ReviewFrontiers in veterinary science2024
ChatGPT in veterinary medicine: a practical guidance of generative artificial intelligence in clinics, education, and research.
Review in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- Assessing the performance of large language models when used to determine ASA status of cats and dogs and generate anaesthetic protocols.The Veterinary record · 2026Article
- Generative AI in Veterinary Pathology: Feasibility of a GPT-Based Assistive Tool for Gross, Cytologic, and Histopathologic Assessment of Canine Cutaneous Neoplasms-A Pilot Study.Animals : an open access journal from MDPI · 2026Article
- Bitesize Biosecurity: A tool and framework for curating and summarising expert biosecurity advice for farmers using artificial intelligence.Veterinary record open · 2026Article
- Pilot Study: ChatGPT-enabled Task Sharing and Team Building Improve Workflow in Lymphedema Care.Plastic and reconstructive surgery. Global open · 2026Article
- Simulation, artificial intelligence, and competency-based frameworks in veterinary medical education: a narrative review.Journal of veterinary science · 2026Review
- Performance evaluation of generative pre-trained transformer on the National Veterinary Licensing Examination in Japan.Scientific reports · 2026Article
- Artificial Intelligence in Veterinary Education: Preparing the Workforce for Clinical Applications in Diagnostics and Animal Health.Veterinary sciences · 2026Review
- Utility of ChatGPT in generating accurate client handouts for common veterinary internal medicine diseases.Journal of veterinary internal medicine · 2026Article
- The influence, promise, and potential perils of artificial intelligence in veterinary medicine: a call for improved awareness and literacy.Journal of veterinary internal medicine · 2026Article
- ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: The evolution of large language models and their impact on animal sciences.Journal of animal science · 2026Review
- Artificial intelligence in veterinary education: self-perceived knowledge, use, and attitudes among veterinary students in Spain and Portugal.Frontiers in veterinary science · 2026Article
- Perceptions of ChatGPT- and veterinarian-generated responses to pet owners' medical questions.Frontiers in veterinary science · 2026Article
- The adoption paradox for veterinary professionals in China: high use of artificial intelligence despite low familiarity.Frontiers in veterinary science · 2026Article
- Curriculum framework for artificial intelligence literacy in veterinary education.Frontiers in veterinary science · 2026Article
- Artificial Intelligence in Veterinary Clinical Pathology-An Introduction and Review.Veterinary clinical pathology · 2025Review
- From bench to bedside and back: translational cardiovascular interventions in veterinary medicine.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2025Review
- Integrating artificial intelligence into veterinary education: student perspectives.Frontiers in veterinary science · 2025Article
- Based on digital intelligence: teaching innovation and practice of veterinary internal medicine in China's southwest frontier.Frontiers in veterinary science · 2025Review
- Performance of large language models on veterinary undergraduate multiple-choice examinations: a comparative evaluation.Frontiers in veterinary science · 2025Article
- Introducing AI-generated cases (AI-cases) & standardized clients (AI-SCs) in communication training for veterinary students: perceptions and adoption challenges.Frontiers in veterinary science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
ChatGPT, the most accessible generative artificial intelligence (AI) tool, offers considerable potential for veterinary medicine, yet a dedicated review of its specific applications is lacking. This review concisely synthesizes the latest research and practical applications of ChatGPT within the clinical, educational, and research domains of veterinary medicine. It intends to provide specific guidance and actionable examples of how generative AI can be directly utilized by veterinary professionals without a programming background. For practitioners, ChatGPT can extract patient data, generate progress notes, and potentially assist in diagnosing complex cases. Veterinary educators can create custom GPTs for student support, while students can utilize ChatGPT for exam preparation. ChatGPT can aid in academic writing tasks in research, but veterinary publishers have set specific requirements for authors to follow. Despite its transformative potential, careful use is essential to avoid pitfalls like hallucination. This review addresses ethical considerations, provides learning resources, and offers tangible examples to guide responsible implementation. A table of key takeaways was provided to summarize this review. By highlighting potential benefits and limitations, this review equips veterinarians, educators, and researchers to harness the power of ChatGPT effectively.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.