
This review article explores the transformative potential of Artificial Intelligence (AI) in revolutionizing personalized pet healthcare. The sources highlight the increasing significance of pets in society and the challenges faced by veterinarians, including time constraints and the rise of Multiple Drug Resistance (MDR). AI offers innovative solutions to enhance veterinary diagnostics, treatment, and disease prediction by leveraging its capacity to analyze extensive datasets and identify intricate patterns. This review discuss the application of AI in various domains of veterinary medicine, including diagnostic imaging, vaccine development, and animal disease monitoring. They also explore the role of AI in echocardiography assessment in dogs, emphasizing the potential for automation and enhanced accuracy in measurements. Furthermore, the sources emphasize the benefits of AI-driven personalized treatment plans for pets, optimizing medication and dosage regimens based on individual characteristics and medical history. The integration of AI with wearable technology and AI-powered chatbots enhances pet health monitoring, provides pet owners with accessible veterinary advice, and improves the overall efficiency of clinical decision-making. While acknowledging the ethical considerations surrounding data privacy and the potential for bias, the review underscores the significant promise of AI in shaping the future of personalized pet medicine.
Artificial Intelligence (AI),Personalized Medicine,Veterinary Medicine,Pet Healthcare,Diagnostic Imaging.Vaccine Development,Wearable Technology,AI Chatbots
Artificial Intelligence (AI),Personalized Medicine,Veterinary Medicine,Pet Healthcare,Diagnostic Imaging.Vaccine Development,Wearable Technology,AI Chatbots
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
