AI imaging diagnostics is a supportive technology that uses artificial intelligence to analyze X-rays, CT scans, and other imaging data to predict the likelihood of disease. We’ve outlined its useful applications and limitations for pet owners to keep in mind.

| Item | X-ray | CT | Ultrasound |
|---|---|---|---|
| AI utilization | High | Moderate | Low |
| Main applications | Automated analysis of chest and skeleton | Evaluation of intrathoracic structures and tumor volume | Some cardiac measurements |
| Reduced examination time | True | True | False |
| Veterinarian interpretation required | True | True | True |
A summary of adoption cases at domestic animal hospitals as of 2025. For evaluating disc and spinal cord lesions, MRI is superior to CT.

Why you shouldn’t rely solely on AI results
The AI-assisted diagnostic result falls into the "suspicious" category. Even with similar imaging findings, tumors, inflammation, and normal variations can appear quite alike. If your pet shows clinical symptoms, further testing is necessary even if the AI flags the result as "normal." Conversely, an "AI suspicion" alert does not necessarily indicate a serious condition. Please rely more on your veterinarian’s explanation than on the results screen alone.


A veterinarian who majored in veterinary medicine at Khon Kaen University, Thailand, and completed the IVSA program at North Carolina State University in the United States. Drawing on clinical experience at animal hospitals, he works in the pet healthcare field and is dedicated to building a digital care environment that connects pet parents with veterinarians.
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[1] Advanced Monitoring for Small Animal Emergency and Critical Care, 2nd Ed
[2] Notes on Canine Internal Medicine, 4th Ed
[3] BSAVA Manual of Canine and Feline Clinical Pathology, 3rd Ed