News Release

Did your plastic surgeon really turn back the clock? Artificial intelligence may be able to quantify how young you actually look after facelift surgery

Peer-Reviewed Publication

Wolters Kluwer Health

June 30, 2021 - For most patients, the reasons for having a facelift are simple: to "turn back the clock" for a younger and more attractive appearance. Even during the pandemic year 2020, more than 234,000 patients underwent facelift surgery, according to American Society of Plastic Surgeons (ASPS) statistics.

When considering facelift surgery, patients may ask, "How much younger will I look?" For plastic surgeons, that has been a difficult question to answer. Typically, the cosmetic outcomes of facelifting have been judged on a case-by-case basis, or with the use of subjective ratings.

Now 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. "Our study shows that currently available AI algorithms can recognize the success of facelifting, and even put a number on the reduction in years of perceived age," comments senior author James P. Bradley, MD, Vice Chairman of Surgery, Zucker School of Medicine at Hofstra/Northwell. The study is published in the July issue of Plastic and Reconstructive Surgery®, the official medical journal of the ASPS.

The study used a type of AI algorithm called convolutional neural networks. "By training on datasets containing millions of public images, these neural networks can learn to discern facial features with much higher 'experience' than a typical person," Dr. Bradley explains.

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. "Patients may tend to overestimate how much younger they look after facelift surgery - perhaps reflecting their emotional and financial investment in the procedure," Dr. Bradley comments.

On the FACE-Q questionnaire, patients were highly satisfied with the results of their facelift surgery: average scores (on a 0-to-100 scale) 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 Dr. Bradley.

Artificial intelligence algorithms can provide an objective and reliable estimate of the apparent reduction in age after facelift surgery, the new findings suggest. These age estimates also seem to provide an indicator of patient satisfaction scores - even if the reduction in years doesn't quite match the patient's own subjective rating.

"Together with powerful image analysis tools used in modern plastic surgery, neural networks may play a useful role in counseling patients and demonstrating successful results of facial rejuvenation procedures," Dr. Bradley adds. "We think that AI algorithms could also play a useful role for plastic surgeons in assessing their own results and comparing the outcomes of different techniques."

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Click here to read "Turning Back the Clock: Artificial Intelligence Recognition of Age Reduction after Face-Lift Surgery Correlates with Patient Satisfaction."

DOI: 10.1097/PRS.0000000000008020

Plastic and Reconstructive Surgery® is published in the Lippincott portfolio by Wolters Kluwer.

About Plastic and Reconstructive Surgery

For over 75 years, Plastic and Reconstructive Surgery® (http://www.prsjournal.com/) has been the one consistently excellent reference for every specialist who uses plastic surgery techniques or works in conjunction with a plastic surgeon. The official journal of the American Society of Plastic Surgeons, Plastic and Reconstructive Surgery® brings subscribers up-to-the-minute reports on the latest techniques and follow-up for all areas of plastic and reconstructive surgery, including breast reconstruction, experimental studies, maxillofacial reconstruction, hand and microsurgery, burn repair and cosmetic surgery, as well as news on medico-legal issues.

About ASPS

The American Society of Plastic Surgeons is the largest organization of board-certified plastic surgeons in the world. Representing more than 7,000 physician members, the society is recognized as a leading authority and information source on cosmetic and reconstructive plastic surgery. ASPS comprises more than 94 percent of all board-certified plastic surgeons in the United States. Founded in 1931, the society represents physicians certified by The American Board of Plastic Surgery or The Royal College of Physicians and Surgeons of Canada.

About Wolters Kluwer

Wolters Kluwer (WKL) is a global leader in professional information, software solutions, and services for the clinicians, nurses, accountants, lawyers, and tax, finance, audit, risk, compliance, and regulatory sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with advanced technology and services.

Wolters Kluwer reported 2020 annual revenues of €4.6 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs approximately 19,200 people worldwide. The company is headquartered in Alphen aan den Rijn, the Netherlands.

Wolters Kluwer provides trusted clinical technology and evidence-based solutions that engage clinicians, patients, researchers and students in effective decision-making and outcomes across healthcare. We support clinical effectiveness, learning and research, clinical surveillance and compliance, as well as data solutions. For more information about our solutions, visit https://www.wolterskluwer.com/en/health and follow us on LinkedIn and Twitter @WKHealth.

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