Role of Artificial Intelligence for Personalized Treatment to Pets
Creators
- 1. Faculty of Veterinary and Animal Sciences Gomal University DIkhan
- 2. Faculty of Veterinary and Animal Sciences University of Poonch Rawalakot
- 3. Department of Pharmacy , Mawlana Bhashani Science and Technology University Bangladesh
- 4. Department of Epidemiology and Public Health University of Agriculture Faisalabad
- 5. Department of zoology, University of Jhang
Description
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.
Files
GSARJAVS102024 Gelary script.pdf
Files
(710.1 kB)
Name | Size | Download all |
---|---|---|
md5:cf5807da2513cf3639df8dbe6e5f62d2
|
710.1 kB | Preview Download |