Annual Scientific Meeting of the European College
of Veterinary Ophthalmologists 2027

AI in Veterinary Ophthalmology

May 19 – 22, 2027 | Warsaw, Poland

© GrafikVogel

Annual Scientific Meeting of the ECVO 2027

MAY 19 – 22, 2027 | WARSAW, Poland

Dr. Candace P. Chu

AOI: Responsible use of AI for scientific writing and peer review, AI in academia

Candice P. Chu, DVM, PhD, DACVP, is a board-certified veterinary clinical pathologist and Assistant Professor in the Department of Veterinary Pathobiology at Texas A&M University. Her work focuses on veterinary artificial intelligence, digital cytology, diagnostic AI, large language models, and AI education.

Dr. Chu develops and evaluates AI methods for veterinary diagnostics—from lymphoid cell classification in cytology images to structured data extraction from clinical records—while building curricula that prepare veterinary students and professionals to use AI responsibly. 

She co-chairs the ACVP Pathology Informatics Committee, serves on the AVMA Task Force on Emerging Technologies and Innovation, the Association of American Veterinary Medical Colleges AI Working Group, and the Texas A&M University AI Steering Committee.

Dr. Bret Moore

AOI: AI used in Veterinary ophthalmology (Apps, telemedicine, diagnostics, big Data, One Health)

Bret Moore is currently an Associate Professor at Cornell University. He received a DVM and PhD from Purdue University and completed a residency in comparative ophthalmology at the University of California Davis. His primary clinical interest is in exotic animal ophthalmology, which aligns well with his research expertise centering on comparative visual ecology and optics. Additionally, he has a strong interest in the communicative and collaborative processes within our profession, and how the interaction among and between veterinary professionals impacts the care of our collective patient and client population.

Dr. Siegfried Wagner

AOI: AI in Human Ophthalmology (An overview of current developments in AI in human ophthalmology worldwide)

SOTAL: Oculomics: the use of retinal imaging and AI for systemic health and disease

Siegfried Wagner is UKRI Future Leaders Fellow at University College London and Honorary Consultant Ophthalmologist at Moorfields Eye Hospital. He qualified in medicine from the University of Oxford in 2012 and subsequently completed a MSc in epidemiology at the London School of Hygiene and Tropical Medicine and PhD in ophthalmic artificial intelligence at University College London. His research focuses on oculomics – the use of ophthalmic imaging for characterising, monitoring and predicting non-communicable diseases, such as dementia and cardiovascular disease.

Dr. Adele Williams-Xavier

AOI: Introduction in to AI in general, Introduction into AI used in general veterinary medicine

Dr Adele Williams-Xavier FRCVS is a veterinary specialist, researcher and leader in artificial intelligence and healthcare innovation. With a career spanning clinical practice, academia, research and technology, she advises organisations on responsible AI development and adoption, and is passionate about ensuring innovation delivers meaningful benefits for patients, professionals and healthcare.

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Important dates

June 15, 2026
Opening Call for Science Pitches

October 30, 2026
Deadline Call for Science Pitches

December 01, 2026
Opening abstract submission

January 04, 2027
Opening registration

January 31, 2027 (midnight GMT)
Deadline abstract submission

End of March, 2027
Acceptance of submission

April 04, 2027
Deadline early bird registration

May 19 – 22, 2027
ECVO Conference 2027

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