AIMC Topic: Veterinary Medicine

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To see or not to see the vet: A vignette-based study of decision-making by UK dog owners regarding seeking veterinary care for commonly presenting conditions.

PloS one
Barriers to accessing veterinary-care for dog-owners are diverse and dynamic, and widely accepted as major canine welfare threats because of potential non-, under- or delayed treatment. Owner knowledge and perceptions are recognised as key influences...

Artificial intelligence and companion animals: Perspectives on digital healthcare for dogs, cats, and pet ownership.

Research in veterinary science
The exponential increase in global pet ownership has been creating an urgent demand for novel solutions to upgrade care for companion animals, particularly dogs and cats. Similar to its impact on other domains, artificial intelligence (AI) delivers a...

American College of Veterinary Radiology and European College of Veterinary Diagnostic Imaging position statement on artificial intelligence.

Journal of the American Veterinary Medical Association
The American College of Veterinary Radiology (ACVR) and the European College of Veterinary Diagnostic Imaging (ECVDI) recognize the transformative potential of AI in veterinary diagnostic imaging and radiation oncology. This position statement outlin...

Standardizing canine breed data in veterinary records is challenging, but computer vision offers an alternative perspective on breed assignment.

American journal of veterinary research
Dog breed is fundamental health information, especially in the context of breed-linked diseases. The standardization of breed terminology across health records is necessary to leverage the big data revolution for veterinary research. Breed can also i...

Familiarity with artificial intelligence drives optimism and adoption among veterinary professionals: 2024 survey.

American journal of veterinary research
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.

Demystifying artificial intelligence for veterinary professionals: practical applications and future potential.

American journal of veterinary research
The field of veterinary medicine, like many others, is expected to undergo a significant transformation due to artificial intelligence (AI), although the full extent remains unclear. Artificial intelligence is already becoming prominent throughout da...

Artificial intelligence and machine learning in veterinary medicine: a regulatory perspective on current initiatives and future prospects.

American journal of veterinary research
The US FDA's Center for Veterinary Medicine (CVM) is advancing its leadership in veterinary science by integrating AI and machine learning (ML) into its regulatory framework and scientific initiatives. This paper explores the CVM's strategic approach...

Toward collaborative artificial intelligence development for animal well-being.

Journal of the American Veterinary Medical Association
This review focuses on opportunities and challenges of future AI developments in veterinary medicine, from the perspective of computer science researchers in developing AI systems for animal behavior analysis. We examine the paradigms of supervised l...

Artificial intelligence is beginning to create value for selected small animal veterinary applications while remaining immature for others.

Journal of the American Veterinary Medical Association
Artificial intelligence is a powerful technology with great potential to support veterinarians across many aspects of their multifaceted job. However, realizing this potential requires AI solutions that truly address specific pain points. Here we rev...

Precision in Parsing: Evaluation of an Open-Source Named Entity Recognizer (NER) in Veterinary Oncology.

Veterinary and comparative oncology
Integrating Artificial Intelligence (AI) through Natural Language Processing (NLP) can improve veterinary medical oncology clinical record analytics. Named Entity Recognition (NER), a critical component of NLP, can facilitate efficient data extractio...