Machine Learning, Deep Learning, Artificial Intelligence and Aesthetic Plastic Surgery: A Qualitative Systematic Review.

Journal: Aesthetic plastic surgery
Published Date:

Abstract

PURPOSE: This systematic review aims to assess the use of machine learning, deep learning, and artificial intelligence in aesthetic plastic surgery.

Authors

  • Raquel Nogueira
    Division of General Surgery, NYU Langone Health, New York, NY.
  • Marina Eguchi
    Department of Surgery, Federal University of São Paulo, 740 Botucatu St, São Paulo, SP, 04023-062, Brazil.
  • Julia Kasmirski
    University of São Paulo, 374 Reitoria St, Butantã, São Paulo, SP, 05508-220, Brazil.
  • Bruno Veronez de Lima
    Medical Student, São Paulo City University (Unicid), 448/475 Cesário Galero St, Tatuapé, SP, 03071-000, Brazil.
  • Dimitri Cardoso Dimatos
    Federal University of Santa Catarina, Eng. Agronômico Andrei Cristian Ferreira St, Trindade, Florianópolis, SC, 88040-900, Brazil.
  • Diego L Lima
    Department of Surgery, Montefiore Medical Center, The Bronx, New York, USA.
  • Robert Glatter
    Emergency Medicine, Zucker School of Medicine at Hofstra/Northwell, Lenox Hill Hospital, Northwell Health, 100 E 77th St, New York, NY, 10075, USA.
  • David L Tran
    Hansjorg Wyss Department of Plastic Surgery, New York University, 307 E 33rd St, New York, NY, 10016, USA.
  • Pedro Salomao Piccinini
    Department of Surgery, Montefiore Medical Center, 1825 Eastchester Rd, Bronx, NY, 10461, USA.