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Related Concept Videos

Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and the...

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Artificial Intelligence-Assisted Interpretation of Veterinary Radiographs: Opportunities, Risks, and Best Practices

Parminder S Basran1, Ryan Appleby2, Ian Porter3

  • 1Section of Medical Oncology, Department of Clinical Sciences, Cornell University, Ithaca, NY 14853, USA.

The Veterinary Clinics of North America. Small Animal Practice
|May 18, 2026
PubMed
Summary

Artificial intelligence (AI) is a valuable support tool for veterinary radiology, not a replacement for professional judgment. Veterinarians remain accountable for all decisions, emphasizing transparency and best practices for AI integration.

Keywords:
Artificial intelligenceClinical decision supportDeep learningDiagnostic imagingProfessional accountabilityVeterinary radiology

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Published on: October 3, 2016

Area of Science:

  • Veterinary Medicine
  • Radiology
  • Artificial Intelligence Applications

Background:

  • The integration of artificial intelligence (AI) into veterinary diagnostics is rapidly evolving.
  • AI tools offer potential benefits for interpreting radiological images.
  • Ethical and practical considerations for AI implementation in clinical practice are paramount.

Purpose of the Study:

  • To define the role of AI in veterinary radiological image interpretation.
  • To outline essential best practices for the successful and ethical implementation of AI in veterinary practice.
  • To emphasize the importance of transparency and professional accountability when using AI decision support tools.

Main Methods:

  • This content is based on established principles of veterinary practice and AI ethics.
  • It synthesizes expert recommendations for integrating AI into diagnostic workflows.
  • Focuses on the veterinarian's role, client communication, and quality assurance.

Main Results:

  • AI should function as a decision support tool, augmenting rather than replacing veterinarian judgment.
  • Veterinarians maintain ultimate responsibility for diagnoses and treatment plans.
  • Transparency regarding AI functionality and limitations is crucial for client trust.

Conclusions:

  • Successful AI adoption in veterinary radiology requires comprehensive training and adherence to quality assurance protocols.
  • Maintaining traditional diagnostic skills alongside AI use is vital.
  • AI implementation necessitates clear communication and ethical considerations, ensuring it serves as a tool to enhance, not supplant, veterinary expertise.