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American Association of Plastic Surgeons

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Turning Back The Clock: Artificial Intelligence Recognition Of Age Reduction After Facelift Surgery Correlates With Patient Satisfaction
Kevin Chen, MD1, Ben Zhang, BA1, Stephen M. Lu, MD, MDiv1, Bruce Nakfoor, BA1, Roger Cheng, MS2, Alexander Gibson, BA1, Neil Tanna, MD, MBA1, Charles H. Thorne, MD3, James P. Bradley, MD1.
1Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA, 2Microsoft, Redmond, WA, USA, 3Lenox Hill Hospital, New York, NY, USA.

PURPOSE: Patients desire facelifting procedures primarily to look younger and more refreshed and attractive. Since there are few objective studies assessing the success of facelift surgery, we utilized artificial intelligence, in the form of convolutional neural network algorithms alongside FACE-Q patient-reported outcomes to evaluate perceived age reduction and patient satisfaction following facelift surgery.
METHODS: Standardized preoperative and postoperative (1 year) images of 50 consecutive patients who underwent facelift procedures were used by four neural networks which have been trained to recognize facial images to estimate age reduction after surgery. In addition, FACE-Q surveys were used to measure patient-reported facial aesthetic outcome. Patient satisfaction was correlated to to age reduction with Pearsonís correlation coefficient.
RESULTS: The neural network Preoperative Age Accuracy Score demonstrated that all four neural networks were accurate in identifying ages (mean score=100.8). Patient Self-Appraisal reported greater age reduction than Neural Network reported age reduction after a facelift (6.7 years vs 4.3 years). FACE Q scores demonstrated a high level of patient satisfaction for facial appearance (75.1+8.1), quality of life (82.4+8.3), and satisfaction with outcome (79.0+6.3). There was a positive correlation between neural network age reduction and patient reported scores on FACE-Q for appearance, quality of life, and overall satisfaction.
CONCLUSION: Artificial intelligence algorithms can reliably estimate the reduction in apparent age after facelift surgery; this estimated age reduction correlates with patient satisfaction.


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