The Role of Artificial Intelligence in Veterinary Medicine

Artificial intelligence (AI) is transforming veterinary medicine by improving diagnosis accuracy, disease surveillance, and treatment planning using machine learning (ML) and sophisticated analytics approaches. This review looks at the existing applications and future possibilities of artificial intelligence in veterinary medicine, with an emphasis on diagnostic imaging, epidemiology, disease prediction, and reproductive health. AI-powered radiomics enhances diagnostic precision for complex disorders, while predictive modeling helps to anticipate and manage disease outbreaks. Biosurveillance systems with AI enable early detection of emerging diseases. Furthermore, AI improves breeding programs and checks reproductive health. Despite issues with data quality and ethical considerations, the future of AI in veterinary medicine looks bright, with the potential to greatly enhance animal health outcomes and contribute to global public health.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-23
DOI
https://doi.org/10.5281/zenodo.13829360
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Artificial Intelligence in Veterinary Medicine

Zenodo (CERN European Organization for Nuclear Research)
Radiomics and Machine Learning in Medical Imaging
article

The Role of Artificial Intelligence in Veterinary Medicine

article en

Abstract

Artificial intelligence (AI) is transforming veterinary medicine by improving diagnosis accuracy, disease surveillance, and treatment planning using machine learning (ML) and sophisticated analytics approaches. This review looks at the existing applications and future possibilities of artificial intelligence in veterinary medicine, with an emphasis on diagnostic imaging, epidemiology, disease prediction, and reproductive health. AI-powered radiomics enhances diagnostic precision for complex disorders, while predictive modeling helps to anticipate and manage disease outbreaks. Biosurveillance systems with AI enable early detection of emerging diseases. Furthermore, AI improves breeding programs and checks reproductive health. Despite issues with data quality and ethical considerations, the future of AI in veterinary medicine looks bright, with the potential to greatly enhance animal health outcomes and contribute to global public health.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 53%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.