Trauma outcome predictor: An artificial intelligence interactive smartphone tool to predict outcomes in trauma patients.

Journal: The journal of trauma and acute care surgery
PMID: 33755641

Abstract

BACKGROUND: Classic risk assessment tools often treat patients' risk factors as linear and additive. Clinical reality suggests that the presence of certain risk factors can alter the impact of other factors; in other words, risk modeling is not linear. We aimed to use artificial intelligence (AI) technology to design and validate a nonlinear risk calculator for trauma patients.

Authors

  • Lydia R Maurer
    Department of Surgery, Massachusetts General Hospital, Boston, MA.
  • Dimitris Bertsimas
    Dimitris Bertsimas, Jack Dunn, Colin Pawlowski, John Silberholz, Alexander Weinstein, and Ying Daisy Zhuo, Massachusetts Institute of Technology, Cambridge; Eddy Chen, Massachusetts General Hospital Cancer Center; Harvard Medical School; Aymen A. Elfiky, Dana-Farber Cancer Institute; Brigham and Women's Hospital; Harvard Medical School, Boston, MA.
  • Hamza Tazi Bouardi
    Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Majed El Hechi
    Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, Massachusetts.
  • Mohamad El Moheb
    Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, Massachusetts.
  • Katerina Giannoutsou
  • Daisy Zhuo
    Interpretable AI, Boston, Massachusetts.
  • Jack Dunn
    Dimitris Bertsimas, Jack Dunn, Colin Pawlowski, John Silberholz, Alexander Weinstein, and Ying Daisy Zhuo, Massachusetts Institute of Technology, Cambridge; Eddy Chen, Massachusetts General Hospital Cancer Center; Harvard Medical School; Aymen A. Elfiky, Dana-Farber Cancer Institute; Brigham and Women's Hospital; Harvard Medical School, Boston, MA.
  • George C Velmahos
    Massachusetts General Hospital & Harvard Medical School, Boston, MA.
  • Haytham M A Kaafarani
    Massachusetts General Hospital & Harvard Medical School, Boston, MA.

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