Preparing clinical research data for artificial intelligence readiness: insights from the National Institute of Diabetes and Digestive and Kidney Diseases data centric challenge.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Jul 24, 2025

Abstract

OBJECTIVES: The success of artificial intelligence (AI) and machine learning (ML) approaches in biomedical research depends on the quality of the underlying data. The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Data Centric Challenge was designed to address the challenge of making raw clinical research data AI ready, with a focus on type 1 diabetes studies available in the NIDDK Central Repository (NIDDK-CR). This paper aims to present a structured methodology for enhancing the AI readiness of clinical datasets.

Authors

  • Marcin J Domagalski
    Department of Molecular Physiology and Biological Physics, University of Virginia, 1340 Jefferson Park Avenue, Charlottesville, VA, 22908, USA.
  • Yin Lu
    Department of Urology, Chinese People's Liberation Army General Hospital, Beijing, 100039 China.
  • Alexander Pilozzi
    Health Analytics, Research and Technology (HART), ICF, Rockville, MD 20850, United States.
  • Alicia Williamson
    Health Analytics, Research and Technology (HART), ICF, Rockville, MD 20850, United States.
  • Padmini Chilappagari
    Health Analytics, Research and Technology (HART), ICF, Rockville, MD 20850, United States.
  • Emma Luker
    Health and Life Sciences, Booz Allen Hamilton, Inc., McLean, VA 22102, United States.
  • Courtney D Shelley
    Health and Life Sciences, Booz Allen Hamilton, Inc., McLean, VA 22102, United States.
  • Anya Dabic
    Health and Life Sciences, Booz Allen Hamilton, Inc., McLean, VA 22102, United States.
  • Michael A Keller
    Health and Life Sciences, Booz Allen Hamilton, Inc., McLean, VA 22102, United States.
  • Rebecca M Rodriguez
    National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD 20892, United States.
  • Sharon Lawlor
    National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD 20892, United States.
  • Ratna R Thangudu
    Health Analytics, Research and Technology (HART), ICF, Rockville, MD 20850, United States.

Keywords

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