A Dual-Use Framework for Clinical Gait Analysis: Attention-Based Sensor Optimization and Automated Dataset Auditing

arXiv — cs.LG•Wednesday, November 5, 2025 at 5:00:00 AM

A recently developed framework for clinical gait analysis integrates wearable sensors with artificial intelligence to enhance the management of neurological and orthopedic conditions. This approach focuses on optimizing sensor usage through attention-based methods while simultaneously addressing hidden biases within gait datasets, thereby improving assessment accuracy. The framework's dual-use design not only facilitates more precise gait evaluations but also automates dataset auditing to ensure data integrity. Supported claims highlight the framework's effectiveness in clinical settings, reflecting its potential to advance gait analysis practices. Related studies within the past 90 days corroborate these features and benefits, emphasizing the framework's purpose and positive impact. By combining sensor optimization with AI-driven auditing, this innovation represents a significant step forward in clinical diagnostics and patient care.

— via World Pulse Now AI Editorial System

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