Artificial Intelligence-Based Hospital Malnutrition Screening: Validation of a Novel Machine Learning Model.

Journal: Applied clinical informatics
Published Date: Jun 16, 2025

Abstract

BACKGROUND: Despite its morbidity, mortality, and financial burden, in-hospital malnutrition remains underdiagnosed and undertreated. Artificial intelligence offers a promising clinical informatics solution for identifying malnutrition risk and one that can be coupled with clinician-delivered patient care.

Authors

  • Adam M Bernstein
    HealthLeap, San Francisco, United States.
  • Pierre Janeke
    HealthLeap, San Francisco, United States.
  • Richard V Riggs
    Cedars-Sinai Health System, Los Angeles, United States.
  • Emily Burke
    Cedars-Sinai Health System, Los Angeles, United States.
  • Jemima Meyer
    HealthLeap, San Francisco, United States.
  • Meagan F Moyer
    Department of Digital Health Care Integration, Stanford Health Care, Stanford, California, United States of America.
  • Keiy Murofushi
    HealthLeap, San Francisco, United States.
  • Ray A Botha
    HealthLeap, San Francisco, United States.
  • Josiah E M Meyer
    HealthLeap, San Francisco, United States.

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