Detection of Baseline Emotion in Brow Lift Patients Using Artificial Intelligence.
Artificial intelligence
Brow lift
Endoscopic browlift
FaceReader
Journal
Aesthetic plastic surgery
ISSN: 1432-5241
Titre abrégé: Aesthetic Plast Surg
Pays: United States
ID NLM: 7701756
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
received:
17
02
2021
accepted:
29
05
2021
pubmed:
29
9
2021
medline:
8
1
2022
entrez:
28
9
2021
Statut:
ppublish
Résumé
The widespread popularity of browlifts and blepharoplasties speaks directly to the importance that patients place on the periorbital region of the face. In literature, most esthetic outcomes are based on instinctive analysis of the esthetic surgeon, rather than on patient assessments, public opinions, or other objective means. We employed an artificial intelligence system to objectively measure the impact of brow lifts and associated rejuvenation procedures on the appearance of emotion while the patient is in repose. We retrospectively identified all patients who underwent bilateral brow lift for visual field obstruction between 2006 and 2019. Images were analyzed using a commercially available facial expression recognition software package (FaceReader™, Noldus Information Technology BV, Wageningen, Netherlands). The data generated reflected the proportion of each emotion expressed for any given facial movement and the action units associated. A total of 52 cases were identified after exclusion. Pre-operatively, the angry, happy, sad, scared, and surprised emotion were detected on average of 13.06%, 1.68%, 13.06%, 3.53%, and 0.97% among all the patients, respectively. Post-operatively, the angry emotion average decreased to 5.42% (p=0.009). The happy emotion increased to 9.35% (p=0.0013), while the sad emotion decreased to 5.42%. The scared emotion remained relatively the same at 3.4%, and the surprised emotion increased to 2.01%; however, these were not statistically significant. This study proposes a paradigm shift in the clinical evaluation of brow lift and other facial esthetic surgery, implementing an existing facial emotion recognition system to quantify changes in expression associated with facial surgery. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
Sections du résumé
BACKGROUND
The widespread popularity of browlifts and blepharoplasties speaks directly to the importance that patients place on the periorbital region of the face. In literature, most esthetic outcomes are based on instinctive analysis of the esthetic surgeon, rather than on patient assessments, public opinions, or other objective means. We employed an artificial intelligence system to objectively measure the impact of brow lifts and associated rejuvenation procedures on the appearance of emotion while the patient is in repose.
METHODS
We retrospectively identified all patients who underwent bilateral brow lift for visual field obstruction between 2006 and 2019. Images were analyzed using a commercially available facial expression recognition software package (FaceReader™, Noldus Information Technology BV, Wageningen, Netherlands). The data generated reflected the proportion of each emotion expressed for any given facial movement and the action units associated.
RESULTS
A total of 52 cases were identified after exclusion. Pre-operatively, the angry, happy, sad, scared, and surprised emotion were detected on average of 13.06%, 1.68%, 13.06%, 3.53%, and 0.97% among all the patients, respectively. Post-operatively, the angry emotion average decreased to 5.42% (p=0.009). The happy emotion increased to 9.35% (p=0.0013), while the sad emotion decreased to 5.42%. The scared emotion remained relatively the same at 3.4%, and the surprised emotion increased to 2.01%; however, these were not statistically significant.
CONCLUSION
This study proposes a paradigm shift in the clinical evaluation of brow lift and other facial esthetic surgery, implementing an existing facial emotion recognition system to quantify changes in expression associated with facial surgery.
LEVEL OF EVIDENCE IV
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
Identifiants
pubmed: 34580758
doi: 10.1007/s00266-021-02430-0
pii: 10.1007/s00266-021-02430-0
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2742-2748Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2021. Springer Science+Business Media, LLC, part of Springer Nature and International Society of Aesthetic Plastic Surgery.
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