Use Cases

DiagnoseAI · Veterinary

Ask a patient question.
Get the answer instantly.

Clinicians cross-referencing patient records to answer a single question lose minutes they don't have. DiagnoseAI provides a conversational interface over patient data — ask in plain language, get a precise answer drawn from the actual record. No cross-referencing, no scrolling, no guessing.

LLM Clinical Decision Support Veterinary Patient Data

Overview

DiagnoseAI gives veterinarians a conversational interface to their patient data. Ask questions in plain language, get answers drawn directly from the patient's actual records—no searching through tabs, no manual cross-referencing.

Capabilities

What it does

Lameness could suggest orthopedic issues like hip dysplasia.
What treatment would you suggest?

Provides a conversational chat interface grounded in real patient data

From the record

Initial Complaint
History
Current Medications

Answers clinical questions using visit history, lab results, diagnoses, medications, and notes

Relevant context

Surfaces relevant context automatically so clinicians spend less time hunting for information

Appa Active

Canine · Saint Bernard

3 Years 9 Months · 90 kg

Supports faster differential diagnosis by putting the full patient picture in one conversation

Integration

DiagnoseAI lives inside the PIMS via a single embed — no infrastructure change for the practice. Skills handle in-conversation logic like dosage calculations; Agents draft post-consult outputs like discharge instructions. Patient scope is enforced at retrieval — every answer is drawn from the verified record, never from the open internet.

Safety

Assists the clinician. Doesn't replace them.

DiagnoseAI is a clinical assistant, not a clinical decision-maker. Every suggestion is a starting point for the veterinarian, who reviews, weighs, and decides. The platform is auditable end-to-end — every conversation, every retrieval, every answer is logged and attributable for the practice and its compliance teams.

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The 14-day trial runs on your real library, not a sandbox. Bring your contracts, manuals, or frameworks — and see how Dokko reads them.