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Plast Reconstr Surg ; 144(2): 499-504, 2019 08.
Artigo em Inglês | MEDLINE | ID: mdl-31348367


BACKGROUND: The use of social media to discuss topics related to and within plastic surgery has become widespread in recent years; however, it remains unclear how to use this abundance of largely untapped data to propagate educational research in the field of plastic surgery. In this prospective, observational study, the authors aimed to delineate which plastic surgery-related topics evoked a significant emotional response within the study population and to assess the utility of motivational artificial intelligence within the field of plastic surgery. METHODS: Over a 4-month period (January to April of 2018), Cognovi Lab's artificial intelligence technology was used to search and analyze emotional reactions to several commonly hashtagged words. This innovative software uses several key metrics to describe its findings, including awareness, engagement, and motivation. RESULTS: Of the search terms examined, "nose job" had the most awareness during the study period, and the topic that most engaged consumers emotionally was "liposuction." Interestingly, "liposuction" ranked only fifth in terms of awareness. Consumers showed the strongest positive motivation toward the subjects of "plastic surgery" and "cosmetic surgery," and the lowest motivation toward the topic of "tummy tucks." CONCLUSIONS: This analysis by Cognovi Labs is the first quantitative effort to use the plethora of data on social media to interpret patient motivations and subsequent behavior. Moving forward, artificial intelligence technology will make it possible to predict which plastic surgery products, procedures, and practices will be successful. The findings presented in this article describe the unique viewpoint and power that this technology can deliver.

Inteligência Artificial/estatística & dados numéricos , Satisfação do Paciente/estatística & dados numéricos , Mídias Sociais/estatística & dados numéricos , Cirurgia Plástica/métodos , Bases de Dados Factuais , Inteligência Emocional , Estética , Feminino , Humanos , Aprendizado de Máquina , Masculino , Estudos Prospectivos , Cirurgia Plástica/psicologia , Resultado do Tratamento
Ann Plast Surg ; 73 Suppl 2: S153-6, 2014 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-24727445


BACKGROUND: Nipple-areolar complex (NAC) tattoos are an effective cosmetic solution for creating a finished look following breast reconstruction procedures. NAC tattoos are prone to significant fading, leading patients to seek revisions. This study was designed to quantify changes in NAC tattoo appearance over time. METHODS: A total of 71 images of 39 patients were analyzed for NAC tattoo color and shape by 5 blinded medical student graders using a customized scoring system. Subsequently, each image was analyzed using ColorPic software (Iconico, New York, NY). Red/green/blue and hue/saturation/value color parameters were collected. Color quantities were normalized to the individual patient's skin tone to control for variability in lighting. Spearman correlations and nonlinear regressions were calculated utilizing GraphPad Prism 6.0 (GraphPad, La Jolla, CA). RESULTS: The length of time after tattoo placement inversely correlated with color score (P < 0.0001) and shape score (P = 0.0007). The time following tattoo placement was also inversely correlated with all quantitative color parameters. Each color parameter fit a 1-phase exponential decay model. CONCLUSIONS: The decline in qualitative color and shape score agrees with clinical experience of tattoo quality declining over time. The color qualities of the tattoo approach those of the patient's skin over time, ultimately reaching a plateau. This can be modeled using a 1-phase decay equation. In practice, tattoo colors may be selected that compensate for the predictable changes that will occur. The results of this study will help optimize tattoo color and may alleviate the need for NAC tattoo revisions.

Mamoplastia , Mamilos , Tatuagem , Adulto , Idoso , Cor , Feminino , Seguimentos , Humanos , Pessoa de Meia-Idade , Modelos Estatísticos , Fotografação , Estudos Retrospectivos , Método Simples-Cego , Fatores de Tempo