Our first publication and big announements are coming!

Parsing Veterinary Text With A Human Medical Model

We’re thrilled to share the findings from our latest research published in Veterinary and Comparative Oncology, titled: "Precision in Parsing: Evaluation of an Open-Source Named Entity Recognizer (NER) in Veterinary Oncology."

This study explores the exciting potential of artificial intelligence (AI) in veterinary medicine, specifically the application of Named Entity Recognition (NER) to analyze unstructured veterinary oncology medical records. Using the Bio-Epidemiology NER (BioEN), an open-source AI tool developed for human medical text, we evaluated its ability to identify and categorize entities within veterinary records, comparing its performance to human annotators.

Key Highlights:

• Why It Matters: Veterinary teams generate extensive clinical data, and tools like NER could streamline data extraction, reducing the manual workload for veterinary teams and opening new possibilities for summarization, clinical trial matching, treatment optimization, and more.

• Findings: While the BioEN tool demonstrated promise in parsing text quickly and categorizing entities, it faced challenges with veterinary-specific terminologies, such as surgical descriptors and bloodwork metrics, emphasizing the need for tailored veterinary AI solutions.

• Impact: This work highlights the potential of leveraging AI for more efficient clinical decision-making and the importance of developing veterinary-specific language tools.

This study is a step forward in bridging the gap between AI applications in human healthcare and veterinary medicine, fostering a future where data-driven decisions enhance patient outcomes in veterinary oncology.

To learn more, access the full study here or explore the code and resources on our GitHub repository.

What’s next for us?

Our recently published study on Named Entity Recognition (NER) in veterinary oncology demonstrated the potential of AI to transform how we handle unstructured medical records, but also highlighted the failure points of current AI tools in the market. But we're not stopping there.

We’re thrilled to introduce Hachiko, the first of its kind—an AI-powered medical record summarizer built specifically for veterinary medicine. Unlike current general AI solutions, Hachiko was developed with a veterinary-specific pipeline, designed to ensure unparalleled clinical utility and relevance for clinical teams.

Inspired by the loyalty and devotion of Hachiko, the famous Japanese dog who waited every day for his owner who never returned; we understand that long hours and demanding workflows often mean late nights at the clinic

This groundbreaking tool is set to revolutionize how veterinary teams manage medical records, allowing more time to focus on what matters most—patient care & getting home on time to take care of yourself.

Change is coming. 🐾

Sign up to hear more and prepare for launch in January 2025 🚀