AIMC Topic: Veterinary Medicine

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AI-powered techniques in anatomical imaging: Impacts on veterinary diagnostics and surgery.

Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
BACKGROUND: Artificial intelligence (AI) is rapidly transforming veterinary diagnostic imaging, offering improved accuracy, speed, and efficiency in analyzing complex anatomical structures. AI-powered systems, including deep learning and convolutiona...

Artificial intelligence in veterinary diagnostic imaging: Perspectives and limitations.

Research in veterinary science
The field of veterinary diagnostic imaging is undergoing significant transformation with the integration of artificial intelligence (AI) tools. This manuscript provides an overview of the current state and future prospects of AI in veterinary diagnos...

What's in the box? A toolbox for safe deployment of artificial intelligence in veterinary medicine.

Journal of the American Veterinary Medical Association
This report describes a comprehensive framework for applying artificial intelligence (AI) in veterinary medicine. Our framework draws on existing research on AI implementation in human medicine and addresses the challenges of limited technology exper...

Australian perspectives on artificial intelligence in veterinary practice.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
While artificial intelligence (AI) and recent developments in deep learning (DL) have sparked interest in medical imaging, there has been little commentary on the impact of AI on the veterinarian and veterinary imaging technologists. This survey stud...

Research perspectives on animal health in the era of artificial intelligence.

Veterinary research
Leveraging artificial intelligence (AI) approaches in animal health (AH) makes it possible to address highly complex issues such as those encountered in quantitative and predictive epidemiology, animal/human precision-based medicine, or to study host...

Review of Medical Decision Support and Machine-Learning Methods.

Veterinary pathology
Machine-learning methods can assist with the medical decision-making processes at the both the clinical and diagnostic levels. In this article, we first review historical milestones and specific applications of computer-based medical decision support...

Development of a quantitative PCR for the detection of Rangelia vitalii.

Veterinary parasitology
The aim of this study was to develop and validate a SYBR Green qPCR assay to detect and quantify a fragment of the 18S rRNA gene of Rangelia vitalii in canine blood. Repeatability of the qPCR was determined by the intra- and inter-assay variations. T...

Applying artificial intelligence technologies in the veterinary profession.

The Veterinary record
Policy and public affairs manager Ben O'Halloran introduces a new BVA policy position on artificial intelligence.

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Veterinary medicine and science
In recent years, artificial intelligence (AI) has brought about a significant transformation in healthcare, streamlining manual tasks and allowing professionals to focus on critical responsibilities while AI handles complex procedures. This shift is ...

Comprehensive Global Analysis of Future Trends in Artificial Intelligence-Assisted Veterinary Medicine.

Veterinary medicine and science
BACKGROUND: This study conducts a bibliometric analysis of global trends in 'artificial intelligence studies in veterinary medicine'. The analysis aims to summarise the publications of researchers from various disciplines related to artificial intell...