Mission
The Journal of AI in Medicine (JAIM) is dedicated to advancing the field of artificial intelligence in healthcare through high-quality, peer-reviewed research. Our mission is to serve as a premier platform where medicine meets machine intelligence, fostering collaboration between clinicians, researchers, and technologists.
We are committed to publishing innovative research that translates algorithms into healing, with a focus on ethical, clinical, and computational frontiers of AI in medicine. JAIM strives to bridge the gap between theoretical AI research and practical clinical applications.
Editorial Philosophy
JAIM™ operates under the principles of:
- Rigor: All submissions undergo a rigorous peer-review process to ensure scientific validity and clinical relevance.
- Ethics: JAIM™ is a member of the Committee on Publication Ethics (COPE) and adheres to COPE guidelines and the ICMJE recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals. We promote responsible AI development in healthcare.
- Openness: We believe in open access to knowledge, making research freely available to benefit global healthcare.
- Diversity: We value diverse perspectives and welcome contributions from researchers worldwide.
- Clinical Impact: We prioritize research that has the potential to improve patient outcomes and advance clinical practice.
Scope
JAIM publishes original research, reviews, case studies, and perspectives on the application of artificial intelligence in medicine. Our scope includes but is not limited to:
Clinical Applications
- Diagnostic AI systems
- Treatment recommendation engines
- Clinical decision support tools
- Personalized medicine approaches
Medical Imaging
- Radiology AI and computer vision
- Pathology automation
- Medical image analysis
- Imaging biomarker discovery
Data Science & Analytics
- Predictive analytics and risk stratification
- Electronic health record analysis
- Natural language processing in healthcare
- Clinical text mining
Ethics & Regulation
- AI ethics in healthcare
- Regulatory frameworks and compliance
- Bias mitigation and fairness
- Patient privacy and data security
Drug Discovery
- AI-assisted drug design
- Molecular modeling and simulation
- Pharmaceutical research applications
AI in Medical Education
- Intelligent tutoring systems and adaptive learning
- Curriculum optimization and personalized learning paths
- AI-powered assessment and evaluation tools
- Virtual patient simulators and clinical training
- Medical knowledge extraction and educational content generation
Open Access Policy
JAIM is committed to open access publishing. All articles are freely available to readers worldwide, promoting the widest possible dissemination of research. Authors retain copyright and grant the journal a license to publish under a Creative Commons license.
Creative Commons Licensing
Default License: CC BY 4.0 (Creative Commons Attribution 4.0 International)
This license allows others to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. It allows for commercial use.
Alternate License (on request): CC BY-NC-ND 4.0 (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International)
Authors may request this more restrictive license, which allows others to download and share the work with attribution, but does not permit commercial use or derivative works. Requests must be made at the time of submission.
Peer Review Process
All submissions to JAIM undergo a double-blind peer review process. Manuscripts are evaluated by at least two independent reviewers with expertise in the relevant field. The review process focuses on:
- Scientific rigor and methodology
- Novelty and contribution to the field
- Clinical relevance and potential impact
- Clarity of presentation
- Ethical considerations
Review decisions typically include: Accept, Minor Revisions, Major Revisions, or Reject. The editorial team works closely with authors to ensure high-quality publications.
Indexing and Archiving
Journal for Artificial Intelligence in Medicine (JAIM™) is actively pursuing indexing and archiving in major databases to ensure wide discoverability and long-term preservation of published research.
Target Indexing
- Emerging Sources Citation Index (ESCI) - Application pending
- SCOPUS - Application pending
- Directory of Open Access Journals (DOAJ) - Application pending
- Google Scholar - Automatic indexing
- PubMed Central - Application pending
Digital Preservation
- Portico - Planned
- CLOCKSS - Planned
Submission Turnaround Time
JAIM™ is committed to providing timely and efficient review processes:
In-house Review
1-3 weeks
Initial editorial screening for scope, quality, and adherence to journal guidelines.
External Peer Review
1-3 months
Double-blind peer review by at least two independent expert reviewers.
Publication Ahead of Print
Within 1 month after acceptance
Accepted articles are published online immediately upon final acceptance.
Formal Publication
1-3 months after acceptance
Articles are formally published in the next available issue. Original Articles are prioritized.
Publication Schedule
Journal for Artificial Intelligence in Medicine (JAIM™) will publish on a continuous basis, with articles published online as they are accepted. Issues will be compiled twice yearly beginning in 2026.
Publication Frequency: Continuous online publication with biannual issue compilation (June and December).