{"title":"Familiarity with artificial intelligence drives optimism and adoption among veterinary professionals: 2024 survey.","authors":"Sebastian Gabor, Galyna Danylenko, Bill Voegeli","doi":"10.2460/ajvr.24.10.0293","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To capture veterinary professionals' perspectives and applications of AI in veterinary care. This study assesses the perceived benefits, challenges, and potential areas where AI could enhance veterinary medicine and practice workflows.</p><p><strong>Methods: </strong>An online survey was distributed to members of the American Animal Hospital Association and Digitail's network of veterinary professionals. The questionnaire included 18 close-ended and 7 open-ended questions exploring awareness, perceptions, usage, expectations, and concerns about AI in veterinary medicine. The survey was open from December 19, 2023, through January 8, 2024.</p><p><strong>Results: </strong>The survey gathered 3,968 responses from professionals in various veterinary roles. Most respondents were veterinarians and veterinary technicians, with an average age of 35.</p><p><strong>Conclusions: </strong>Respondents demonstrated varying familiarity with AI, with an overall positive outlook toward its adoption in veterinary medicine. Those who actively use AI tools in their professional tasks reported higher levels of optimism about its integration. Key concerns included the reliability and accuracy of AI in diagnosis and treatment. The top benefits identified by respondents included improving efficiencies, streamlining administrative tasks, and potential contributions to revenue growth, employee satisfaction, and client retention.</p><p><strong>Clinical relevance: </strong>The findings underscore the influence of practical exposure and experience with AI tools on attitudes toward AI adoption. The positive correlation suggests that familiarity with AI technologies fosters trust and confidence, consequently driving greater acceptance and adoption within the veterinary community.</p>","PeriodicalId":7754,"journal":{"name":"American journal of veterinary research","volume":" ","pages":"S63-S69"},"PeriodicalIF":1.4000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of veterinary research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.2460/ajvr.24.10.0293","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/1 0:00:00","PubModel":"Print","JCR":"Q2","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To capture veterinary professionals' perspectives and applications of AI in veterinary care. This study assesses the perceived benefits, challenges, and potential areas where AI could enhance veterinary medicine and practice workflows.
Methods: An online survey was distributed to members of the American Animal Hospital Association and Digitail's network of veterinary professionals. The questionnaire included 18 close-ended and 7 open-ended questions exploring awareness, perceptions, usage, expectations, and concerns about AI in veterinary medicine. The survey was open from December 19, 2023, through January 8, 2024.
Results: The survey gathered 3,968 responses from professionals in various veterinary roles. Most respondents were veterinarians and veterinary technicians, with an average age of 35.
Conclusions: Respondents demonstrated varying familiarity with AI, with an overall positive outlook toward its adoption in veterinary medicine. Those who actively use AI tools in their professional tasks reported higher levels of optimism about its integration. Key concerns included the reliability and accuracy of AI in diagnosis and treatment. The top benefits identified by respondents included improving efficiencies, streamlining administrative tasks, and potential contributions to revenue growth, employee satisfaction, and client retention.
Clinical relevance: The findings underscore the influence of practical exposure and experience with AI tools on attitudes toward AI adoption. The positive correlation suggests that familiarity with AI technologies fosters trust and confidence, consequently driving greater acceptance and adoption within the veterinary community.
期刊介绍：
The American Journal of Veterinary Research supports the collaborative exchange of information between researchers and clinicians by publishing novel research findings that bridge the gulf between basic research and clinical practice or that help to translate laboratory research and preclinical studies to the development of clinical trials and clinical practice. The journal welcomes submission of high-quality original studies and review articles in a wide range of scientific fields, including anatomy, anesthesiology, animal welfare, behavior, epidemiology, genetics, heredity, infectious disease, molecular biology, oncology, pharmacology, pathogenic mechanisms, physiology, surgery, theriogenology, toxicology, and vaccinology. Species of interest include production animals, companion animals, equids, exotic animals, birds, reptiles, and wild and marine animals. Reports of laboratory animal studies and studies involving the use of animals as experimental models of human diseases are considered only when the study results are of demonstrable benefit to the species used in the research or to another species of veterinary interest. Other fields of interest or animals species are not necessarily excluded from consideration, but such reports must focus on novel research findings. Submitted papers must make an original and substantial contribution to the veterinary medicine knowledge base; preliminary studies are not appropriate.
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