AI tool for the veterinary platform

Mismatched scheduling that failed to account for a pet’s specific medical needs or specialist availability.

Incomplete or inaccurate intake information requiring additional clarification at check-in.

Increased workload for front-desk staff, reducing the time available for in-person client interactions.

• 24/7 assistance to provide instant preliminary assessments, even during weekends or after hours.
• Smart scheduling to analyze symptoms and recommend time slots with the most relevant specialists.
• Remote pre-screening based on photos and videos taken by the owner to help them assess common issues like vomiting, coughing, allergies, or skin conditions before visiting a clinic.
• Initial recommendations for minor injuries or tick and flea infestations, reducing unnecessary visits.
• Pre-visit guidance with tailored instructions, such as fasting before specific procedures, ensuring pets are properly prepared for their appointments.

• Veterinary staff: veterinarians, technicians, and administrative personnel who manage patient intake, assessments, and scheduling.
• Hospital & clinic management: administrators and support staff optimizing workflow efficiency and resource allocation.
• Pet owners: individuals seeking quick preliminary assessments, appointment scheduling, and guidance on their pets’ health concerns.
• Referring veterinarians & specialists: external professionals using the platform for remote consultations, second opinions, and patient referrals.

1. The development team gathered all available data on different animals, including medical history, symptoms, treatment outcomes, and behavioral patterns from various sources like veterinary records, owner reports, and previous consultations.

2. Since the collected data were often unstructured and inconsistent, the team organized, cleaned, and standardized them into a uniform format. This process ensured that key medical indicators, species-specific details, and treatment protocols could be easily compared and analyzed.

3. All the structured information was stored in a single, scalable data warehouse. This repository allowed real-time access to veterinary insights and enabled the collection of statistics for further analysis.

4. The AI module was trained using this comprehensive dataset to recognize patterns in symptoms, predict potential health issues, and recommend the most relevant specialists or treatments.

5. With the structured data, AI could assess new cases more accurately, suggest optimal appointment scheduling, and provide pet owners with tailored pre-visit instructions, streamlining the entire veterinary consultation process.

6. The team developed an AI tool where pet owners can describe their pet’s condition in detail through text or by uploading videos. The AI system could designed to analyze both written descriptions and visual cues, recognizing symptoms and movement patterns to provide accurate assessments and personalized recommendations efficiently.

1. The system prompts the pet owner to record a video or take a photo of their pet’s condition – whether it’s a dog limping after a walk, a rash on the skin, excessive shedding, or labored breathing– to ensure a clearer assessment. They then describe the issue in their own words through the application form on the telemedicine platform.

2. The AI processes the submitted text, images, and videos, using an extensive database of past cases and clinical records. It evaluates factors such as gait patterns for mobility issues, visible swelling or redness for skin conditions, and other concerns. Unlike human experts, whose video diagnosis scores can vary based on subjective perception, AI applies standardized recognition criteria. For example, it can consistently assess the severity of lameness to ensure an objective analysis.

3. Based on its analysis, the AI provides initial insights into potential causes, whether it’s a mild strain, an early sign of arthritis, or something requiring immediate medical attention. The system also suggests the most relevant specialist and available appointment slots.

4. If a veterinary visit is needed, the AI asks if it’s needed to schedule an appointment with the most appropriate expert at the nearest available time. The system also provides tailored pre-visit instructions, such as keeping the dog from eating before certain exams to ensure the best possible diagnosis and treatment.

5. With every interaction, the AI refines its accuracy by learning from confirmed diagnoses and veterinary feedback, ensuring that future assessments become even more precise.