Journal for Artificial Intelligence in Medicine (JAIM™)
Where Medicine Meets Machine Intelligence
Ethical, Clinical, and Computational Frontiers of AI in Medicine
Open Access
Freely accessible research advancing the intersection of artificial intelligence and clinical practice.
Peer Reviewed
Rigorous peer review process ensuring high-quality, evidence-based research publication.
Ethical Standards
Committed to COPE ethics compliance and responsible AI development in healthcare.
Global Reach
Connecting researchers, clinicians, and technologists worldwide to advance medical AI.
Inaugural Editorial
Read the founding vision for the Journal for Artificial Intelligence in Medicine.
Read "Launching JAIM"Scope & Focus Areas
Clinical AI Applications
Diagnostic systems, treatment recommendations, and clinical decision support tools.
Medical Imaging AI
Computer vision, radiology AI, pathology automation, and imaging analysis.
Predictive Analytics
Disease prediction, risk stratification, and outcome forecasting models.
Ethical & Regulatory
AI ethics in healthcare, regulatory frameworks, bias mitigation, and fairness.
Natural Language Processing
Clinical documentation, EHR analysis, medical text mining, and knowledge extraction.
Drug Discovery & Development
AI-assisted drug design, molecular modeling, and pharmaceutical research.
AI in Medical Education
Intelligent tutoring systems, curriculum optimization, assessment tools, and adaptive learning platforms.