Daily Cosmetic Research Analysis
Three studies advance cosmetic and dermatologic practice from complementary angles: an AI model sharply improves the consistency of patch test erythema grading; a randomized pediatric study shows fast-absorbing collagen sutures ease caregiver psychological burden without worsening scars; and a large cross-sectional analysis links smoking, e-cigarette, and hookah use to poorer perceived skin quality and greater use of minimally invasive cosmetic procedures.
Summary
Three studies advance cosmetic and dermatologic practice from complementary angles: an AI model sharply improves the consistency of patch test erythema grading; a randomized pediatric study shows fast-absorbing collagen sutures ease caregiver psychological burden without worsening scars; and a large cross-sectional analysis links smoking, e-cigarette, and hookah use to poorer perceived skin quality and greater use of minimally invasive cosmetic procedures.
Research Themes
- AI-assisted dermatologic diagnostics
- Suture material choice and caregiver well-being in pediatric facial repair
- Tobacco products and perceived skin quality in cosmetic contexts
Selected Articles
1. Evaluation of Artificial Intelligence-Assisted Diagnosis of Skin Erythema in a Patch Test.
Using 83,629 labeled images for training and dedicated evaluation/validation sets, a YOLOv5x-based model classified patch test erythema with 0.983 accuracy and 0.982 F1 at 24–48 hours. Class-specific AUCs (0: 0.914; 1: 0.838; 2: 0.865) and near-perfect sensitivity for score 0 (0.997) indicate robust performance that can reduce inter-expert variability.
Impact: Provides a scalable, objective tool for patch test interpretation across substances including cosmetics, potentially standardizing dermatologic assessment and workflow.
Clinical Implications: AI-assisted scoring could standardize patch test interpretation, expedite clinic throughput, and support training by reducing inter-rater variability in erythema grading.
Key Findings
- YOLOv5x model trained on 83,629 data points achieved 0.983 overall accuracy and 0.982 F1 at 24–48 hours.
- Class-wise AUCs for scores 0, 1, and 2 were 0.914, 0.838, and 0.865, respectively.
- Sensitivity for score 0 reached 0.997, indicating excellent ability to identify non-irritated sites.
- Standardized imaging with marked test sites enabled reliable object detection and classification.
Methodological Strengths
- Large, labeled dataset with separate evaluation and validation cohorts.
- Objective, consistent scoring framework and clear performance metrics (accuracy, F1, AUC, sensitivity).
Limitations
- Ground truth derived from a single expert may introduce labeling bias.
- Generalizability across imaging devices, skin tones, and clinical settings was not detailed.
Future Directions: Prospective multicenter validation with multi-expert consensus labeling and integration into clinical workflows; expansion to additional patch test reaction morphologies.
BACKGROUND: The patch test evaluates skin erythema, infiltration, papules and vesicles following exposure to various substances, including metals, cosmetics and medicines. Accurate evaluation of these conditions requires consistent skin score assessments, precise visual grading and minimal inter-expert variability. OBJECTIVES: This study aimed to develop a skin irritation artificial intelligence model based on the YOLOv5x object detection framework to automatically detect skin irritation from the patch test images for multiple test substances. METHODS: Patch test images were collected with test sites marked to enable the YOLOv5x algorithm to locate the samples. An expert assigned a score to each sample (0-4) for training and validation. The model was trained using 83 629 data points. Evaluation and validation were performed with 1312 and 1536 data points, respectively. RESULTS: The model achieved an overall accuracy of 0.983 at both 24 and 48 h, with an F1 score (harmonic mean of recall and precision) of 0.982. The areas under the curve (AUCs) for scores 0, 1 and 2 were 0.914, 0.838 and 0.865, respectively. The sensitivity for a score of 0 was 0.997. CONCLUSION: These findings suggest that this AI model effectively supports and classifies skin irritation, thereby facilitating faster and more accurate dermatological evaluations.
2. Prioritizing psychological relief: fast-absorbing collagen sutures improve parental well-being in pediatric facial trauma care.
In a randomized comparison of 120 primary caregivers of children with facial trauma, fast-absorbing collagen sutures reduced parental anxiety/depression and improved quality of life without worsening scar outcomes versus nylon. Non-removal simplified postoperative care, emphasizing caregiver-centered considerations when selecting suture materials for cosmetically sensitive repairs.
Impact: Introduces caregiver-reported outcomes into suture selection for pediatric facial repairs, showing psychological benefits without cosmetic trade-offs in a randomized design.
Clinical Implications: Fast-absorbing collagen sutures can be considered for pediatric facial lacerations to reduce caregiver burden and avoid suture removal, with comparable scar outcomes to nylon.
Key Findings
- Randomized allocation of 120 primary caregivers (January–October 2024) to compare suture materials.
- Fast-absorbing collagen sutures significantly improved parental SAS/SDS and GQOLI-74 scores versus nylon.
- Scar outcomes were not compromised with collagen sutures despite focus on cosmetic regions.
- Non-removal protocol simplified postoperative care and daily wound management.
Methodological Strengths
- Randomized design focusing on both psychological and cosmetic outcomes.
- Use of validated scales (SAS, SDS, GQOLI-74) to quantify caregiver well-being.
Limitations
- Details on allocation concealment, blinding, and exact follow-up intervals are not provided in the abstract.
- Outcome assessment for scars and potential assessor blinding are not fully described.
Future Directions: Confirm findings in multicenter RCTs with standardized scar scales and longer-term cosmetic and psychosocial follow-up; assess cost-effectiveness and pediatric patient-reported outcomes.
OBJECTIVE: To assess the psychological status and quality of life improvements in parents of children undergoing facial trauma repair emphasizing cosmetic outcomes with fast-absorbing collagen sutures, and to compare these outcomes with those in parents of children repaired with nylon sutures. A secondary objective was to compare scar outcomes between the two suture materials. METHODS: From January 2024 to October 2024, 120 primary caregivers (defined as the parent providing ≥80% of daily wound care) of pediatric facial trauma patients were randomized into an observation group ( RESULTS: Baseline SAS/SDS scores and GQOLI-74 domain scores showed no intergroup differences ( CONCLUSION: Fast-absorbing collagen sutures significantly alleviate parental anxiety/depression and improve family quality of life without compromising scar outcomes compared to nylon sutures. The non-removal protocol simplifies postoperative care, highlighting the importance of integrating caregiver psychological well-being into suture material selection.
3. The effect of smoking and other tobacco product use on perceptions of skin quality and health, approaches to skin care, and minimally invasive cosmetic procedures: A cross-sectional study.
Among 679 adults, current smoking, e-cigarette, and hookah use were each associated with poorer self-evaluated skin quality, with dose–response patterns by smoking duration and daily cigarette count. Current smokers more often sought neurotoxin injections and mesotherapy, linking tobacco use to both perceived skin aging and cosmetic intervention behavior.
Impact: Provides contemporary evidence spanning combustible and alternative tobacco products, directly informing counseling in cosmetic dermatology about modifiable risk factors and procedure expectations.
Clinical Implications: Integrate tobacco use (including e-cigarette and hookah) screening into cosmetic consultations; counsel on skin aging risks and set realistic expectations for minimally invasive procedures.
Key Findings
- Sample included 679 adults (286 men, 393 women) in a 2024 cross-sectional study.
- Current smokers had worse perceived skin with more wrinkles, spots, and pigmentation (p<0.001).
- E-cigarette use associated with poorer skin across multiple facial and neck/back regions (p=0.007–0.034).
- Hookah use linked to worse skin and more back spots (p=0.004, 0.009).
- Dose–response: skin quality declined with longer smoking duration and higher daily cigarette count (p=0.00).
- Current smokers more frequently received neurotoxin injections and mesotherapy (p=0.006, 0.026).
Methodological Strengths
- Relatively large sample with inclusion of alternative tobacco products (e-cigarettes, hookah).
- Use of validated self-administered questionnaire and appropriate statistical tests.
Limitations
- Cross-sectional design precludes causal inference and may be subject to residual confounding.
- Self-reported skin quality and behaviors can introduce reporting bias.
Future Directions: Prospective cohorts to quantify longitudinal skin changes with cessation and reduction; objective dermatologic measures (e.g., imaging, biomechanical assessments) to complement self-report.
INTRODUCTION: It is well-established that smoking adversely affects the skin. This study aimed to compare skin properties, skin care product usage patterns, and the status of minimally invasive cosmetic procedures and self-evaluated skin quality in active smokers, ex-smokers, and non-smokers. METHODS: This cross-sectional study was conducted in Department of Dermatology, Faculty of Medicine, Ordu University, Türkiye in 2024, with participants aged 18-65 years. Data were collected through a validated self-administered questionnaire. Categorical data were analyzed using chi-squared or Fisher's exact tests. Intergroup differences were examined using one-way analysis of variance with RESULTS: The study included 286 men and 393 women. Active smokers had worse skin quality, with more wrinkles, spots, and pigmentation (p<0.001). E-cigarette users showed poorer skin in the forehead, around the eyes, mustache, mouth, neck, and back (p=0.007-0.034). Hookah use was linked to worse skin and more spots on the back (p=0.004 and 0.009). Average skin quality scores were 25.47 for active smokers, 27.35 for ex-smokers, and 32.1 for non-smokers. Skin quality declined as smoking duration and daily cigarette count increased (p=0.00). Active smokers more frequently received neurotoxin injections and mesotherapy for skin spots (p=0.006 and 0.026). CONCLUSIONS: This study confirms the detrimental effects of smoking - including e-cigarette and hookah use - on skin. These findings may serve as motivation for smoking cessation efforts.