EquiVet.AI Workshop: Bringing AI into Veterinary Practice
The Equivet.AI Workshop will showcase how AI technologies are being applied in real veterinary practice, from automatic clinical report generation using audio notes to equine clinical decision-support systems, within the EquiVet.AI project led by INESC-ID.
The programme includes demonstrations of AI systems integrated into clinical veterinary workflows, including tools such as VetScribe, EquiBreath, and EquiItch. These systems apply natural language processing and image analysis to support clinical decision-making and streamline reporting processes.
The event will conclude with a round table (17h30–18h30) on the topic of trustworthy AI in clinical practice, featuring invited experts in ethics, cybersecurity, and law:
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Helena Moniz (FLUL/CLUL/INESC-ID): President of the Ethics Committee of the Center for Responsible AI and coordinator of the Science4Policy initiative Bridge AI.
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Nuno Santos (IST/INESC-ID): Leader of the Systems Security team within the INESC-ID’s Distributed and Parallel Secure Systems Scientific Area, specialist in security and privacy.
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João Marques Martins (FDUL): Executive Coordinator of the postgraduate programme AI in Legal Practice and its Regulations, and co-founder of J. Martins & T. Crespo – Law Firm, SP, RL.
Date & Time: December 12, 14h30-18h30
Location: Faculdade de Medicina Veterinária, Av. Universidade Técnica, 1300-477 Lisboa, Portugal
About INESC-ID
INESC-ID, “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer Engineering. INESC-ID mission is to produce added value to people and society, supporting the response of public policies to scientific, health, environmental, cultural, social, economic and political challenges. INESC-ID promotes cooperation between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and direct contracted research. Public and private entities have therefore access to a pool of knowledge, resources and services provided through the unique competencies available at the institution.
INESC-ID is supported by:
