Combining multimodal inputs (images + symptoms) with structured workflow management and safety checks significantly improves disease screening accuracy compared to image-only predictions, and this pattern applies beyond veterinary use.
VetClaw is an edge-cloud system that helps veterinarians screen animals for diseases by combining camera images with symptom descriptions. It uses a vision-language model on a server and intelligent workflow management to collect evidence, validate inputs, apply safety rules, and alert users when cases need escalation—turning a simple image classifier into a practical diagnostic tool.