The future of artificial intelligence in clinical nutrition.

Journal: Current opinion in clinical nutrition and metabolic care
Published Date: Aug 29, 2023

Abstract

PURPOSE OF REVIEW: Artificial intelligence has reached the clinical nutrition field. To perform personalized medicine, numerous tools can be used. In this review, we describe how the physician can utilize the growing healthcare databases to develop deep learning and machine learning algorithms, thus helping to improve screening, assessment, prediction of clinical events and outcomes related to clinical nutrition.

Authors

  • Pierre Singer
    Department of General Intensive Care and Institute for Nutrition Research, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.
  • Eyal Robinson
    Critical Care Department and Institute for Nutrition Research, Rabin Medical Center, Beilinson Hospital, affiliated to the Sackler School of Medicine, Tel Aviv University, Tel Aviv.
  • Orit Raphaeli
    Industrial Engineering and Management, Ariel University, Israel; General Intensive Care Department and Institute for Nutrition Research, Rabin Medical Center, Beilinson Hospital. Affiliated to Sackler School of Medicine, Tel Aviv University, Israel. Electronic address: oritraphaeli@gmail.com.

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