AI-guided light analysis could help assess skin cancer and reduce unnecessary biopsies

Skin cancer is the most common cancer in the United States and among the most common worldwide. Nearly 1.5 million new cases were diagnosed globally in 2024, including nearly 340,000 melanomas. Nonmelanoma skin cancers—primarily basal cell carcinoma (BCC) and squamous cell carcinoma (SCC)—are even more common, with 5.4 million cases diagnosed annually in the U.S.

Early detection is critical. However, distinguishing cancerous lesions from benign and precancerous growths can be challenging because many can look similar. A biopsy followed by microscopic examination of tissue remains the gold standard for diagnosis, but biopsies are invasive, costly and can sometimes be performed on lesions that ultimately prove to be benign.

There is a need for rapid, noninvasive diagnostic tools that can accurately identify skin cancer while potentially reducing unnecessary biopsies.

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