Artificial intelligence may be able to quantify how young yo
Research suggests a new, objective approach to assessing the reduction in apparent age after facelift surgery: artificial intelligence (AI) networks trained to estimate age based on facial photos. The study is published in Plastic and Reconstructive Surgery.

Four different, publicly available neural networks were used to make objective age estimates of facial age for 50 patients who underwent facelifting. The AI estimates were made using standardized photos taken before and at least one year after facelift surgery. The results were compared with patients' subjective ratings of their appearance, along with responses to a standard patient-rated evaluation (FACE-Q questionnaire).

The patients were all women, average age 58.7 years. The AI algorithms used in the study were 100 percent accurate in identifying the patients' age, based on "before" photos.

In the "after" photos, the neural networks recognized a 4.3-year reduction in age after facelift surgery. That was substantially less than the 6.7-year reduction, as rated by patients themselves.

On the FACE-Q questionnaire, patients were highly satisfied with the results of their facelift surgery: average scores were 75 for facial appearance and over 80 for quality of life. Neural network estimates of age reduction were directly correlated with patient satisfaction. "The younger the AI program perceives a patient's age, the greater their satisfaction with the results of their facelift," says the author.

Artificial intelligence algorithms can provide an objective and reliable estimate of the apparent reduction in age after facelift surgery, the new findings suggest.

Source: https://journals.lww.com/plasreconsurg/Fulltext/2021/07000/Turning_Back_the_Clock__Artificial_Intelligence.8.aspx
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