Artificial intelligence model substantially improves stratum corneum moisture content prediction from visible-light skin images and skin feature factors.

Journal Information

Full Title: Skin Res Technol

Abbreviation: Skin Res Technol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Dermatology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
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Evidence found in paper:

"CONFLICT OF INTEREST STATEMENT Tomoyuki Shishido and Ichiro Iwai are inventors of a patent application for the invention of this AI skin moisture content prediction method."

Evidence found in paper:

"We thank Dr. Gunnar P. H. Dietz for critically reading the manuscript. This work was supported by JST, the establishment of university fellowships towards the creation of science and technology innovation, and Grant Number JPMJFS2112."

Protocol Registration
Open Access
Paper is freely available to read
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Tool: rtransparent

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Last Updated: Aug 05, 2025