ARTIFICIAL INTELLIGENCE
CETAPHIL UNVEILS DIGITAL AI SKIN ANALYSIS TOOL TO EMPOWER AND EDUCATE USERS WITH SENSITIVE SKIN
Cetaphil , has announced the launch of its Cetaphil AI Skin Analysis : a comprehensive skin analyser offering personalised skin assessment scores and skincare regimen recommendations in seconds .
With the snap of a selfie , the tool ’ s state-of-the-art technology compares the photo to a robust database of 70,000 diverse skin images to create an inclusive , personalised report revealing skin type , skin concerns and proneness to various skin conditions . Armed with curated insights from eight categories such as acne , redness , hydration , dark spots and wrinkles , consumers can then leverage the results to make more informed skincare decisions .
Delivering personalised skincare experiences with AI technology
The AI skin analysis tool is powered by Perfect Corp ’ s AI Skin Analysis technology and provides a clear , easy-to-follow user experience on the Cetaphil US website .
The innovative skin scanning technology features cutting-edge AI deep learning technology to deliver precise , personalised skin assessments in seconds . The technology is quickly transforming skincare retail by empowering skincare brands like Cetaphil to provide product recommendations tailored to each customer ’ s unique skin concerns .
“ As a leader in sensitive skincare science , we are committed to innovating inclusive , personalised solutions that ease the worries of those with this common skin concern ,” said Silvina Nordenstohl , Head of US at Galderma .
“ We are proud to offer the Cetaphil AI Skin Analysis as a complement to our existing Cetaphil Skincare Finder , further helping consumers select which of our 70-plus product solutions may be right for them and taking the guesswork out of daily skincare for sensitive skin .”
Enhancing the skincare shopping experience with AI technology
Perfect Corp ’ s AI Skin Analysis Technology recently underwent validation testing with Dr Steven R . Feldman , Professor of Dermatology at the Wake Forest School of Medicine . During the study , the technology was confirmed to have a 95 % test-retest reliability rate , delivering consistent , highly accurate skin assessments with each scan . With this powerful technology , consumers can better understand their skin concerns as well as the products needed to address them .
“ AI skin tech can be a fantastic tool and a useful first step in gaining an understanding of one ’ s personal skincare needs ,” added Feldman .
“ Bringing digital skin analysis results to a dermatologist appointment allows patients to have a more meaningful visit and productive conversation .” �
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