Pose estimation for health data analysis: advancing AI in neuroscience and psychology

Together, these innovations provide a unified, scalable, and interpretable pipeline for tasks such as disease prediction, treatment optimization, and public health monitoring. Empirical evaluations demonstrate superior performance over existing methods, with enhanced interpretability and alignment with clinical principles. This work represents a step forward in leveraging AI to address the complexities of health data in neuroscience and psychology, advancing both research and clinical applications.

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Publication Details

Journal
Frontiers in Neurology
Published
2025-08-11
DOI
https://doi.org/10.3389/fneur.2025.1596408
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Pose estimation for health data analysis: advancing AI in neuroscience and psychology

Juan Yu, D. H. Zhu
Frontiers in Neurology
Anomaly Detection Techniques and Applications
article

Pose estimation for health data analysis: advancing AI in neuroscience and psychology

Juan Yu, D. H. Zhu
article en

Abstract

Together, these innovations provide a unified, scalable, and interpretable pipeline for tasks such as disease prediction, treatment optimization, and public health monitoring. Empirical evaluations demonstrate superior performance over existing methods, with enhanced interpretability and alignment with clinical principles. This work represents a step forward in leveraging AI to address the complexities of health data in neuroscience and psychology, advancing both research and clinical applications.

Frontiers in NeurologyVol. 16
Xinyang Normal University (CN), Hubei University of Education (CN)
Openalex Percentile: Top 89%
Anomaly Detection Techniques and Applications
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