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传统赛马赛前检查中步态不对称性的客观评估:无标记人工智能系统在直线和圈乘条件下的应用

Objective Evaluation of Gait Asymmetries in Traditional Racehorses During Pre-Race Inspection: Application of a Markerless AI System in Straight-Line and Lungeing Conditions.

作者信息

Meistro Federica, Ralletti Maria Virginia, Rinnovati Riccardo, Spadari Alessandro

机构信息

Department of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, 40064 Ozzano dell'Emilia, Italy.

出版信息

Animals (Basel). 2025 Jun 18;15(12):1797. doi: 10.3390/ani15121797.

Abstract

Subtle locomotor asymmetries are common in horses and may go unnoticed during routine pre-race clinical inspections, particularly when based solely on subjective evaluation. This study aimed to describe vertical head and pelvic movement asymmetries in racehorses that passed official pre-race inspections at a traditional racing event. Twenty-four horses were analysed using a markerless AI-based gait analysis system while trotting in-hand and during lungeing in both directions. Asymmetry parameters (HDmin, HDmax, PDmin, and PDmax) were extracted from video recordings, with values ≥0.5 considered clinically relevant. Vertical asymmetries were detected in 71% of horses during straight-line evaluation and in 79% during at least one lungeing direction. Some horses showed relevant asymmetries only under specific movement conditions, underscoring the complementary role of straight-line and lungeing assessments in comprehensive gait evaluation. These results suggest that objective gait analysis could enhance pre-race veterinary assessments, especially in traditional racing, where horses are subjected to significant biomechanical stress, including variable surface properties and repetitive directional loading. In such complex and dynamic environments, relying solely on visual assessment may result in the underdiagnosis of subtle locomotor alterations. The AI-based tools offer potential to improve the detection of subtle irregularities and support evidence-based decisions in performance horse management. Further investigations are warranted to validate the clinical relevance of currently adopted asymmetry thresholds, refine their diagnostic value, and support their integration into standardized pre-race evaluation protocols.

摘要

细微的运动不对称在马匹中很常见,在赛前常规临床检查中可能未被注意到,尤其是仅基于主观评估时。本研究旨在描述在一场传统赛马赛事中通过官方赛前检查的赛马的头部垂直和骨盆运动不对称情况。使用基于人工智能的无标记步态分析系统对24匹马进行了分析,包括牵遛小跑和双向绕圈运动时的情况。从视频记录中提取不对称参数(HDmin、HDmax、PDmin和PDmax),值≥0.5被认为具有临床相关性。在直线评估中,71%的马匹检测到垂直不对称,在至少一个绕圈方向上,79%的马匹检测到垂直不对称。一些马匹仅在特定运动条件下表现出相关不对称,这突出了直线和绕圈评估在全面步态评估中的互补作用。这些结果表明,客观步态分析可以加强赛前兽医评估,特别是在传统赛马中,马匹承受着巨大的生物力学压力,包括变化的地面特性和重复的方向负荷。在如此复杂和动态的环境中,仅依靠视觉评估可能会导致对细微运动改变的漏诊。基于人工智能的工具具有改善细微不规则情况检测的潜力,并为竞技马匹管理中的循证决策提供支持。有必要进行进一步研究,以验证当前采用的不对称阈值的临床相关性,完善其诊断价值,并支持将其纳入标准化的赛前评估方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8c4/12189307/94d5332aa433/animals-15-01797-g001.jpg

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