Artificial intelligence in primary aldosteronism: current achievements and future challenges

Artificial intelligence in primary aldosteronism: current achievements and future challenges

Recent advances in artificial intelligence (AI) are reshaping the diagnostic and therapeutic of primary aldosteronism (PA). For screening, machine learning models integrate multidimensional data to improve the efficiency of PA detection, facilitating large-scale population screening. For diagnosis,...

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Bibliographic Details
Main Authors: Yisi Xu, Benjin Liu, Xuqi Huang, Xudong Guo, Ning Suo, Shaobo Jiang, Hanbo Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Molecular Biosciences
Subjects:
primary aldosteronism
artificial intelligence
machine learning
predictive model
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2025.1660588/full
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https://www.frontiersin.org/articles/10.3389/fmolb.2025.1660588/full

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