Our Mission: To accelerate the development and translation of AI-driven biomedical technologies by publishing high-quality, reproducible research that bridges the gap between computational methods and clinical practice.

Our Vision: To become the leading journal in biomedical AI, fostering global collaboration and driving innovation that improves patient outcomes, enhances healthcare delivery, and transforms the future of medicine.

BDSAI welcomes original research, reviews, short communications, and perspectives in all areas of biomedical data science and artificial intelligence, including but not limited to:

• 100% Open Access: All articles are immediately and permanently free to read, download, and share
• Rapid Peer Review: Average first decision within 4 weeks of submission
• Mandatory Data & Code Sharing: Ensures full reproducibility of all published research
• International Editorial Board: Composed of leading experts from academia and industry
• Continuous Publication: Articles are published online immediately upon acceptance
• Author-Friendly Policies: Authors retain full copyright under CC BY 4.0 license
• Global Reach: Committed to indexing in all major academic databases

BDSAI operates on a gold open access model. All articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which allows anyone to use, distribute, and reproduce the work, provided appropriate credit is given to the original authors.

Authors retain full copyright of their work. Prime Academic Press holds a non-exclusive license to publish and distribute the article.

Current Indexing

• CrossRef: All articles receive permanent DOIs with automatic metadata synchronization
• Google Scholar: Enabled via OJS official plugin, articles indexed within 1-3 months of publication
• OAI-PMH: Open Archives Initiative Protocol for Metadata Harvesting, supporting libraries and institutional repositories worldwide
• Prime Academic Press Digital Repository: Permanent digital archiving of all published content
• LOCKSS Program: Distributed long-term digital preservation network ensuring perpetual access

Future Indexing Roadmap

We are actively pursuing indexing in the following major academic databases according to this timeline:

• Phase 1 : Directory of Open Access Journals (DOAJ) - Priority application
• Phase 2 : Scopus, PubMed Central (PMC), Dimensions
• Phase 3 : Web of Science (SCIE), Embase, Chemical Abstracts Service (CAS)
• Additional: Semantic Scholar, and other regional and specialized databases

Indexing status will be updated regularly on the journal website. We are committed to ensuring maximum visibility and discoverability of all published research.