Artificial intelligence and machine learning trends in kidney care.

Journal: The American journal of the medical sciences
Published Date: Jan 26, 2024

Abstract

BACKGROUND: The integration of artificial intelligence (AI) and machine learning (ML) in kidney care has seen a significant rise in recent years. This study specifically analyzed AI and ML research publications related to kidney care to identify leading authors, institutions, and countries in this area. It aimed to examine publication trends and patterns, and to explore the impact of collaborative efforts on citation metrics.

Authors

  • Yuh-Shan Ho
    Trend Research Centre, Asia University, Wufeng, Taichung, Taiwan.
  • Tibor Fülöp
    Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi. Electronic address: tiborfulop.nephro@gmail.com.
  • Pajaree Krisanapan
    Division of Nephrology, Department of Internal Medicine, Thammasat University, Pathum Thani, Thailand, 12120.
  • Karim M Soliman
    Medical Services, Ralph H. Johnson VA Medical Center, Charleston, SC, USA; Department of Medicine, Division of Nephrology, Medical University of South Carolina, Charleston, SC, USA.
  • Wisit Cheungpasitporn
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.

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