About the Journal

Welcome to ARC: Journal of AI in Clinical Practice

ARC Journal of AI in Clinical Practice  is a niche field of research that focuses on practical uses of AI, machine learning, and data-driven technologies in healthcare settings. ARC will aim to present the work that can help medical professionals, researchers, and healthcare teams gain insight into the areas and methods in which AI tools effectively enhance patient care contrary to the publications, which may focus exclusively on theory.

ARC Journal of AI in Clinical Practice is a quarterly publication and follows an open-access model, ensuring that all published research is freely available to readers worldwide. By promoting accessibility and transparency, the journal aims to encourage knowledge sharing and collaboration across the global healthcare and research community.

Our journal targets students, healthcare innovators, and data scientists, frontline clinicians, and everyone who wants to receive unadulterated evidence-based ideas. It is our mission to transcend the hype and provide a publication space that incorporates the real-world experience with close analysis and extensive research.

What You’ll Find Here

ARC Journal of AI in Clinical Practice publishes outstanding articles, which show how AI and related technologies can be applied to clinical problems, including:

• Research in AI-based prognostic, diagnostic and treatment planning.
• Study on the application of real patient data to machine learning.
• The AI systems applied in clinics and hospitals are assessed in practice.
• Experiences in the clinical setting, case studies and learning with regard to implementation.
• Safety, ethics, explainability, bias, and trust in clinical AI.

We are interested in actual implementation - the work that allows readers to see not only what can be done with AI, but what already works, what does not work, and why it is important to patient care.