Krystle L Reagan, Karen Boudreaux, Stefan M Keller
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引用次数: 0
Abstract
Objective: To determine the perceptions and self-reported knowledge base of AI and machine learning (AI/ML) among professional veterinary students.
Methods: First-, second-, third-, and fourth-year professional veterinary students from the School of Veterinary Medicine at the University of California-Davis were surveyed in a cross-sectional study regarding their knowledge level, attitudes, and feelings regarding AI/ML in veterinary medicine. Responses were summarized, and descriptive statistics were performed.
Results: One hundred seventy-six of 594 (29.6%) veterinary students responded to the survey. One hundred forty-one out of 176 (80%) students reported slight or no knowledge surrounding AI/ML, and 139/176 (79%) of students were moderately to extremely interested in learning about AI/ML applications in veterinary medicine. Sixty-five out of 176 (37%) students reported learning about AI/ML concepts in their veterinary curriculum. Most students expect to use these tools in their practice (104/176 [59%]) and suspect that AI/ML will improve veterinary medicine (135/176 [77%]).
Conclusions: Artificial intelligence and machine learning applications in veterinary medicine are increasingly available. Professional veterinary students are eager to learn about these technologies and recognize their relevance to their future careers.
Clinical relevance: Many professional veterinary programs do not provide structured AI/ML literacy training. Artificial intelligence education should be incorporated into the curriculum to ensure that future veterinarians can critically evaluate and effectively integrate AI/ML tools into clinical practice.
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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