Artificial Intelligence in Surgical Evaluation: A Study of Facial Rejuvenation Techniques
Abstract BackgroundAesthetic facial surgeries historically rely on subjective analysis in determining success; this limits objective comparison of surgical outcomes. ObjectivesThis case study exemplifies the use of an artificial intelligence softwa...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Oxford University Press
2023-03-01
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| Series: | Aesthetic Surgery Journal Open Forum |
| Online Access: | https://academic.oup.com/asjopenforum/article-lookup/doi/10.1093/asjof/ojad032 |
| _version_ | 1797788927745064960 |
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| author | Nathan S D Hebel Thanapoom Boonipat Jason Lin Daniel Shapiro Uldis Bite |
| author_facet | Nathan S D Hebel Thanapoom Boonipat Jason Lin Daniel Shapiro Uldis Bite |
| author_sort | Nathan S D Hebel |
| collection | DOAJ |
| description |
Abstract
BackgroundAesthetic facial surgeries historically rely on subjective analysis in determining success; this limits objective comparison of surgical outcomes.
ObjectivesThis case study exemplifies the use of an artificial intelligence software on objectively analyzing facial rejuvenation techniques with the aim of reducing subjective bias.
MethodsRetrospectively, all patients who underwent facial rejuvenation surgery with concomitant procedures from 2015 to 2017 were included (nnnn
ResultsPostoperatively, Group A experienced a decrease in happiness by 0.84% and a decrease in anger by 6.87% (PPPP
ConclusionsThis study provides the first proof of concept for the use of a machine learning software application to objectively assess various aesthetic surgical outcomes in facial rejuvenation. Due to limitations in patient heterogeneity, this study does not claim one technique's superiority but serves as a conceptual foundation for future investigation.
Level of Evidence: 4
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| first_indexed | 2024-03-13T01:43:30Z |
| format | Article |
| id | doaj.art-2b6b2715079b4a32bf30de2933a735ff |
| institution | Directory Open Access Journal |
| issn | 2631-4797 |
| language | English |
| last_indexed | 2024-03-13T01:43:30Z |
| publishDate | 2023-03-01 |
| publisher | Oxford University Press |
| record_format | Article |
| series | Aesthetic Surgery Journal Open Forum |
| spelling | doaj.art-2b6b2715079b4a32bf30de2933a735ff2023-07-03T10:54:04ZengOxford University PressAesthetic Surgery Journal Open Forum2631-47972023-03-01510.1093/asjof/ojad032Artificial Intelligence in Surgical Evaluation: A Study of Facial Rejuvenation TechniquesNathan S D Hebelhttps://orcid.org/0000-0002-4709-5110Thanapoom BoonipatJason LinDaniel ShapiroUldis Bite Abstract BackgroundAesthetic facial surgeries historically rely on subjective analysis in determining success; this limits objective comparison of surgical outcomes. ObjectivesThis case study exemplifies the use of an artificial intelligence software on objectively analyzing facial rejuvenation techniques with the aim of reducing subjective bias. MethodsRetrospectively, all patients who underwent facial rejuvenation surgery with concomitant procedures from 2015 to 2017 were included (nnnn ResultsPostoperatively, Group A experienced a decrease in happiness by 0.84% and a decrease in anger by 6.87% (PPPP ConclusionsThis study provides the first proof of concept for the use of a machine learning software application to objectively assess various aesthetic surgical outcomes in facial rejuvenation. Due to limitations in patient heterogeneity, this study does not claim one technique's superiority but serves as a conceptual foundation for future investigation. Level of Evidence: 4 https://academic.oup.com/asjopenforum/article-lookup/doi/10.1093/asjof/ojad032 |
| spellingShingle | Nathan S D Hebel Thanapoom Boonipat Jason Lin Daniel Shapiro Uldis Bite Artificial Intelligence in Surgical Evaluation: A Study of Facial Rejuvenation Techniques Aesthetic Surgery Journal Open Forum |
| title | Artificial Intelligence in Surgical Evaluation: A Study of Facial Rejuvenation Techniques |
| title_full | Artificial Intelligence in Surgical Evaluation: A Study of Facial Rejuvenation Techniques |
| title_fullStr | Artificial Intelligence in Surgical Evaluation: A Study of Facial Rejuvenation Techniques |
| title_full_unstemmed | Artificial Intelligence in Surgical Evaluation: A Study of Facial Rejuvenation Techniques |
| title_short | Artificial Intelligence in Surgical Evaluation: A Study of Facial Rejuvenation Techniques |
| title_sort | artificial intelligence in surgical evaluation a study of facial rejuvenation techniques |
| url | https://academic.oup.com/asjopenforum/article-lookup/doi/10.1093/asjof/ojad032 |
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