Aims and Scope
The Journal of Artificial Intelligence in Medical and Veterinary Sciences (JAIMVS) is an international, peer-reviewed journal dedicated to the application of artificial intelligence (AI), machine learning, deep learning, data science, and related technologies in medicine, veterinary medicine, biomedical sciences, and healthcare.
The journal aims to provide a multidisciplinary platform for innovative research on the development, evaluation, and application of AI to improve disease diagnosis, prediction, prevention, treatment, surveillance, clinical and veterinary decision-making, and health research.
The journal welcomes Original Research Articles, Reviews, Systematic Reviews, Methodological Studies, Short Communications, Perspectives and case Reports covering, but not limited to:
- AI and machine learning in human and veterinary medicine
- Medical and veterinary imaging, diagnostics, and digital pathology
- Predictive modelling, epidemiology, and disease surveillance
- Biomedical informatics, bioinformatics, genomics, and precision medicine
- Drug, vaccine, and biomarker discovery
- Public health, One Health, and zoonotic diseases
- Animal health, welfare, and precision livestock farming
- Generative AI, natural language processing, and large language models
- Robotics, digital health, and intelligent healthcare systems
- Ethical, responsible, transparent, and explainable AI in healthcare
JAIMVS particularly encourages interdisciplinary research connecting artificial intelligence with medical, veterinary, biomedical, public health, and One Health sciences, with emphasis on scientifically rigorous, reproducible, and practically relevant applications.
