A Novel Technique for Eye Rejuvenation: A Case Series of the Combined Use of CO2 Laser Blepharoplasty and Erbium: YAG Resurfacing and A Novel Artificial Intelligence Model to Quantify Laser Results

IF 2.5 4区 医学 Q2 DERMATOLOGY Journal of Cosmetic Dermatology Pub Date : 2025-02-07 DOI:10.1111/jocd.70022
Chelsea E. Kesty, Katarina R. Kesty
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Abstract

Background

Consumers are searching for a solution to rejuvenate the eye area. Surgical blepharoplasties are a common solution, but they lack improvement in skin quality.

Aims

To present a novel procedure of a laser upper blepharoplasty in combination with erbium laser resurfacing of the lower eyelid for optimal rejuvenation and minimal complications.

Methods

The authors present a laser upper blepharoplasty with the CO2 laser performed at the same time as lower eyelid resurfacing using an erbium laser. The authors used an artificial intelligence large language model to assess the patient before and after photographs to quantify cosmetic improvement.

Results

After this novel procedure, patients demonstrated significant improvements in upper eyelid contour, reduced skin laxity, and smoother lower eyelid texture. Patient satisfaction was high, with each patient reporting an overall rejuvenated appearance and a more “awake” and youthful look. The artificial intelligence algorithm showed cosmetic improvement in line with the clinical evaluations by the patient and physician.

Conclusions

The combination of CO2 laser blepharoplasty and Er:YAG laser resurfacing addresses both upper eyelid dermatochalasis and lower eyelid wrinkles effectively while minimizing recovery time and the potential for complications. Artificial intelligence models were used to enhance this study and corroborate evaluator cosmetic improvement.

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一种眼部年轻化的新技术:CO2激光眼睑成形术和铒YAG表面置换联合应用的案例系列和一种新的人工智能模型来量化激光结果
消费者正在寻找一种能使眼部恢复活力的解决方案。眼睑整形手术是一种常见的解决方案,但它们无法改善皮肤质量。目的介绍一种激光上睑成形术结合铒激光下睑置换的新方法,以获得最佳的年轻化和最小的并发症。方法采用CO2激光上睑成形术与铒激光下睑置换术同时进行。作者使用人工智能大语言模型对患者拍照前后进行评估,以量化美容改善。结果:术后患者上眼睑轮廓明显改善,皮肤松弛度降低,下眼睑质地光滑。患者的满意度很高,每个患者都报告说整体上恢复了活力,看起来更加“清醒”和年轻。人工智能算法根据患者和医生的临床评估显示出化妆品的改善。结论CO2激光眼睑成形术联合Er:YAG激光表面置换可有效治疗上睑松弛和下睑皱纹,减少术后并发症,减少术后恢复时间。人工智能模型用于加强本研究并证实评估者的美容改善。
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来源期刊
CiteScore
4.30
自引率
13.00%
发文量
818
审稿时长
>12 weeks
期刊介绍: The Journal of Cosmetic Dermatology publishes high quality, peer-reviewed articles on all aspects of cosmetic dermatology with the aim to foster the highest standards of patient care in cosmetic dermatology. Published quarterly, the Journal of Cosmetic Dermatology facilitates continuing professional development and provides a forum for the exchange of scientific research and innovative techniques. The scope of coverage includes, but will not be limited to: healthy skin; skin maintenance; ageing skin; photodamage and photoprotection; rejuvenation; biochemistry, endocrinology and neuroimmunology of healthy skin; imaging; skin measurement; quality of life; skin types; sensitive skin; rosacea and acne; sebum; sweat; fat; phlebology; hair conservation, restoration and removal; nails and nail surgery; pigment; psychological and medicolegal issues; retinoids; cosmetic chemistry; dermopharmacy; cosmeceuticals; toiletries; striae; cellulite; cosmetic dermatological surgery; blepharoplasty; liposuction; surgical complications; botulinum; fillers, peels and dermabrasion; local and tumescent anaesthesia; electrosurgery; lasers, including laser physics, laser research and safety, vascular lasers, pigment lasers, hair removal lasers, tattoo removal lasers, resurfacing lasers, dermal remodelling lasers and laser complications.
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