Artificial Intelligence Predicts Fitzpatrick Skin Type, Pigmentation, Redness, and Wrinkle Severity From Color Photographs of the Face.

Journal: Journal of cosmetic dermatology

PMID: 40135957

Abstract

BACKGROUND: Due to high patient demand, increasing numbers of non-dermatologists are performing skin assessments and carrying out laser interventions in medical spas, leading to inferior outcomes and higher complications. A machine learning tool that automatically analyzes patient skin has the potential to aid non-dermatologists.

Authors

Rachel L Draelos

Vismedica AI, LLC, Durham, North Carolina, USA.
Chelsea E Kesty

St. Petersburg Skin and Laser, St. Petersburg, Florida, USA.
Katarina R Kesty

St. Petersburg Skin and Laser, St. Petersburg, Florida, USA.

Keywords

Adult Artificial Intelligence Erythema Face Female Humans Hyperpigmentation Machine Learning Male Middle Aged Neural Networks, Computer Photography Severity of Illness Index Skin Skin Aging Skin Pigmentation

External Resources

View on PubMed Access via DOI PubMed (40135957)

Artificial Intelligence Predicts Fitzpatrick Skin Type, Pigmentation, Redness, and Wrinkle Severity From Color Photographs of the Face.

Abstract

Authors

Keywords

External Resources

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