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Enhancing AI Accessibility in Veterinary Medicine: Linkin...
Chun Yin Kong, Picasso Vasquez, Makan Farhoodimoghadam, Chris Br · 2024-10-19 · via cs.LG updates on arXiv.org

In the rapidly evolving landscape of veterinary healthcare, integrating machine learning (ML) clinical decision-making tools with electronic health records (EHRs) promises to improve diagnostic accuracy and patient care. However, the seamless integration of ML classifiers into existing EHRs in veterinary medicine is frequently hindered by the rigidity of EHR systems or the limited availability of IT resources. To address this shortcoming, we present Anna, a freely-available software solution that provides ML classifier results for EHR laboratory data in real-time.

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