For submission of your manuscript, please visit the Submit Manuscript page or alternatively, you may send it as an email attachment to editor.jamr@sciconxjournals.com
The Journal of Artificial Intelligence in Medical Research (JAIMR) is a peer-reviewed, open access journal dedicated to advancing the integration of artificial intelligence (AI), machine learning, and data science in the field of medicine. The journal provides a global platform for researchers, clinicians, and technologists to publish innovative studies, critical reviews, and breakthrough applications that are transforming healthcare practices and medical research.
✦ Aim and Scope
JAIMR covers a wide range of topics at the intersection of AI and medicine, including but not limited to:
The journal aims to bridge the gap between computer science and medical research, fostering collaboration between engineers, data scientists, and healthcare professionals.
✦ Why Publish with JAIMR?
✦ Fast Editorial Execution and Review Process (FEE-Review Process)
Authors who are willing to publish their articles under this mode can make a pre-payment of € 99 towards express peer-review and editorial decision.
First editorial decision in 3 days and final decision with review comments in 5 days from the date of submission. Galley proof generation will be done in next 2 days from acceptance or maximum 5 days (For manuscripts notified for revision by external reviewer).
Manuscripts accepted for publication will be charged regular APC.
Authors retain the copyright of their publication and the final version of the article will be published in both HTML and PDF formats as well as XML formats for transmitting to indexing databases. The editorial team of the Journal will ensure adherence to scientific publication guidelines.
✦ Audience
The journal serves medical researchers, clinicians, healthcare practitioners, AI specialists, data scientists, and policy makers who are driving innovation in healthcare.
✦ Publishing Model
As an open access journal, JAIMR ensures that all published articles are freely accessible to the global research community, promoting knowledge sharing and accelerating scientific advancement.