Facial adult female acne in China: An analysis based on artificial intelligence over one million.

BACKGROUND: To further clarify the acne profile of Chinese adult women, we included 1,156,703 adult women. An artificial intelligence algorithm was used to analyze images taken by high-resolution mobile phones to further explore acne levels in Chinese adult women. METHOD: In this study, we assessed the severity of acne by evaluating patients' selfies through a smartphone application. Furthermore, we gathered basic user information through a questionnaire, including details such as age, gender, skin sensitivity, and dietary habits. RESULTS: This study showed a gradual decrease in acne severity from the age of 25 years. A trough was reached between the ages of 40 and 44, followed by a gradual increase in acne severity. In terms of skin problems and acne severity, we have found that oily skin, hypersensitive skin, frequent makeup application and unhealthy dietary habits can affect the severity of acne. For environment and acne severity, we observed that developed city levels, cold seasons and high altitude and strong radiation affect acne severity in adult women. For the results of the AI analyses, the severity of blackheads, pores, dark circles and skin roughness were positively associated with acne severity in adult women. CONCLUSIONS: AI analysis of high-res phone images in Chinese adult women reveals acne severity trends. Severity decreases after 25, hits a low at 40-44, then gradually rises. Skin type, sensitivity, makeup, diet, urbanization, seasons, altitude, and radiation impact acne. Blackheads, pores, dark circles, and skin roughness are linked to acne severity. These findings inform personalized skincare and public health strategies for adult women.

Comprehensive aesthetic corrections of gynecomastia using the reproducible safe and minimally invasive surgical strategy.

BACKGROUND: Minimally invasive access and fast recovery are trends of gynecomastia surgery. We placed great importance on liposuction and modified original pull-through technique. The purpose of this study was to present a refined surgical strategy for gynecomastia in grade I and II. METHODS: The refined strategy embraced enhanced liposuction to remove the intraglandular fat sufficiently, followed by open resection of gland using the pull-through and bottom-up technique with adjuvant liposuction in the end. Surgical data were recorded and satisfactory questionnaires with 5-point scales were administered during follow-up. RESULTS: Between January 2017 and May 2022, 165 patients underwent enhanced liposuction combined with the pull-through and bottom-up technique for gland excision. Age ranged from 12 to 56 years. The median length of surgery was 100 min. A median of 300 ml of fat was aspirated and a median of 20.8 g of gland was excised. Seventy-seven patients (46.7%) responded the questionnaires at least 6 months postoperatively, and the average overall satisfaction was 4.68 ± 0.52 points. Thirteen sides of breasts developed complications with a rate of 4.0%. CONCLUSION: Enhanced liposuction combined with pull-through and bottom-up technique proved effective to treat grade I and II gynecomastia with minimal scarring and high satisfaction. The refined strategy was simple and safe, and would obtain optimal outcomes even for inexperienced surgeons.

Artificial intelligence analysis of over a million Chinese men and women reveals level of dark circle in the facial skin aging process.

BACKGROUND: To better compare the progression of dark circles and the aging process in Chinese skin. A total of 100 589 Chinese males and 1 838 997 Chinese females aged 18 to 85, without facial skin conditions, and who had access to a smartphone with a high-resolution camera all took selfies. METHOD: Using a smartphone application with a built-in artificial intelligence algorithm, facial skin diagnostic evaluated the selfies and score the severity of the dark circles with four other facial indicators (including skin type, Pores, Acne vulgaris, and Blackheads). Basic information was collected with online questionnaire, including their age, gender, skin sensitivity, and dietary habits. RESULTS: In users between the age of 18 and 59, the prevalence of comprehensive, pigmented, and structural type of dark circles all rose with age. However, between the age of 60 and 85, the intensity of all types of dark circles diminished. Besides, vascular dark circles progressively worsen from the age of 18 to their peak at 39, and then gradually decline with age. Females typically have more pronounced black circles under their eyes than males in China. Bad eating habits, urbanization, regular cosmetics use, and sensitive skin positively correlate with severe dark circles. Vascular, comprehensive dark circles were worse in spring. Both pigmented and structural dark circles were worse in the summer. The results indicated that the intensity of dark circles was influenced by oily skin, wide pores, severe blackheads, and severe acne. CONCLUSIONS: Chinese men and women differed noticeably in the prevalence of each face aging indicator and the appearance of aging dark circles. Selfies could be automatically graded and examined by artificial intelligence, which is a quick and private method for quantifying signs of facial aging and identifying major problems for different populations. Artificial intelligence would assist in the development of individualized preventive and therapeutic interventions.