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Imaging-based deep learning in kidney diseases: recent progress and future prospects.

Meng Zhang1,2,3, Zheng Ye1, Enyu Yuan1

  • 1Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China.

Insights Into Imaging
|February 15, 2024
PubMed
Summary
This summary is machine-generated.

Deep learning using medical imaging aids in diagnosing and managing kidney diseases. This technology offers precise support for both neoplastic and non-neoplastic renal conditions.

Keywords:
Deep learningKidney diseasesMedical imagingNon-neoplastic renal diseaseRenal tumor

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Nephrology

Background:

  • Kidney diseases encompass neoplastic and non-neoplastic conditions.
  • Medical imaging analysis is crucial for disease diagnosis and management.
  • Deep learning offers advanced data mining capabilities for medical imaging.

Purpose of the Study:

  • To review the methodology of imaging-based deep learning.
  • To explore recent clinical applications in kidney diseases.
  • To discuss challenges and future prospects of this technology.

Main Methods:

  • Review of current literature on imaging-based deep learning in nephrology.
  • Analysis of applications in organ segmentation, lesion detection, diagnosis, surgical planning, and prognosis.
  • Discussion of data-related challenges and ethical considerations.

Main Results:

  • Imaging-based deep learning is increasingly applied to neoplastic and non-neoplastic kidney diseases.
  • The technology enhances accuracy in delineation, diagnosis, and evaluation of renal conditions.
  • Key challenges include data balance, heterogeneity, size, interpretability, and bias assessment.

Conclusions:

  • Imaging-based deep learning shows significant potential for supporting diagnosis and management of kidney diseases.
  • Addressing data challenges and ethical concerns is vital for future development.
  • This review aims to guide urologists, nephrologists, and radiologists in utilizing this technology.