Artificial intelligence (Al)-based analyses may serve as a more objective tool for measuring
cosmetic improvements following aesthetic plastic surgery. This preliminary proof-of-concept …

Objective assessments of post-operative appearance are critical for research and quality
improvement in aesthetic facial surgery. However, traditional methods for assessing …

Background Machine learning represents a new frontier in surgical innovation. The ranking
Convolutional Neural Network (CNN) is a novel machine learning algorithm that helps …

Although facial attractiveness is data-driven and nondependent on a perceiver, traditional
statistical methods cannot properly identify relationships between facial geometry and its …

Notoriously characterized by subjectivity and lack of solid scientific validation, reporting
aesthetic outcome in plastic surgery is usually based on ill-defined end points and …

Machine Learning started to provide solutions to various challenges in many fields,
including medicine. The objective assessment of rhinoplasty results has been a challenge …

Background Aesthetic surgery procedures such as lip augmentation, eyelid correction, face‐
lifting, or Botox treatment for lines and wrinkles are an important part of cosmetic surgery …

Importance: Artificial intelligence (AI) has made invaluable contributions to the technologic
advancements across many fields. It is transforming health care and may have a role in …

Background As rhinoplasty patient demographics evolve, surgeons must consider the
impact of demographics on patient satisfaction. Objectives The objective of this study was to …

Facial rejuvenation is usually patient-driven. Assessing the efficacy of these procedures is
complex, with various subjective perceptions, leading to an obstacle for communicating …