About this Research Topic
At the time of writing, more than 500 AI-based algorithms have been approved by the FDA for human medicine, most of which are used in radiology and neurology. In veterinary neurology and animal behavioural science, only a limited amount of research on AI has been done so far. Most algorithms presented are merely fragments of usable programs and are not suitable for clinical application. Therefore, ready-to-use applications are rare, yet essential for implementing AI into everyday routine diagnostic work-ups, scientific research, and animal behavioural assessments.
The research topic will help to unite current efforts and provide a collection of articles to address some of the current scientific and behavioural gaps. In the future, a clinician might have a clinical decision support tool that generates accurate estimations of likely outcomes of neurological disease and animal behaviour, combining anamnestic, behavioural, clinical, (clinical) pathology, and imaging information.
We are interested in original research, systematic reviews, and opinion papers not only about the scope and potential of AI for Veterinary Behavior and Neurology, but also about the intersection of AI with the study of animal behaviour, ethical considerations, and pitfalls that the development of AI-generated tools could present. Potential themes therefore include, but are not limited to:
• AI to recognize, monitor, diagnose, or characterise behaviour, neurological deficits or conditions, including a detailed analysis of animal behaviour across a variety of contexts and species.
• AI to assess behavioural states in both clinical and natural environments.
• AI to interpret scientific clinical data sets, such as clinical pathology, omics, imaging, EEG data, and behaviour metrics.
• Ethical and legal considerations when applying or using AI tools in the study of animal behaviour and veterinary medicine.
• Potential of AI to enhance clinical practice in veterinary behavioural medicine, veterinary neurology, and animal behaviour research.
• Potential of AI-enhanced diagnostic and behavioural assessment tools with animals.
Keywords: AI, deep learning, machine learning, dog, cat, veterinary medicine, CNS, PNS, anxiety, fear, behavior
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.