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.
Authors
- Juan Yu (ORCID: https://orcid.org/0000-0002-2723-3539)
- D. H. Zhu
Institutions
- Xinyang Normal University (CN)
- Hubei University of Education (CN)
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