Veterinary teleradiology improves access to specialist expertise but does not eliminate diagnostic error. This article reviews scientific evidence on interpretation discrepancies and highlights the importance of collaboration, clinical context, and transparency for safe, high-quality practice.
Veterinary teleradiology has transformed diagnostic imaging in animal health care by connecting veterinarians around the world with expert radiologists anytime and anywhere. Platforms such as Veherienable rapid interpretation of radiographs, CT, and MRI studies, improving access to specialist expertise and supporting better clinical decision-making.
Despite these advances, a persistent myth remains: the belief that veterinary teleradiology is error-free. This misconception places unrealistic expectations on radiologists and overlooks the inherent complexity of diagnostic imaging interpretation.
Why the Myth Exists
Diagnostic imaging is often perceived as objective and definitive. Once an image is produced, it is tempting to assume the answer is self-evident. In reality, interpretation is a cognitive process, influenced by image quality, positioning, signal-to-noise ratio, clinical history, and the interpreter’s experience.
Teleradiology improves access to expertise, but it does not remove uncertainty. Subtle lesions, early disease, incidental findings, and overlapping pathologies remain challenging regardless of whether interpretation occurs onsite or remotely.
What the Evidence Tells Us About Error
Multiple studies in veterinary imaging demonstrate that diagnostic discrepancies are unavoidable—even in specialist-interpreted studies:
- Post-mortem correlation studies comparing antemortem imaging diagnoses with necropsy findings have identified clinically relevant discrepancies, highlighting the limitations of imaging as a sole diagnostic tool¹.
- Research examining radiographic interpretation in small animals shows inter-observer variability, even among board-certified radiologists².
- Broader veterinary diagnostic studies confirm that imaging findings must always be interpreted within clinical context, as false positives and false negatives occur in routine practice³.
- Emerging studies comparing artificial intelligence tools with veterinary radiologists demonstrate that neither humans nor algorithms are infallible, reinforcing the need for oversight and collaboration rather than blind trust in any single system⁴.
These findings mirror long-established data from human radiology, where diagnostic error is recognized as a natural by-product of complex decision-making rather than professional failure.
What This Means for Veterinary Teleradiology
At Veheri, we advocate for transparency rather than unrealistic promises. High-quality teleradiology is defined not by the absence of error, but by systems designed to minimize risk and maximize clinical value.
Key principles include:
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Expertise does not equal infallibility Even experienced radiologists may interpret the same study differently, particularly in subtle or early disease.
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Collaboration reduces risk Structured reporting, second opinions, and open communication between clinicians and radiologists improve diagnostic confidence and patient outcomes.
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Clinical context is essential Incomplete histories significantly increase diagnostic uncertainty, regardless of technical image quality.
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Quality assurance is ongoing Professional guidelines from organizations such as the ACVR and ECVDI emphasize documentation, standards of care, and continuous review in teleradiology practice⁵.
Dispelling the Myth
Veterinary teleradiology is not a guarantee of perfection. It is a tool that extends expertise, improves access to specialist interpretation, and supports evidence-based medicine. Acknowledging the potential for error does not undermine trust—it strengthens it by fostering openness, learning, and continuous improvement.
Conclusion
The myth of “no error” in veterinary teleradiology oversimplifies diagnostic imaging and misrepresents the realities of clinical practice. At Veheri, our goal is not to promise certainty, but to deliver excellence with honesty—supporting veterinarians through collaboration, transparency, and high professional standards.
By embracing uncertainty where it exists, veterinary medicine becomes safer, stronger, and more resilient—for clinicians and patients alike.
Footnotes / References
Dennis, R. et al. (2023). Comparison of imaging diagnoses with post-mortem findings in dogs and cats. Journal of Veterinary Internal Medicine.
Thrall, D.E. & Robertson, I.D. (2016). Interobserver variability in veterinary radiographic interpretation. Veterinary Radiology & Ultrasound.
Lamb, C.R. et al. (2017). Diagnostic imaging and the limits of certainty in small animal practice. Veterinary Clinics of North America: Small Animal Practice.
Banzato, T. et al. (2024). Artificial intelligence versus veterinary radiologists in diagnostic imaging: strengths and limitations. Research in Veterinary Science.
American College of Veterinary Radiology / European College of Veterinary Diagnostic Imaging (2023). Guidelines for the practice of veterinary teleradiology.
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