Objective and automatic grading system of facial signs from selfie pictures of South African women: Characterization of changes with age and sun‐exposures

Grading facial aging: Comparing the clinical assessments made by three dermatologists with those obtained by an AI-based scoring system that analyses selfie pictures. A focus on Chinese subjects of both genders

OBJECTIVE

The objective of this study is to assess the correspondence, in live conditions, between clinical gradings of facial aging signs by three dermatologists and those afforded by an automatic AI-based algorithm that analyses smartphones' selfie images of Chinese subjects.

METHODS

In total, 125 Chinese subjects of both genders, aged 18-62y, took a selfie using their own smartphones and were immediately viewed by three dermatologists. The latter graded the severity of 15 facial signs in women and 9 in men, using the standardized values afforded by a Skin Aging Atlas referential dedicated to Asian skin. The data issued by both methodologies were then statistically compared.

RESULTS

The absolute gradings of the automatic system were found highly correlated with clinical assessments, with lower values in most cases. In women, large differences in absolute values were found on the gradings for size of isolated spot, cheek fold, spread macules, and texture of mouth contour women. Analysis of the Mean Absolute Errors (M.A.E) revealed that these rarely exceed 0.6 grading units in women and to a lesser extent in men.

CONCLUSION

The present study confirmed the value of the automatic system towards an extended use towards large human cohorts as a surrogate of clinical evaluations and allowed to detect the points where improvements must be brought to the system.

Photoaging's portrait: The road map towards its photoprotection

OBJECTIVE

To summarize key research published by the author's group, dealing with skin photoaging and its photoprotection.

MATERIALS AND METHODS

Two methodologies (standard photographs and selfies imaging) resulting from referential skin ageing atlases were applied on 2487 subjects of different ancestries, ages and gender. These aimed at first to best assess and grade the variable severities of some facial signs (texture/wrinkles, pigmentary spots, sagging and vascular disorders) that occur progressively during the photoaging process. Second, such methodologies were used to record the benefits brought by a photoprotective regimen (671 women and men).

RESULTS

In all studied ancestries, each facial sign show an increase severity along decades, at its own pace, some showing a linear like progression, whereas some plateau at early ages. These changes differed according to skin innate colour (phototype) and with individual behaviours vis-à-vis sun exposures, more so among European women than North-East Asian women. An effect of gender (less severe alterations) was observed on Chinese men, as compared to Chinese women. Pigmentary disorders were found hallmarks of photo-aged North-East Asian women. Globally, photoaging impact the apparent age of the different subjects. The counteracting effects of strong topical Photoprotective regimens were evidenced along a 6-month seasonality in Chinese and French women or 1-year period in Brazilian women with phototypes II to VI. Photoprotection led to a more even skin complexion among Indian subjects with pigment irregularities.

CONCLUSION

Two factors clearly hamper a better assessment of the efficiency of photoprotection of the sun-induced cutaneous ageing: short durations (months) of the studies with regard to the global fate of photoaging by decades and the number of studied subjects, limited to hundreds for practical reasons. The methodology based on the automatic analysis of facial signs through selfies images could theoretically bypass both factors, allowing thousands of subjects to be studied along years.

Impact on facial skin aging signs of a 1-year standardized photoprotection over a classical skin care routine in skin phototypes II-VI individuals: A prospective randomized trial

BACKGROUND

Data reflecting the impact of photoprotection on cutaneous aging are scarce and mostly limited to fair skin.

OBJECTIVE

To assess the effectiveness of a photoprotective product in counteracting the photoaging process in different skin phototypes over 1 year compared against a classical routine.

MATERIALS AND METHODS

Two hundred and ninety Brazilian women aged 30-65 years, with skin phototype II-VI were equally randomized in two groups. Group 1 kept on their routine whereas Group 2 applied, twice daily, a photoprotective product (SPF 60, PPD = 24.1) replacing the one they routinely used. Volunteers reported the duration of their daily sun-exposure. Standardized photographs taken at D0 and D365 were analysed by 15 dermatologists to assess eight wrinkles and pigmentation signs.

RESULTS

A global increase in severity was reported which was significant for Group 1. This increase was lower in Group 2 where only half the signs showed significant worsening. In Group 2 versus Group 1, the increase in forehead wrinkles, marionette lines, wrinkles created by ptosis and size of dark spot was significantly (p < 0.05) decreased by 30%-50%.

CONCLUSION

Daily application of a high photoprotective product significantly decreases the progression of skin aging signs after 1 year in skin phototypes II-VI.

Objective and automatic grading system of facial signs from smartphones' pictures in South African men: Validation versus dermatologists and characterization of changes with age

OBJECTIVE

To evaluate the capacity of the automatic detection system to accurately grade, from selfie pictures, the severity of eight facial signs in South African men.

METHODS

Selfie pictures (obtained from frontal and back cameras) of 281 South African men differently aged (20-70 years) were obtained and analyzed by an automatic artificial intelligence (AI)-based automatic grading system. Data were compared with the clinical gradings made by experts and dermatologists.

RESULTS

In all facial signs, both series of gradings were found highly correlated with, however, different coefficients (0.59-0.95), those of marionette lines and cheek pores being of lower values. No differences were observed between data obtained by frontal and back cameras. With age, in most cases, gradings show up to the 50-59 year age-class, linear-like changes. When compared to men of other ancestries, South African men present lower wrinkles/texture, pigmentation, and ptosis/sagging scores till 50-59 years, albeit not much different in the cheek pores sign. The early onset (mean age) of visibility of wrinkles/texture for South African men were (i.e., reaching grade >1) 39 and 45 years for ptosis/sagging.

CONCLUSION

This study completes and enlarges the previous works conducted on men of other ancestries by showing some South African specificities and slight differences with men of comparable phototypes (Afro American).

Accuracy and clinical relevance of an automated, algorithm-based analysis of facial signs from selfie images of women in the United States of various ages, ancestries and phototypes: A cross-sectional observational study

BACKGROUND

Real-life validation is necessary to ensure our artificial intelligence (AI) skin diagnostic tool is inclusive across a diverse and representative US population of various ages, ancestries and skin phototypes.

OBJECTIVES

To explore the relevance and accuracy of an automated, algorithm-based analysis of facial signs in representative women of different ancestries, ages and phototypes, living in the same country.

METHODS

In a cross-sectional study of selfie images of 1041 US women, algorithm-based analyses of seven facial signs were automatically graded by an AI-based algorithm and by 50 US dermatologists of various profiles (age, gender, ancestry, geographical location). For automated analysis and dermatologist assessment, the same referential skin atlas was used to standardize the grading scales. The average values and their variability were compared with respect to age, ancestry and phototype.

RESULTS

For five signs, the grading obtained by the automated system were strongly correlated with dermatologists' assessments (r ≥ 0.75); cheek skin pores were moderately correlated (r = 0.63) and pigmentation signs, especially for the darkest skin tones, were weakly correlated (r = 0.40) to the dermatologist assessments. Age and ancestry had no effect on the correlations. In many cases, the automated system performed better than the dermatologist-assessed clinical grading due to 0.3-0.5 grading unit differences among the dermatologist panel that were not related to any individual characteristic (e.g. gender, age, ancestry, location). The use of phototypes, as discontinuous categorical variables, is likely a limiting factor in the assessments of grading, whether obtained by automated analysis or clinical assessment of the images.

CONCLUSIONS

The AI-based automatic procedure is accurate and clinically relevant for analysing facial signs in a diverse and inclusive population of US women, as confirmed by a diverse panel of dermatologists, although skin tone requires further improvement.