The British Institute of Radiology launches new open access AI journal

5 March 2024

 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.”


Professor Heang-Ping Chan Professor Issam El Naqa

Professor Heang-Ping Chan (left) and Professor Issam El Naqa (right)


BJRAI cover

BJR|Artificial Intelligence journal cover




Notes to Editors - About The British Institute of Radiology


The British Institute of Radiology is an international membership organisation for everyone working in imaging, radiation oncology and the underlying sciences.


Our aims are to:

  • support the work of our members and their colleagues to achieve professional excellence
  • provide continuing professional development for our multidisciplinary community
  • publish cutting-edge research for our authors and readers across the world
  • influence and connect with the wider professional sector.


Registered Charity No: 215869


For information about this release please contact:

Carole Cross, Director of Communications and Partnerships

Audrey House, 16-20 Ely Place, London EC1N 6SN

Tel. 020 3668 2224

Mobile 07963 200147 (out of office hours)


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