14086 A new multimodal age prediction image analysis method from hands images of different age groups by neural network model

Georgievskaya, Anastasia; Tlyachev, Timur; Kiselev, Konstantin; Sholokhova, Tatiana; Krutmann, Jean; Chun, Elvin; Majmudar, Gopa

doi:10.1016/j.jaad.2020.06.158

Cited by 2 publications

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“…Gender-specific scales for selected skin parameters have been discussed and suggested by several researchers in the past. 26,35 However, based on the author's previously published work, 10,11 the accuracy of AI systems-including those for skin analysis-can benefit from population-specific algorithms and biomarkers that have also been confirmed using other research groups. 36,37 Of all the skin parameters reviewed in this study, the least variability for both genders was observed for Dark Circles, Eye Bags, Acne, Pigmentation, and Redness.…”

Section: Discussionmentioning

confidence: 99%

“…Artificial intelligence (AI) and machine learning advances reshape the future of aesthetics and anti-ageing domains. [1][2][3][4][5][6][7][8][9][10][11] Such digital innovations are recognized within cosmetic dermatology and are used to complement traditional skin evaluation methods. Our appearance has a significant impact on our selfperception and how we are perceived by others, 12 both of which contribute significantly to our life satisfaction, overall well-being, 13 and confidence.…”

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confidence: 99%

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Artificial Intelligence Confirming Treatment Success: The Role of Gender- and Age-Specific Scales in Performance Evaluation

Georgievskaya

2021

Plastic &Amp; Reconstructive Surgery

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Summary: In plastic surgery and cosmetic dermatology, photographic data are an invaluable element of research and clinical practice. Additionally, the use of before and after images is a standard documentation method for procedures, and these images are particularly useful in consultations for effective communication with the patient. An artificial intelligence (AI)-based approach has been proven to have significant results in medical dermatology, plastic surgery, and antiaging procedures in recent years, with applications ranging from skin cancer screening to 3D face reconstructions, the prediction of biological age and perceived age. The increasing use of AI and computer vision methods is due to their noninvasive nature and their potential to provide remote diagnostics. This is especially helpful in instances where traveling to a physical office is complicated, as we have experienced in recent years with the global coronavirus pandemic. However, one question remains: how should the results of AI-based analysis be presented to enable personalization? In this paper, the author investigates the benefit of using gender- and age-specific scales to present skin parameter scores calculated using AI-based systems when analyzing image data.

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