Daily Cosmetic Research Analysis
Three impactful studies span core cosmetic and aesthetic surgery domains: a PRISMA-compliant systematic review suggests lasers and energy-based devices may attenuate cellular senescence, an AI evaluation study shows ChatGPT can draft but not replace dermatologist-reviewed consent forms for energy-based procedures, and a neurosurgical case series introduces an L-shaped zygotomy that improves skull-base exposure while preserving long-term cosmetic outcomes.
Summary
Three impactful studies span core cosmetic and aesthetic surgery domains: a PRISMA-compliant systematic review suggests lasers and energy-based devices may attenuate cellular senescence, an AI evaluation study shows ChatGPT can draft but not replace dermatologist-reviewed consent forms for energy-based procedures, and a neurosurgical case series introduces an L-shaped zygotomy that improves skull-base exposure while preserving long-term cosmetic outcomes.
Research Themes
- Energy-based devices and cellular senescence in skin rejuvenation
- AI-assisted informed consent in cosmetic dermatology
- Surgical technique innovation with validated cosmetic outcomes
Selected Articles
1. The Impact of Lasers and Energy-Based Devices on Cellular Senescence: A Systematic Review.
This PRISMA-compliant systematic review identified 23 studies showing that lasers and other energy-based devices generally reduce markers of cellular senescence and improve age-related skin changes, suggesting a hormesis-based rejuvenation mechanism. Evidence remains limited but converges on restored cellular signaling and reduced neocarcinogenesis.
Impact: Links clinical rejuvenation outcomes to cellular senescence biology, offering a mechanistic rationale that may unify effects across diverse devices and guide future geroscience-informed protocols.
Clinical Implications: Supports the hypothesis that EBD treatments may modulate senescence pathways; encourages biomarker-informed treatment planning and trials assessing senescence endpoints alongside clinical outcomes.
Key Findings
- PRISMA-based review identified 23 original studies on lasers/EBDs and cellular senescence.
- Across lasers, light-based, and other EBDs, most reports showed reductions in senescence markers with clinical improvement of age-related changes.
- Authors propose hormesis as a convergent mechanism restoring signaling and reducing neocarcinogenesis, while highlighting the scarcity of rigorous data.
Methodological Strengths
- PRISMA-guided systematic search across multiple databases (PubMed, EBSCO, Web of Science).
- Cross-modality synthesis spanning lasers, radiofrequency, ultrasound, photobiomodulation, PDT, and IPL.
Limitations
- Limited number of mechanistic human studies and heterogeneity in senescence endpoints.
- No quantitative meta-analysis due to variability in devices, protocols, and biomarkers.
Future Directions: Prospective trials incorporating standardized senescence biomarkers, dose–response mapping for hormesis, and head-to-head device comparisons to define mechanistic and clinical correlates.
OBJECTIVES: Cellular senescence contributes to skin aging. Lasers and energy-based devices (EBDs) are used to treat age-related skin changes. Given the clinical improvement seen with these devices, we sought to systematically review whether current evidence supports an impact on cellular senescence. METHODS: A systematic literature review was conducted according to PRISMA guidelines. PubMed, EBSCO, and Web of Science databases were searched for relevant articles examining the effects of lasers and EBDs on cellular senescence. Devices included lasers, radiofrequency, ultrasound, photobiomodulation, photodynamic therapy, and intense pulsed light. RESULTS: A total of 23 articles presented original work, relevant to dermatology, evaluating the impact of these treatments at a cellular level. These comprised laser (n = 6), light-based (n = 11), and other EBDs (n = 6). Overall, these technologies demonstrated a positive effect on cellular senescence and clinically minimized neocarcinogenesis and improved age-related skin changes. CONCLUSIONS: Literature evaluating the impact of lasers and EBDs on cellular senescence is scarce. This review suggests that these modalities may reduce cellular senescence, thereby restoring cellular signaling and rejuvenating the skin. We propose that these effects represent a converging fundamental mechanism of hormesis promoting skin anti-fragility and longevity.
2. Comparing ChatGPT Informed Consent Documentations for Energy-Based Devices.
Using standardized prompts, ChatGPT-4 generated consent forms for 8 energy-based devices that experts rated variably: radiofrequency microneedling scored highest, while monopolar RF scored lowest. Documentation of expected pain and post-procedure restrictions was stronger than general descriptions, and inaccuracies occurred, underscoring the need for dermatologist oversight.
Impact: Timely evaluation at the intersection of AI and cosmetic dermatology provides actionable guidance on when and how to safely deploy language models in consent workflows.
Clinical Implications: Clinics can leverage AI to draft readable consent forms but must implement expert review, device-specific revisions, and quality control to prevent omissions and inaccuracies.
Key Findings
- ChatGPT-4 consent forms showed variable quality across 8 devices; radiofrequency microneedling scored highest (2.75/3), monopolar RF lowest (1.85).
- Expected pain (2.68) and restrictions (2.5) were consistently well-documented; general descriptions (2.16) and overall impression (2.05) were least complete.
- Some content was incomplete or inaccurate, indicating that AI outputs require dermatologist oversight before clinical use.
Methodological Strengths
- Standardized prompts across devices with blinded, independent ratings by five board-certified dermatologists.
- Multi-domain rubric assessing accuracy and completeness (procedures, benefits, risks, alternatives, overall).
Limitations
- Small expert panel and limited to eight device categories; no patient comprehension outcomes.
- Single AI model/version and prompt set; generalizability to other models or clinical contexts is uncertain.
Future Directions: Prospective, randomized studies comparing AI-assisted vs. standard consents on patient comprehension, decisional conflict, and safety; development of validated, specialty-curated prompt libraries.
OBJECTIVES: Informed consent is vital in dermatologic procedures, particularly in cosmetic dermatology, where shared decision-making improves outcomes and patient satisfaction. However, drafting detailed consent forms for every type of procedure is time-consuming and tedious. Recent advances in artificial intelligence, including language models like ChatGPT, offer potential for efficiently generating readable consent documents. This study evaluated the quality of ChatGPT-generated informed consent forms for commonly used lasers and energy-based devices. METHODS: A cross-sectional study was conducted using ChatGPT-4 (January 2025) to generate consent forms for eight laser and energy-based dermatologic devices via standardized prompts. Five board-certified dermatologists independently rated each form using a four-point rubric assessing the accuracy and completeness of procedure descriptions, benefits, risks, alternatives, and overall impression. Mean scores were calculated across all domains and devices. RESULTS: ChatGPT-generated consent forms showed variability in quality. Radiofrequency microneedling consents consistently scored highest (average 2.75/3.0), with 9 of 10 domains rated ≥ 2.5. Monopolar radiofrequency devices scored lowest (1.85), with six domains ≤ 2. Expected pain (2.68) and restrictions (2.5) were most consistently well-documented, while general descriptions (2.16) and overall impression (2.05) were least complete. Benefits and risks varied widely across devices. Some forms included incomplete or inaccurate content. CONCLUSION: ChatGPT shows promise in generating informed consent documents efficiently, particularly for procedures like radiofrequency microneedling. However, variability in completeness and occasional inaccuracies limit its standalone clinical utility. Dermatologist oversight remains essential. Broader studies are needed to assess the impact of AI-generated forms on patient comprehension and satisfaction in diverse clinical settings.
3. L-Shaped Zygotomy: A Safe and Versatile Modification of the Zygomatic Approach with Quantitative and Cosmetic Advantages in Skull Base Surgery.
In 35 patients, L-shaped zygotomy achieved 71% gross total resection with no new permanent facial palsy or wound complications and excellent long-term cosmetic scores. Cadaveric and 3D model analyses confirmed reduced flap retraction (−11 mm) and expanded anterior corridor (+3.9–4.2 mm) compared with conventional zygotomy.
Impact: Demonstrates a technique that quantitatively improves exposure while safeguarding function and cosmesis, addressing key barriers to broader adoption of zygomatic approaches.
Clinical Implications: Offers a reproducible approach for skull-base access that minimizes flap retraction and preserves facial contour, with validated long-term cosmetic outcomes and the option to escalate to OZ when needed.
Key Findings
- Retrospective series of 35 patients achieved 71% gross total resection with no new permanent facial palsy or wound complications.
- Mean follow-up 46 ± 14 months showed excellent cosmetic outcomes (surgeons 4.4/5, patients 4.7/5).
- Cadaveric and 3D model validation demonstrated 11 mm less skin flap retraction and 3.9–4.2 mm anterior corridor expansion versus conventional zygotomy.
Methodological Strengths
- Combines clinical outcomes with cadaveric and 3D-printed model quantitative validation.
- Independent surgeon and patient-reported cosmetic assessments with long-term follow-up.
Limitations
- Single-center retrospective design with no randomized comparison to conventional techniques.
- Limited sample size and potential selection bias; external validity requires multicenter validation.
Future Directions: Prospective multicenter comparisons with standardized cosmetic and functional endpoints; biomechanical studies optimizing osteotomy parameters and fixation for stability and cosmesis.
BACKGROUND: The zygomatic approach provides extensive exposure of the anterior and middle skull base but carries risks of facial nerve injury, cosmetic deformity, and unstable arch reconstruction. We developed a modified L-shaped zygotomy designed to improve safety, reduce flap retraction, and ensure stable cosmetic and reconstructive outcomes, while allowing seamless transition to an orbitozygomatic (OZ) craniotomy when required. METHODS: Thirty-five patients who underwent L-shaped zygotomy between August 2017 and February 2025 were retrospectively reviewed. The extent of resection, perioperative complications, and cosmetic outcomes were evaluated. Cosmetic assessment included objective ratings by two independent neurosurgeons and patient self-assessments using a 5-point Likert scale. Quantitative validation was also performed in one cadaveric head preserved with the saturated salt solution method and four 3D-printed skull models to compare the L-shaped and conventional zygotomy techniques. RESULTS: Gross total resection was achieved in 25 patients (71%). No new permanent facial palsy, mastication disturbances, or wound complications occurred. At a mean follow-up of 46 ± 14 months, cosmetic outcomes were excellent (Likert scores: surgeons 4.4 ± 0.5, patients 4.7 ± 0.5). In cadaveric analysis, the L-shaped technique required 11 mm less skin flap retraction and, in 3D models, expanded the anterior surgical corridor by 3.9-4.2 mm compared with conventional zygotomy. CONCLUSIONS: The L-shaped zygotomy is a safe and versatile modification of the zygomatic approach. It provides reproducible quantitative advantages in exposure, minimizes flap retraction, ensures stable cosmetic outcomes validated by long-term follow-up, and allows seamless transition to OZ when broader exposure is necessary.