AI MED is a multidisciplinary journal that aims to bridge the gap between artificial intelligence and medicine. The journal focuses on the integration of AI technologies in healthcare systems, exploring innovative applications, cutting-edge research, and developing tools to improve patient care and clinical outcomes.

Our scope includes but is not limited to the following areas:

AI in Medical Diagnostics: Research AI-driven tools for early disease detection, imaging analysis, and predictive analytics.
Application of AI in drug Discovery: Application innovation of AI in accelerating drug development and personalized medicine.
Healthcare Robotics: AI technology drives advances in robotics for use in surgery, rehabilitation and patient care.
Healthcare data Analytics: Explore the effectiveness of AI methods in analyzing large-scale healthcare data to improve patient outcomes and decision making.
AI in Medical Imaging: A study of the use of machine learning and deep learning in radiology and other medical imaging fields.
Ethical Considerations and AI Regulation: Articles discussing the ethical implications, privacy issues, and regulatory frameworks surrounding the use of AI in healthcare.
AI MED invites reviews, original research articles, reviews, case studies, and opinion pieces that showcase new advances in the field, challenge current paradigms, and highlight AI's potential to revolutionize medicine.

The journal aims to be an important resource for researchers, clinicians, and technologists working at the intersection of AI and healthcare.