About the Journal

ARC: Journal of AI in Clinical Practice is a peer-reviewed journal on the use of artificial intelligence in clinical environments that is available globally. The journal contains details concerning the formation and evaluation and actual implementation of AI technologies in daily healthcare approaches, although it includes the practical use of AI technologies instead of their theoretical forms.

The idea behind initiating the ARC is to assist everybody who is emerging with the AI tools as clinicians, researchers, and health care professionals to make use of it within the clinical setting. The journal aims to promote critical discourse and collaborative learning among the diverse fields of medicine, data science, engineering and health systems by bringing together several viewpoints in one field.

Some of the types of academic contributions open to ARC include:

• Preliminary studies on the use of AI in diagnosis, prognosis, and treatment.
• Systematic reviews that examine clinical outcomes and the available data.
• Live implementation reports and case studies.
• Clearly, clinically relevant technical and methodological investigations.
• The debate on bias, safety, ethics and openness in clinical AI.

When AI is more prevalent in hospitals, individuals desire evidence that it effectively works. Since the outcome in the real world is important, ARC allows users to share what they have witnessed when using such tools.

When looking at the way things are done in real life, it assists the journal to ensure that the cautious use, making decisions plod on one step at a time.

The Journal of AI in Clinical Practice will publish high-quality, clinical research on the use of AI for improving healthcare. This journal is dedicated to publishing research on all aspects of AI including research that demonstrates the correct application of AI based on evidence, ethics, and how AI is being used in real life situations to benefit patients.

With a very high target, the journal tries to unite child health experts, coders and clinics in different continents by engaging in common work. Trust does not develop in solitary initiatives but rather in actions that are transparent and motives transparent and reflective. Collaboration gradually creates better systems in which justice is equally important as outcomes.

Any submission to ARC undergoes a rigorous peer review process that is conducted by experts in artificial intelligence and clinical practice. The open-access business model ensures that published studies are made available at no cost to the reader in any part of the world thus promoting international collaboration and sharing of information.