The British Institute of Radiology (BIR), building on its renowned heritage in radiology and radiation oncology, has launched a new open access journal, BJR|Artificial Intelligence. This new journal further builds on the successful portfolio of BIR journals, including flagship journal BJR¸ as well as BJR|Open and BJR|Case Reports.
BJR|Artificial Intelligence is a fully open access, peer-reviewed journal dedicated to artificial intelligence in medical imaging, radiotherapy, radiation oncology, medical physics, radiobiology and the underpinning sciences. Led by Founding Co-Editors-in-Chief Professor Heang-Ping Chan and Professor Issam El Naqa, and supported by a large international Editorial Board of experts in AI, the journal welcomes submissions across the journal’s scope and considers the following article types:
- Original research
- Systematic Review
- Review
- Pictorial Review
- Opinion
- Technical Implementation
- Data Resources for AI
- Guidelines and Recommendations
- Practice and Policy
Professor Issam El Naqa said “This is an extremely exciting project for the BIR and I am delighted to be part of it. I look forward to seeing the journal grow and evolve over the years, providing an impactful contribution to AI research within the field of radiology and radiation oncology”.
The journal opened for submission in October 2023, and has published its first volume and issue in March 2024.BJR|Artificial Intelligence will follow a continuous publication model, whereby one volume and issue are published each year. All published content will be published under an open access CC BY licence, meaning the articles are free to all to read, share and reuse, as long as appropriately attributed.
Professor Heang-Ping Chan said “BJR|Artificial Intelligence will be a home for innovative and original AI work in radiological sciences, including contributing to its successful and safe implementation in clinical practice. We envision that the journal will play a key role in advancing AI in healthcare.”.
