AI-Driven Blood Loss Prediction in Large-Volume Liposuction: Enhancing Precision and Patient Safety.

Journal: Plastic and reconstructive surgery
Published Date: Jun 10, 2025

Abstract

BACKGROUND: Over 2.3 million liposuctions are performed annually with a complication rate of about 5%, including a death rate of 1 in 5,000 due to blood loss. Artificial intelligence (AI) models offer potential for improving blood loss prediction and management in these procedures, analyzing extensive data to identify risk factors and accurately estimate blood loss.

Authors

  • Mauricio E Perez Pachon
    Scientific Director; Department of Plastic Surgery, Total Definer - Bogota, Colombia; Research fellow, Department of Surgery, Mayo Clinic; Rochester, MN - USA.
  • Jose T Santaella P
    Emergency and Critical Medicine, Anesthesiologist; Department of Anesthesiology, Department of Investigation, CIMA Clinic- Loja, Ecuador; Department of Public Health, Health Ministry of Ecuador.
  • Carlos Oñate
    Plastic Surgeon; Member of the Ecuadorian Society of Plastic Surgery (SECPRE); Member of the American Society of Plastic Surgery (ASPS); Private Practice - CIMA Clinic, Loja, Ecuador.
  • Daniel Oñate
    Plastic Surgeon; Member of the Ecuadorian Society of Plastic Surgery (SECPRE); Member of the American Society of Plastic Surgery (ASPS); Private Practice - CIMA Clinic, Loja, Ecuador.
  • Jonathan De Freitas
    Anesthesiologist; Department of Anesthesiology, CIMA Clinic, Loja, Ecuador.
  • Mariana Borras Osorio
    Research Associate, Department of Plastic Surgery, Total Definer; Private practice - Bogota, Colombia and Rochester, MN.
  • Alfredo E Hoyos
    Plastic Surgeon, CEO at Total Definer; Member of the Colombian Society of Plastic, Aesthetic, Maxillofacial, and Hand Surgery (SCCP); Member of the American Society of plastic surgeons (ASPS); Member of the International Society of Aesthetic Plastic Surgery (ISAPS); Private practice - Dhara Clinic, Bogota, Colombia (Senior Author).

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