Exploring AI-Based Knowledge Management Platforms in Biomechanics: A Comprehensive Review

In biomechanics, effective knowledge management is crucial for advancing research, clinical outcomes, and interdisciplinary collaboration. This review explores the role of artificial intelligence (AI)-based knowledge management platforms in enhancing biomechanics knowledge discovery, organization, and decision support. By leveraging techniques such as natural language processing, machine learning, and knowledge graph-based reasoning, AI-based platforms enable efficient extraction, categorization, and contextual analysis of complex biomechanical data. Thispaper identifies key trends, evaluates features of current AI-based platforms, and discusses challenges like data quality and integration limitations. Future directions include explainable AI, federated learning, and integration with Internet of Things (IoT) devices to further enhance biomechanics research and application.