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Related Concept Videos

Pigmentation01:19

Pigmentation

The color of the skin is influenced by a number of pigments, including melanin, carotene, and hemoglobin. Recall that melanin is produced by cells called melanocytes, which are found scattered throughout the stratum basale of the epidermis. The melanin is transferred to the keratinocytes via melanosomes.
Melanin occurs in two primary forms: eumelanin that provides black and brown pigment and pheomelanin that provides red color. Dark-skinned individuals produce more melanin than those with pale...
Changes in Skin Color: Clinical Perspectives01:14

Changes in Skin Color: Clinical Perspectives

The first thing a clinician sees is the skin, so the examination of the skin should be part of any thorough physical examination. Most skin disorders are relatively benign, but a few, including melanomas, can be fatal if untreated. A couple of the more noticeable disorders, albinism and vitiligo, affect the appearance of the skin and its accessory organs.
Albinism
Albinism is a genetic disorder that affects (completely or partially) the coloring of skin, hair, and eyes. The defect is primarily...

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Related Experiment Video

Updated: Jun 23, 2026

Using a 1064-nm Picosecond Neodymium-Doped Yttrium Aluminum Garnet Laser for Periorbital Hyperpigmentation
04:43

Using a 1064-nm Picosecond Neodymium-Doped Yttrium Aluminum Garnet Laser for Periorbital Hyperpigmentation

Published on: May 23, 2025

Predicting Age-Related Facial Hyperpigmentation via Dermatologist Knowledge Elicitation and Generative Modeling.

Edouard Raynaud1,2, Laudine Bertrand3, Frederic Flament3

  • 1Bioclinical Research Center (CRB) of L'Oréal Advanced Research, Saint-Louis Hospital, Paris, France.

Dermatology and Therapy
|June 20, 2026
PubMed
Summary
This summary is machine-generated.

A new AI facial aging simulator accurately predicts hyperpigmentation progression. Consistent sunscreen use significantly reduces the risk of age spots, offering personalized skincare insights.

Keywords:
AIArtificial intelligenceElicitationFacial hyperpigmentationPhotoprotectionPredictive modelSkinSkin agingSolar lentigo

Related Experiment Videos

Last Updated: Jun 23, 2026

Using a 1064-nm Picosecond Neodymium-Doped Yttrium Aluminum Garnet Laser for Periorbital Hyperpigmentation
04:43

Using a 1064-nm Picosecond Neodymium-Doped Yttrium Aluminum Garnet Laser for Periorbital Hyperpigmentation

Published on: May 23, 2025

Area of Science:

  • Dermatology and Artificial Intelligence
  • Computational Biology and Bioinformatics
  • Medical Imaging and Computer Vision

Background:

  • Facial hyperpigmentation is a key indicator of skin aging, particularly in Asian populations.
  • Existing AI aging simulators often lack scientific rigor and dermatological validation.
  • This study addresses the need for a transparent, validated tool for predicting pigmentary changes.

Purpose of the Study:

  • To introduce and validate a novel AI-driven facial aging simulator.
  • To predict pigmentary spot progression based on ultraviolet (UV) exposure and photoprotection.
  • To provide personalized, evidence-based skincare predictions.

Main Methods:

  • A dual-tool framework combining Elicitation Based Aging Simulator (EBAS) and AgingMapGAN (AMGAN).
  • EBAS used a Delphi process with 28 dermatologists and Bayesian belief networks (BBNs).
  • AMGAN generated high-resolution visual predictions, trained on 600 individuals, focusing on cheek pigmentary spot density (DPS).

Main Results:

  • The simulator achieved high accuracy, correlating 0.96 with expert grading.
  • It predicted a 15-year progression of pigmentary spots for a case study.
  • Without sunscreen, a 71.35% chance of significant progression existed; with SPF 50+, it dropped to 39.24%.

Conclusions:

  • This AI framework offers a scientifically validated method for predicting age-related hyperpigmentation.
  • It integrates dermatological expertise for personalized skincare and educational resources.
  • Consistent photoprotection is confirmed to significantly mitigate facial aging, supporting public health prevention strategies.