About the Journal
Focus and Scope
Journal of Artificial Intelligence and Medical Diagnostics (JAIMD) is dedicated to the advancement of AI-driven diagnostic tools, transforming healthcare through intelligent automation and machine learning innovations. The journal emphasizes research that enhances early disease detection, clinical decision-making, and AI-assisted medical workflows.
Key Topics Include:
- AI-powered medical imaging and automated diagnosis systems
- Deep learning applications in pathology, radiology, and genomics
- Risk assessment models for predictive healthcare and patient monitoring
- Explainable AI (XAI) in medical diagnostics for improved transparency
- Ethical considerations and regulatory frameworks for AI in clinical practice
JAIMD invites contributions in various formats, including original research, reviews, case studies, and applied AI developments in medical diagnostics.
Open Access Policy
As an open-access journal, JAIMD ensures unrestricted access to all published research, supporting knowledge exchange across medical and AI communities.
Authors retain copyright and publish under the Creative Commons Attribution 4.0 International License (CC BY 4.0) for wide dissemination with proper credit.
Copyright Notice
Authors publishing in JAIMD agree to:
- Retain copyright while allowing the journal first publication rights.
- Distribute their work under CC BY 4.0 for free accessibility and adaptation.
- Share their research on public repositories to enhance global reach.
Sponsorship and Disclosure
JAIMD remains independent, ensuring that any external funding sources are disclosed for transparency and integrity.
Archiving and Preservation
All JAIMD content is preserved through LOCKSS and CLOCKSS, ensuring continuous availability.
Privacy Statement
Personal information of contributors and readers is strictly used for editorial processes and is never shared without consent.
Our Vision
JAIMD aims to revolutionize medical diagnostics through AI, fostering a future where technology enhances healthcare accuracy and efficiency.
Email: journal@jaimd.com
Website: www.jaimd.com