Nareed Hashem Farhat
ABSTRACT
Neurological disorders are among the most severe and difficult-to-treat pathological conditions in veterinary medicine, AI and computational approaches have great potential for both clinical care and scientific research by detecting subtle changes (e.g. behavior or gait patters) that may indicate a gradual progression of a neurological disorder, hopefully early detection will enable effective medical countermeasures that could change the course of the disease. In this research we focus on canine ataxia, so far, the localization of the lesion in the neurological examination can only be concluded by a subjective evaluation of the movement coordination in relation to other accompanying symptoms of the patient by veterinary evaluation. We wish to explore computational approaches for automatic analysis of animal movement in the context of objective evaluation of coordination impairments.
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