MULTIMODAL ARTIFICIAL INTELLIGENCE IN COMPANION ANIMAL HEALTHCARE

Artificial intelligence has clear potential to support companion-animal healthcare, and the reviewed literature provides evidence for breed recognition, visual disease screening, body-condition assessment, posture/activity monitoring, vocal-emotion classification, veterinary decision support, reproductive-stage identification and non-invasive physiological monitoring. However, the strongest papers also reveal recurring weaknesses: restricted datasets,uncertain labels, hardware or image-quality dependence, limited cat representation, and substantial performance loss when systems move from controlled to real-world conditions. The real magic happens when the app connects the dots—taking small everyday clues, tracking them over time, and honestly waving a flag when it’s not sure what’s wrong. When things look serious or confusing, it immediately hands the reins over to a licensed vet. We aren't trying to replace vets here; we're building the ultimate tool to back them up.

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