AI Med

E-ISSN: 3079-4757

AI Med is a peer-reviewed, fully open-access journal published by AI Press Limited. It publishes clinically relevant research in three core subject directions:

Medical Informatics: clinical information systems, electronic health records, clinical decision support, health data standards, and applied medical information technologies.

Computer Science and Artificial Intelligence: machine learning, deep learning, medical imaging, natural language processing, causal inference, and reproducible computational methods for medical and biomedical problems.

Biomedical Engineering: biomedical devices, biosensors, wearable and intelligent medical systems, biomaterials, tissue engineering, and engineering validation for healthcare applications.

The journal prioritises transparent methods, appropriate clinical or biomedical datasets, reproducible analyses, independent validation, and clear implications for patient care or health systems. Purely theoretical computer science, non-medical engineering, and manuscripts without a substantive medical or biomedical application are outside scope.

Publication frequency: Real-time continuous online publication. Articles are published online as soon as production is complete.