The usefulness of artificial intelligence in breast reconstruction: a systematic review.

Journal: Breast cancer (Tokyo, Japan)
PMID: 38619786

Abstract

BACKGROUND: Artificial Intelligence (AI) offers an approach to predictive modeling. The model learns to determine specific patterns of undesirable outcomes in a dataset. Therefore, a decision-making algorithm can be built based on these patterns to prevent negative results. This systematic review aimed to evaluate the usefulness of AI in breast reconstruction.

Authors

  • Karla C Maita
    Division of Plastic Surgery, Mayo Clinic, Jacksonville, FL, USA.
  • Francisco R Avila
    Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA.
  • Ricardo A Torres-Guzman
    Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA.
  • John P Garcia
    Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA.
  • Gioacchino D De Sario Velasquez
    Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA.
  • Sahar Borna
    Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA.
  • Sally A Brown
    Department of Administration, Mayo Clinic, Jacksonville, FL, USA.
  • Clifton R Haider
  • Olivia S Ho
    Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA.
  • Antonio Jorge Forte
    Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA. ajvforte@yahoo.com.br.

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