Aims & Scope

The journal publishes original research articles, reviews, clinical trials, translational studies, case reports, and expert commentaries across all domains of AI in healthcare and biomedical engineering. Key focus areas include machine learning and deep learning applications, AI-driven diagnostics, medical imaging, precision medicine, AI in drug discovery, digital health innovations, biomedical signal processing, AI ethics, and regulatory issues. Special emphasis is placed on interdisciplinary approaches, real-world applications, and contributions that bridge the gap between theoretical research and practical implementation.

Committed to scientific integrity and editorial excellence, the Journal of AI in Healthcare and Biomedical Engineering employs a rigorous peer-review process and adheres to the highest ethical standards as outlined by COPE. The journal embraces transparency, reproducibility, and accessibility, ensuring that all published content is freely available under an open-access model to maximize dissemination and global impact.

Single-blinded Peer Review

Committed to scholarly integrity and editorial excellence, the Journal of AI in Healthcare and Biomedical Engineering employs a single-blinded peer-review process and adheres to the highest ethical standards as outlined by COPE (Committee on Publication Ethics). The journal upholds principles of transparency, reproducibility, and openness, ensuring that all published content is freely accessible under an open-access model to foster global knowledge sharing and impact.

ISSN

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Abstracting & Indexing

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