About the Journal

Clinical Radiology and AI

Clinical Radiology and AI is an international, peer-reviewed, open-access journal dedicated to advancing the field of radiology through the integration of artificial intelligence (AI) technologies. Our mission is to provide a platform for clinicians, researchers, and professionals to share cutting-edge research, clinical applications, and innovations at the intersection of radiology and AI.

Aims and Scope

The journal publishes original research articles, review papers, case reports, and technical notes covering topics such as:

  • Diagnostic imaging enhanced by AI algorithms
  • Machine learning applications in radiology
  • Clinical implementation of AI tools
  • Radiomics and deep learning techniques
  • Ethical and regulatory considerations in AI-based radiology

Audience

Our primary audience includes radiologists, clinicians, AI researchers, data scientists, and healthcare professionals interested in the transformative role of AI in medical imaging.

Publication Frequency

Clinical Radiology and AI is published [biannually] and adheres to a rigorous peer-review process to ensure high-quality, impactful publications.

Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. All articles are published under an open-access model and can be accessed without subscription or payment.

Copyright Notice

Authors retain copyright of their work published in this journal. Articles are distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Sponsorship Disclosure

This journal does not currently receive sponsorship or financial support from any institution, organization, or funding agency. It is independently managed by its editorial board.

History of the Journal

Clinical Radiology and AI was founded in 2025 to address the growing intersection between diagnostic radiology and artificial intelligence. It was established by a team of radiology professionals and researchers dedicated to advancing academic publishing in this field.

Privacy Statement

The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.

Archiving Policy (LOCKSS/CLOCKSS)

This journal utilizes the LOCKSS and CLOCKSS systems to create a distributed archiving system among participating libraries and permits those libraries to create permanent archives of the journal for purposes of preservation and restoration.

Editorial Policy

The journal upholds the highest standards of research ethics and integrity, in line with international guidelines (COPE, ICMJE). All submitted manuscripts undergo a thorough peer-review process.

Clinical Radiology and AI adheres to the highest standards of publication ethics and integrity. Our editorial policies are guided by the principles of the ICMJE (International Committee of Medical Journal Editors) and COPE (Committee on Publication Ethics).

  • Peer Review Process

All submissions are subject to double-blind peer review by at least two independent experts.
Manuscripts are evaluated based on originality, scientific quality, clarity, and relevance to the journal’s scope. Final editorial decisions rest with the Editor-in-Chief.

  • Authorship

Only individuals who meet the ICMJE authorship criteria should be listed as authors.
All authors must have contributed significantly to the work and approved the final version of the manuscript.

  • Conflict of Interest

Authors, reviewers, and editors must disclose any financial or personal relationships that could influence their work.
A Conflict of Interest Declaration Form must be submitted along with each manuscript.

  • Plagiarism and Research Misconduct

All submissions are checked for plagiarism using reliable software.
Manuscripts found to include plagiarism, data fabrication, image manipulation, or unethical research practices will be rejected and may result in institutional notification.

  • Ethics Approval and Patient Consent

For studies involving human participants, ethics committee approval must be obtained and stated clearly in the manuscript.
Patient consent is required when individual patient data or identifiable images are presented.

  • Data Availability

Authors are encouraged to share anonymized data supporting their results.
Where applicable, data availability statements should be included in the manuscript.

  • Retraction and Correction Policy

In cases of serious errors, misconduct, or ethical concerns, the journal reserves the right to issue corrections, expressions of concern, or retractions, following COPE guidelines.

Contact

For inquiries, please contact:
Principal Contact: [Zeynep Yuce Ucar]
Email: [editor@clinicalradiologyai.com]