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The Use of Emotional Artificial Intelligence in Plastic Surgery
Heather A Levites1, Analise B Thomas1, Jim B Levites1
1From the Division of Plastic and Reconstructive Surgery, Duke University Medical Center; Zenn Plastic Surgery; and Cognovi Labs, Inc.
Plastic and Reconstructive Surgery
|July 27, 2019
Summary
Social media data reveals patient emotions and motivations in plastic surgery. Artificial intelligence can predict successful procedures and products by analyzing this data.
Area of Science:
- Plastic Surgery
- Artificial Intelligence
- Social Media Analytics
Background:
- Social media is a vast, untapped resource for plastic surgery research.
- Understanding patient emotions and motivations is key to educational research in this field.
Purpose of the Study:
- To identify plastic surgery topics that elicit significant emotional responses.
- To assess the utility of artificial intelligence in analyzing patient motivations within plastic surgery.
Main Methods:
- Utilized artificial intelligence (AI) technology from Cognovi Labs over a 4-month period (January-April 2018).
- Analyzed emotional reactions to commonly hashtagged plastic surgery terms using metrics like awareness, engagement, and motivation.
Main Results:
- 'Nose job' had the highest awareness; 'liposuction' generated the most emotional engagement.
- Consumers showed highest motivation for 'plastic surgery' and 'cosmetic surgery', lowest for 'tummy tucks'.
Conclusions:
- This study represents the first quantitative use of social media data to interpret patient motivations in plastic surgery.
- AI technology can predict successful plastic surgery products, procedures, and practices by analyzing social media data.
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