New open access AI journal for the BIR

5 March 2024

We are delighted to announce the launch of a brand-new BIR journal BJR|Artificial Intelligence

BJR|Artificial Intelligence is a fully open access, peer-reviewed journal, and one of the first journals dedicated to artificial intelligence in the field of radiology, oncology and the underpinning sciences. We are enormously grateful to Founding Co-Editors-in-Chief Professor Heang-Ping Chan and Professor Issam El Naqa who have been instrumental in setting up the journal, providing their expert guidance together with the support of a large international Editorial Board of experts in AI. They have worked with the BIR Publishing team to publish the first volume, launched this week.

The journal is dedicated to artificial intelligence in medical imaging, radiotherapy, radiation oncology, medical physics, radiobiology and the underpinning sciences and has already published its first volume, after opening for submission in October 2023.

The journal welcomes 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”.

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.”.

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.

Find out more about the journal and how to submit here


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




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