Artificial intelligence in predicting chronic kidney disease prognosis. A systematic review and meta-analysis.

ABSTRACT:

Background

Chronic kidney disease (CKD) is a common condition that can lead to serious health complications. Artificial Intelligence (AI) has shown the potential to improve the prediction of CKD progression, offering increased accuracy over traditional methods. Therefore, this systematic review and meta-analysis examine the diagnostic performance of various AI models in predicting CKD.

Method

Search was performed in different databases for studies reporting the diagnostic accuracy of AI-based prediction models for the progression of CKD. Meanwhile, pre-defined eligibility criteria were used for the selection of studies. Pooled sensitivity, specificity, and area under curve (AUC) were calculated utilizing Meta-disc 1.4. Quality assessment was performed using the prediction mo

SUBMITTER: Pan Q 

PROVIDER: S-EPMC11636155 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature