Vet Clin Path Professor: Dr. Candice Chu

07/26/2026

New website alert!

Research, publications, veterinary AI education resources, VetClinPathGPT, and speaking topics, all in one place.

Take a look and tell me what is missing. I would love to hear from you!

07/16/2026

Celebrating the first publication of my PhD student, Yumi Chang, in Veterinary Pathology. 🎉

“Applying artificial intelligence to automate clinical data extraction from veterinary electronic health records: A practical guidance and comparative scoping review”

Veterinary EHRs hold enormous research value, but almost all of it is locked inside unstructured free text.

Turning that text into structured, analyzable data is still slow, manual, and standard-free. In this new open-access review, we asked: how are AI tools actually being used to automate clinical data extraction from unstructured EHRs in veterinary and human medicine?

👉 We screened 5,796 original research papers across PubMed, CAB Abstracts, Web of Science, and ACL Anthology

👉 Included 54 studies (23 veterinary, 31 human) on AI-based clinical data extraction

👉 Compared where the two fields diverge: veterinary work leans on large supervised datasets, while human medicine increasingly uses prompt-based LLMs that need far fewer annotated examples

In this article, we provided:

🎯 A step-by-step framework covering data preparation, platform and privacy decisions, and prompt engineering, plus a worked case study extracting 62 variables from canine pancreatitis records (Fig. 5)

🎯 An annotated prompt template built from the components that actually improved performance in the literature (Table 6)

This article is written specifically to help veterinary researchers adopt these tools without heavy coding or infrastructure.

07/11/2026

Getting ready for !

American Veterinary Medical Association (AVMA)

Don’t miss out my AI talk “Less pAIn, More gAIn: A Starter Guide to AI Literacy for Veterinary Professionals” on July 12 (Sunday) 1:00PM at Room 257. ❤️

07/07/2026

I’m speaking at AVMA Convention 2026 in Anaheim!

If AI feels more like pAIn than gAIn right now, this session is for you.

Less pAIn, More gAIn: A Starter Guide to AI Literacy for Veterinary Professionals (hosted by IDEXX)

🗓️ Sunday, July 12
🕐 1:00 - 1:50 PM PDT
📍 Room 257, Anaheim Convention Center

What you’ll walk away with:
✅ What AI literacy actually means for veterinary professionals (no coding required)
✅ How to critically evaluate AI tools before bringing them into your practice
✅ Practical first steps to turn AI anxiety into AI confidence

Whether you’re AI-curious or AI-skeptical, come join the conversation.

See you in Anaheim! 🌴

06/29/2026

Dr. Mary Nabity and I were invited by the Taiwan Academy of Veterinary Internal Medicine to deliver a 2-day workshop on cytology, urinalysis, and renal biomarkers. More than 200 general practitioners and veterinarians with special interests in nephrology attended our talks.

Inviting Dr. Nabity, my PhD advisor and current colleague, has been a long-term dream of mine, and I feel fortunate to have this opportunity to express my gratitude for her guidance and friendship. ❤️

06/01/2026

My PhD student, Dr. Yumi Chang, will present our study using VetRec to process medical records in The Dog Aging Project at the American College of Veterinary Internal Medicine (ACVIM) Forum on June 11.

From 30 minutes to seconds. ⏱️🐾

The Dog Aging Project and Texas A&M had thousands of body-weight records buried inside unstructured veterinary PDFs — each one taking 15–30 minutes to extract by hand.

VetRec helped turn 59 messy PDF records into 559 structured data pairs in seconds.
Next stop: 100K+ records.

This is what AI-powered record extraction can unlock for veterinary research: less time buried in charts; more time focused on discovery.

Full presentation at ACVIM ’26 on June 11. 👀

Read the case study → https://zurl.co/mtQJD

Vet Clin Path Professor: Dr. Candice Chu Texas A&M College of Veterinary Medicine & Biomedical Sciences The Dog Aging Project

05/20/2026

[Recruiting Biomedical Sciences MS-Thesis Students]

My lab is offering fully funded, salaried 2-year Master's positions for proactive DVM students interested in applying AI to veterinary medicine.

The lab currently includes two PhD students and two master 's-level research assistants. Most members have recently submitted first-author papers and delivered oral presentations at ACVIM and ACVP, and have received awards such as the Texas A&M CVM Merit Fellowship, Lechner Scholarship, ASVCP Share the Future Presentation Grant, and TAMIDS Student Travel Grant.

Lab members also have opportunities to participate in anatomic and clinical pathology rounds and to become familiar with the operations of the International Veterinary Renal Pathology Service (IVRPS).

(Please see the link in comments for more information.)

05/19/2026

Ever since I was a veterinary student, Veterinary Clinics of North America: Small Animal Practice has been my go-to source for cutting-edge clinical knowledge.

Little did I know that one day I would be invited to contribute the article "Computer Vision and Deep Learning in Small Animal Cytology and Slide Review."

In this invited review, I cover the fundamentals of computer vision for veterinary cytology, current scientific progress, and guidelines for publication.

The regulatory section examines how 9 veterinary organizations address the use of veterinary AI tools in their position or policy statements.

The article also covers industrial implementation and the importance of AI literacy and continuing education for veterinarians.

See the comment for the limited-time free access link.

05/15/2026

Sharing the Mandarin course series from the veterinary pathology organization, Davis-Thompson Foundation.


There are currently four topics, all scheduled for Saturday mornings 8:00-9:30 AM Taiwan time.

1. 6/6/26 Common Cutaneous Neoplasms in Dogs and Cats, Ji-Hang Yin

Focused on epithelial/round/mesenchymal cell tumors, with emphasis on how to diagnose and grade them.

2. 10/3/26 Cytology-Histopathology Correlation, Ji-Hang Yin and Zi-An (Alan) Yu

3. 1/9/27 Pathology of Common and Uncommon Bovine Respiratory Diseases, Chia-Ching (Rory) Chien

4. 4/10/27 Common Diseases of Exotics, Elliott Sinming Chiu (City University of Hong Kong)

Everyone is welcome to register after becoming a member of the foundation: https://davisthompsonfoundation.org/event/seminar-series-in-mandarin-common-cutaneous-neoplasms-in-dogs-and-cats/

04/22/2026

I'm excited to share that we have published our 2VM AI literacy course, "Artificial Intelligence and Digital Tools for Next-Generation Veterinarians." 🎉

To the best of our knowledge, this is the first publication in veterinary medicine to detail teaching modules and a week-by-week schedule for AI literacy in veterinary education:

Module 1: Fundamentals of artificial intelligence (AI)
Module 2: Machine learning (ML)
Module 3: Large language models (LLM) and prompt engineering
Module 4: Ethical and legal considerations of AI use
Module 5: AI in veterinary scientific research

It may serve as a useful model for developing AI literacy curricula in veterinary education, and it has been included in the Preparing Students for AI-Integrated Workplaces: Curriculum Design, Skill Development, and Career Readiness collection.

Huang Y-T and Chu CP (2026) Curriculum framework for artificial intelligence literacy in veterinary education. Front. Vet. Sci. 13:1801756. doi: 10.3389/fvets.2026.1801756