Evaluation and Identification of Spinal Dysfunction Through an Attention-Based Mechanism

1

The study develops an attention-augmented deep neural framework for recognizing and assessing spinal dysfunction effectively.
2

The framework includes the Spinal Dysfunction Attention Recognition Network and an Adaptive Attention-Based Strategy for improved learning.
3

Experimental evaluations show the proposed method significantly enhances recognition accuracy and interpretability over traditional models.
4

The approach balances domain knowledge with data-driven learning, addressing limitations of existing methods in spinal dysfunction assessment.
5

The innovative framework demonstrates high efficiency and adaptability, making it suitable for real-world clinical applications.

1