Comparison of radiological interpretation made by veterinary radiologists and state-of-the-art commercial AI software for canine and feline radiographic studies

Our findings suggest that AI performs almost as well as the best veterinary radiologist in all settings of descriptive radiographic findings. However, its strengths lie more in confirming normality than detecting abnormalities, and it does not provide differential diagnoses. Therefore, the broader use of AI could reliably increase diagnostic availability but requires further human input. Given the unique strengths of human experts and AI and the differences in sensitivity vs. specificity and low-ambiguity vs. high-ambiguity settings, AI will likely complement rather than replace human experts.

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Publication Details

Journal
Frontiers in Veterinary Science
Published
2025-02-21
DOI
https://doi.org/10.3389/fvets.2025.1502790
Citations
9
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
12.24

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article

Comparison of radiological interpretation made by veterinary radiologists and state-of-the-art commercial AI software for canine and feline radiographic studies

Tobias Schwarz, Axel Ockenfels, Peter Cramton, Chavdar Chernev et al.
9 citations
Frontiers in Veterinary Science
Radiomics and Machine Learning in Medical Imaging
12.24
article

Comparison of radiological interpretation made by veterinary radiologists and state-of-the-art commercial AI software for canine and feline radiographic studies

Tobias Schwarz, Axel Ockenfels, Peter Cramton, Chavdar Chernev, Yero S. Ndiaye
article en
9 citations

Abstract

Our findings suggest that AI performs almost as well as the best veterinary radiologist in all settings of descriptive radiographic findings. However, its strengths lie more in confirming normality than detecting abnormalities, and it does not provide differential diagnoses. Therefore, the broader use of AI could reliably increase diagnostic availability but requires further human input. Given the unique strengths of human experts and AI and the differences in sensitivity vs. specificity and low-ambiguity vs. high-ambiguity settings, AI will likely complement rather than replace human experts.

Frontiers in Veterinary ScienceVol. 12
University of Maryland, Baltimore (US), Roslin Institute (GB), University of Cologne (DE), University of Veterinary Medicine Hannover, Foundation (DE), Max Planck Institute for Behavioral Economics (DE), University of Edinburgh (GB)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 1%
Radiomics and Machine Learning in Medical Imaging
12.24
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