Unveiling the utility of artificial intelligence for prediction, diagnosis, and progression of diabetic kidney disease: an evidence-based systematic review and meta-analysis.

Journal: Current medical research and opinion
PMID: 39474800

Abstract

OBJECTIVE: The purpose of this study was to conduct a systematic investigation of the potential of artificial intelligence (AI) models in the prediction, detection of diagnostic biomarkers, and progression of diabetic kidney disease (DKD). In addition, we compared the performance of non-logistic regression (LR) machine learning (ML) models to conventional LR prediction models.

Authors

  • Sagar Dholariya
    Department of Biochemistry, All India Institute of Medical Sciences, Rajkot, India.
  • Siddhartha Dutta
    Department of Pharmacology, All India Institute of Medical Sciences, Rajkot, India.
  • Amit Sonagra
    Department of Biochemistry, All India Institute of Medical Sciences, Rajkot, India.
  • Mehul Kaliya
    General Medicine, Department of General Medicine, All India Institute of Medical Sciences, Rajkot, India.
  • Ragini Singh
    Department of Biochemistry, All India Institute of Medical Sciences, Rajkot, India.
  • Deepak Parchwani
    Department of Biochemistry, All India Institute of Medical Sciences, Rajkot, India.
  • Anita Motiani
    Department of Biochemistry, All India Institute of Medical Sciences, Rajkot, India.

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