AI in Veterinary Diagnostic Imaging: A Narrative Review of Applications Across Species and Modalities

A narrative review finds AI models in veterinary imaging are most extensively applied in dogs and mice, proving effective for auto-segmentation of MRI and classification of thoracic/cardiac pathology on radiographs. (exact figures not reported in source).

• Design: Narrative literature review summarizing recent AI applications across MRI, CT, cone-beam CT, ultrasound, and radiography.
• Key Finding: AI models are predominantly developed for dogs and mice, with primary successes in MRI auto-segmentation and radiographic classification of thoracic lesions and cardiac pathologies.
• Limitation: This is a narrative review, not a systematic review or meta-analysis; it lacks a formal quantitative synthesis of diagnostic performance metrics.

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