Journal of Agentic Intelligence in Medical Sciences (JAIMS) is a peer-reviewed open-access journal, dedicated to exploring the intersection of artificial intelligence (AI) and medical sciences. JAIMS is committed to publishing high-quality scholarly articles that report substantial, original research on a broad range of AI and medical applications. All submissions must present novel, previously unpublished results, whether experimental or theoretical, and meet the following criteria:
- Articles in computational approaches, machine learning, big data, medical AI, and related informatics fields.
- Research on AI-driven healthcare technologies, predictive modeling in medicine, and intelligent decision support systems.
- Empirical studies and theoretical analysis, alongside applications in healthcare problem-solving and medical innovation.
- Studies that respond to urgent healthcare needs, particularly those involving rare data analysis with cutting-edge methods.
- Research that highlights how AI and learning methods can be used to address pressing challenges in medical science and clinical practice.
- Contributions that emphasize the motivation and impact of the work, as well as its evolutionary results.
- Papers that bridge the interdisciplinary gap between computational data, medical research, and decision-making processes aimed at improving human health.
JAIMS welcomes research involving novel AI and machine learning models, big data analytics, and healthcare informatics that contribute to advancing both medical technologies and human health outcomes. The journal encourages the application of AI methods to solve significant medical application problems and aims to serve as a leading resource in healthcare AI research.
