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Aims and Scope

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

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.

Scope

AI Med welcomes original research articles, reviews, methods papers, short communications, and perspectives with clear clinical or biomedical relevance. Purely theoretical computer science, non-medical engineering, and manuscripts without a substantive medical or biomedical application are outside scope.

The journal particularly encourages clinical data science; medical informatics and healthcare analytics; machine learning and deep learning for diagnosis, prognosis, and risk prediction; medical imaging and computer vision; biomedical engineering and biosensing; bioinformatics and multimodal biomedical analysis; clinical decision support; and validation, reproducibility, transparency, and safety of clinically relevant AI systems.

Publication Model

The journal uses double-blind peer review and continuous online publication. Accepted articles are published online when production is complete and are open access under the CC BY 4.0 licence.

Article Processing Charges

For manuscripts accepted on or before 31 December 2027, the APC is fully waived. For manuscripts accepted on or after 1 January 2028, the APC is USD 800. There are no submission, page, colour, withdrawal, or language-editing charges, and fees do not influence editorial decisions.

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