{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T22:58:00Z","timestamp":1790117880846,"version":"4.0.1"},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T00:00:00Z","timestamp":1605830400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,13]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Patients desire facelifting procedures to look younger, refreshed, and attractive. Unfortunately, there are few objective studies assessing the success of types of facelift procedures and ancillary techniques.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>The authors sought to utilize convolutional neural network algorithms alongside patient-reported FACE-Q outcomes to evaluate perceived age reduction and patient satisfaction following various facelift techniques.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Standardized preoperative and postoperative (1-year) images of patients who underwent facelift procedures were analyzed by 4 neural networks to estimate age reduction after surgery (n = 105). FACE-Q surveys were employed to measure patient-reported facial aesthetic outcome. We compared (1) facelift procedure type: skin-only vs superficial musculoaponeurotic system (SMAS)-plication, vs SMAS-ectomy; and (2) ancillary techniques: fat grafting (malar) vs no fat grafting. Outcomes were based on complications, estimated age-reduction, and patient satisfaction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The neural network preoperative age accuracy score demonstrated that all neural networks were accurate in identifying our patients\u2019 ages (mean score = 100.4). SMAS-ectomy and SMAS-plication had significantly greater age-reduction (5.85 and 5.35 years, respectively) compared with skin-only (2.95 years, P &amp;lt; 0.05). Fat grafting compared to no fat grafting demonstrated 2.1 more years of age reduction. Facelift procedure type did not affect FACE-Q scores; however, patients who underwent fat grafting had a higher satisfaction with outcome (78.1 \u00b1 8 vs 69 \u00b1 6, P &amp;lt; 0.05) and decision to have the procedure (83.0 \u00b1 6 vs 72 \u00b1 9, P &amp;lt; 0.05).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Artificial intelligence algorithms can reliably estimate the reduction in apparent age after facelift surgery. Facelift technique, like SMAS-ectomy or SMAS-plication, and specific technique, like fat grafting, were found to enhance facelifting outcomes and patient satisfaction.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/asj\/sjaa238","type":"journal-article","created":{"date-parts":[[2020,11,21]],"date-time":"2020-11-21T00:56:51Z","timestamp":1605920211000},"page":"987-999","source":"Crossref","is-referenced-by-count":48,"title":["Facelift Surgery Turns Back the Clock: Artificial Intelligence and Patient Satisfaction Quantitate Value of Procedure Type and Specific Techniques"],"prefix":"10.1093","volume":"41","author":[{"given":"Alexander R","family":"Gibstein","sequence":"first","affiliation":[{"name":"Miami University Medical School , Oxford, OH, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin","family":"Chen","sequence":"additional","affiliation":[{"name":"Division of Plastic Surgery, Zucker School of Medicine at Hofstra\/Northwell, Hofstra University , Hempstead, NY , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruce","family":"Nakfoor","sequence":"additional","affiliation":[{"name":"University of Notre Dame , Notre Dame, IN , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen M","family":"Lu","sequence":"additional","affiliation":[{"name":"Division of Plastic Surgery, Zucker School of Medicine at Hofstra\/Northwell, Hofstra University , Hempstead, NY , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roger","family":"Cheng","sequence":"additional","affiliation":[{"name":"Microsoft in Redmond , WA , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles H","family":"Thorne","sequence":"additional","affiliation":[{"name":"Division of Plastic Surgery, Zucker School of Medicine at Hofstra\/Northwell, Hofstra University , Hempstead, NY , USA"},{"name":"Department of Plastic Surgery, Lenox Hill Hospital , New York City, NY , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James P","family":"Bradley","sequence":"additional","affiliation":[{"name":"Division of Plastic Surgery, Zucker School of Medicine at Hofstra\/Northwell, Hofstra University , Hempstead, NY , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2020,11,20]]},"reference":[{"issue":"4","key":"2022112719402782200_CIT0001","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1016\/j.cps.2019.06.001","article-title":"The lift-and-fill facelift: superficial musculoaponeurotic system manipulation with fat compartment augmentation","volume":"46","author":"Rohrich","year":"2019","journal-title":"Clin Plast Surg"},{"issue":"6","key":"2022112719402782200_CIT0002","doi-asserted-by":"crossref","first-page":"1531","DOI":"10.1007\/s00266-018-1223-x","article-title":"The super-high SMAS facelift technique with tailor tack 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