皮肤癌是全球白皮肤患者中普遍存在的癌症类型，由于发病率上升，引起了相关的公共健康问题。紫外线 (UV) 辐射是皮肤癌的主要危险因素。然而，与晒伤相关的故意晒黑仍然是一种常见做法，特别是在女性成年人中。需要针对儿童和青少年开展适当的预防活动，以改善尤其是这些年龄段的防晒行为。我们研究的目的是调查基于人工智能的面部皮肤老化模拟是否可以增强成年女性的防晒行为。在巴塞尔大学医院皮肤科的这项单中心前瞻性观察性试点研究中，我们采取了2021 年 2 月至 3 月期间，使用 VISIA-CR 相机（新泽西州帕西帕尼的 Canfield Scientific Inc.，版本 8.2）拍摄健康年轻女性的脸部照片。从三个角度（直角、左 45°、右 45°）拍摄数字图像）。所有参与者都接受了基于人工智能的面部皮肤模拟，其持续老化时间长达 80 年。在老化前和老化后模拟中完成了新创建的匿名调查问卷，捕获参与者的社会人口统计数据以及晒黑和防晒行为。为了观察长期效果，于2023年3月至4月进行了为期2年的随访。60名参与者（平均年龄23.6±2.5岁）在使用VISIA-CR模拟皮肤老化后评价防晒的重要性显着提高相机（p

Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a relevant public health concern due to rising incidence rates. Ultraviolet (UV) radiation poses a major risk factor for skin cancer. However intentional tanning associated with sunburns remains a common practice, notably among female adults Appropriate prevention campaigns targeting children and adolescents are needed to improve sun-protection behavior particularly in these age groups. The aim of our study is to investigate if an AI-based simulation of facial skin aging can enhance sun-protection behavior in female adults.In this single-center prospective observational pilot study at Department of Dermatology at the University Hospital of Basel, we took photographs of healthy young females' faces with a VISIA-CR camera (Canfield Scientific Inc., Parsippany, New Jersey, Version 8.2) between February to March 2021. Digital images were performed in three angles (straight, left 45°, right 45°). All participants received an AI-based simulation of their facial skin with continuous aging to 80 years. A newly created anonymous questionnaire capturing participants' sociodemographic data and also tanning and sun-protection behavior was completed in pre- and post-aging simulation. To observe long-term effects, a 2-year follow-up was conducted between March to April 2023.The 60 participants (mean age 23.6±2.5 years) evaluated the importance of sun-protection significantly higher after skin aging simulation with VISIA-CR camera (p<0.0001; 95%-CI:8.2-8.8). Post-intervention, 91.7% (55/60) of the females were motivated to reduce UV exposure and to intensify UV protection in the future since the individual UV-dependent risk was perceived significantly higher (p<0.001; 95%-CI: 5.9-6.7). At two-year follow-up, 96% (24/25) indicated persistent effort reducing UV exposure. The preference for SPF50+ sunscreen increased to 46.7% (28/65) directly after the skin-aging simulation and continued to rise up to 60.0% (15/25) after two years.Our data emphasize the potential of AI-assisted photo-aging interventions to enhance motivation for UV protection in the short and the long term We encourage that different age and gender groups are addressed in a personalized, generation-specific manner with the appropriate media and by considering the Hawthorne effect. Campaigns with visual AI support can improve the intent of cancer-preventative behavior.The Author(s). Published by S. Karger AG, Basel.