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Current progress in artificial intelligence-assisted medical image analysis for chronic kidney disease: A literature

Dan Zhao1, Wei Wang2, Tian Tang1

  • 1Department of Nephrology, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.

Computational and Structural Biotechnology Journal
|June 19, 2023
PubMed

Insights

Artificial intelligence (AI) enhances medical imaging for chronic kidney disease (CKD) diagnosis. AI tools analyze subtle imaging features, aiding early detection, assessment, and prognosis of CKD.

Area of Science:

  • Nephrology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Chronic kidney disease (CKD) is a global health issue with increasing prevalence.
  • Hypertension and diabetes are major risk factors contributing to CKD.
  • Medical imaging is crucial for non-invasively detecting renal structural abnormalities in CKD.

Purpose of the Study:

  • To provide an overview of AI-assisted medical image analysis in CKD diagnosis and management.
  • To highlight the role of AI in identifying subtle imaging characteristics for CKD.
  • To explore AI's potential in improving early detection and prognostic evaluation of CKD.

Main Methods:

  • Review of recent studies on AI applications in medical image analysis for CKD.
  • Focus on radiomics- and deep learning-based AI algorithms.
  • Analysis of AI's utility in identifying macroscopic and microscopic renal abnormalities.

Main Results:

  • AI-assisted medical imaging shows effectiveness as a clinical support tool for CKD.
  • AI algorithms improve early detection, pathological assessment, and prognostic evaluation.
  • AI aids in the identification and management of various CKD forms, including autosomal dominant polycystic kidney disease.

Conclusions:

  • AI-assisted medical image analysis offers significant potential for diagnosing and managing CKD.
  • AI can augment clinicians' ability to detect and assess CKD through imaging.
  • Further integration of AI in medical imaging is promising for advancing CKD care.

Keywords:
Artificial intelligenceChronic kidney diseaseDeep learningRadiomics

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