420 JOURNAL OF COSMETIC SCIENCE
Figure 9. (A) Standardized images—such as the Canfield Visia (Canfield Scientific, Parsippany, NJ) image
seen here—do not provide as much information as a questionnaire and therefore are limited as far as providing
a skin type diagnosis. However, they are ideal for tracking changes and making comparisons to baseline
images. They can be used to keep patients engaged and motivated to be compliant with the prescribed skin
care regimen. The percentile represents how “good” the skin is compared to others of the same gender, age,
and skin color. A higher percentage is better and can be read as “Better than X%.” This image is a baseline
image of a BST 15: DRPW. The image shows redness, but skin sensitivity was not detected in the BSTI, so she
was assigned to a resistant skin type rather than a sensitive one. This allows for a more robust skin lightening
routine and demonstrates how the quiz results override photographic findings. (B) Same patient at 4-week
follow-up after using the correct skin care routine for a BST 15: DRPW. She was treated with exfoliants,
tyrosinase inhibitors, barrier repair moisturizers, antioxidants, and a retinoid. Improvement is seen (a higher
percentage) in the wrinkle, UV spot, and brown spot scores.

421 AI-Guided Skin Care
LICENSING THE USE OF THE BSTI SKIN TYPE QUIZ
The patented BSTS, copyrighted BSTI questionnaire, and trademarked BST octagons are
protected and licensed for various uses. The use of the validated online skin type quiz
and e-commerce platform is licensed to dermatologists and medical providers for skincare
retail under a monthly license agreement. When cosmetic chemists and product developers
license the BSTS for use in product development, guidance is provided to ensure proper
formulation of the products to correspond with the targeted demographic and skin type.
Skincare companies who wish to license the octagons for use on product packaging must
have the products go through the STS approval process. Researchers license the use of
the scientific skin care quiz to ensure they use the most current quiz version, correctly
use terminology, and prevent misuse of the scientific system.28 This enables researchers,
cosmetic chemists, skincare brands, medical providers, and skincare consumers to compare
findings and experiences more meaningfully.
CONCLUSION
The BSTS—with its rigorous definitions, product labeling, and efficacious regimen
templates—provides an ideal foundation for AI-driven skin care recommendations. This
diagnostic tool and educational system, backed by decades of research and data, allows
doctors, medical providers, patients, and consumers to create personalized skin care routines
that are both effective and sustainable. As the skincare industry continues to evolve, the
integration of AI and accurate skin type diagnosis will be crucial in delivering custom skin
care solutions that meet individual needs and preferences.
By leveraging the power of AI and the BSTI, it is possible to revolutionize the way skincare
products are designed and marketed, improving skin health and consumer satisfaction.
The kaleidoscope of data, products, and preferences comes together to create a personalized
and scientifically sound skin care routine, changing the way the world shops for skincare
products.
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oiliness. J Cosmet Dermatol Sci Appl. 2014 04(2):78–84. doi:10.4236/jcdsa.2014.42012
(6) Baumann L. 2008, 2012:2019. Cosmetics and skin care in dermatology. Fitzpatrick’s Dermatology in
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