyze dermoscopic images to flag suspicious lesions for closer examination. The technology, while not replacing physician judgment, is helping clinics process more patients and catch melanomas at earlier stages.

Dr. Michelle Park, who practices in Boca Raton, began using an FDA-cleared AI diagnostic aid in her practice six months ago. "The AI doesn't make the diagnosis. I do," she clarified. "But it's like having an extremely attentive second pair of eyes that never gets fatigued. It flags patterns that even experienced dermatologists might overlook during a busy clinic day."

How It Works

The systems use deep learning algorithms trained on millions of dermoscopic images to assess features like asymmetry, border irregularity, color variation, and structural patterns. When the AI identifies a lesion with a high probability of malignancy, it alerts the physician, who then makes the clinical decision about biopsy.

Early data from practices using these tools shows a measurable increase in early-stage melanoma detection. A pilot program at a South Florida dermatology group found that AI-assisted screening identified 12 percent more early-stage melanomas compared to traditional visual inspection alone.

Florida's Skin Cancer Burden

The technology is particularly relevant in Palm Beach County, where high UV exposure and an older demographic create elevated skin cancer risk. Florida consistently ranks among the top states for melanoma incidence, and Palm Beach County's rates exceed the state average.

Residents should continue to perform monthly self-examinations and schedule annual full-body skin checks with a board-certified dermatologist, regardless of whether their provider uses AI-assisted tools.