About the Journal

ARC: Journal of AI in Clinical Practice was created with a simple idea in mind: bring together the people who are experimenting with AI in real medical environments and the people who study these systems in depth. Many discussions about AI happen in technical or abstract terms, but the real challenge is figuring out how these tools work when they’re placed in front of patients and clinicians. That’s the space we aim to serve.

We welcome studies that come from day-to-day clinical practice as much as those rooted in rigorous data science. Sometimes that means a full research article; other times it may be a careful review, a small but meaningful case study, or a methodological explanation that helps others understand how things were done.

Everything we publish goes through a clear peer-review process led by people who understand both medicine and technology. We value transparency, reproducibility, and work that has genuine clinical relevance. Above all, the journal exists to help clinicians, scientists, and students learn from each other as AI becomes a more visible part of healthcare.