Background: Appropriate skin treatment and care warrants an accurate prediction of skin moisture. However, current diagnostic tools are costly and time-consuming. Stratum corneum moisture content has been measured with moisture content meters or from a near-infrared image.

Objective: Here, we establish an artificial intelligence (AI) alternative for conventional skin moisture content measurements.

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