AIMC Topic: Veterinary Medicine

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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...

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...

The Vertebrate Breed Ontology: Toward Effective Breed Data Standardization.

Journal of veterinary internal medicine
BACKGROUND: Limited universally-adopted data standards in veterinary medicine hinder data interoperability and therefore integration and comparison; this ultimately impedes the application of existing information-based tools to support advancement in...

Dispelling some AI myths.

The Veterinary record
Type 'myths about artificial intelligence' into an online search engine and there will be plenty of suggestions. But is there any substance behind them?

Integrating AI into practice.

The Veterinary record
The possible veterinary applications of chatbots such as ChatGPT are already revealing themselves, but there are pitfalls to be aware of too.