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Mesopotamian Journal of Artificial Intelligence in Healthcare

Aims & Scope

The Mesopotamian Journal of Artificial Intelligence in Healthcare (MJAIH) is dedicated to advancing research that develops, validates, and deploys artificial intelligence methods to improve healthcare outcomes. Our primary aim is to publish high-quality scholarly contributions—both theoretical and applied—that support safe, effective, and responsible AI in clinical and health settings.

MJAIH covers work spanning algorithm design, evaluation, clinical translation, and real-world implementation, with emphasis on methodological rigor, reproducibility, and measurable impact in healthcare practice.

Topics

Specific topics covered in the journal include:

  • AI in Medical Imaging: Development and evaluation of AI models for radiology, pathology, and multimodal imaging to enhance diagnostic accuracy, workflow efficiency, and clinical decision-making.
  • Predictive Analytics in Healthcare: Machine learning approaches for risk stratification, disease progression modeling, early warning systems, and outcome prediction.
  • AI in Remote Patient Monitoring: Intelligent systems for continuous health tracking, wearable technologies, and AI-supported telemedicine platforms.
  • Natural Language Processing (NLP) in Healthcare: Extraction and analysis of clinical information from electronic health records, medical reports, and biomedical literature.
  • AI in Mental Health: AI-based tools for screening, diagnosis, intervention planning, and digital therapeutics in mental health care.
  • AI in Genomics and Personalized Medicine: Computational methods for genomic data analysis, biomarker discovery, and individualized treatment strategies.
  • AI in Healthcare Administration and Health Systems: Optimization of hospital workflows, resource allocation, scheduling, and operational efficiency.
  • Ethical, Legal, and Regulatory Aspects of AI in Healthcare: Responsible AI design, fairness, transparency, privacy-preserving techniques, and compliance with healthcare regulations.

Types of Articles

The journal welcomes submissions of:

  • Original Articles: Full-length research papers with substantial contributions.
  • Short Communications: Complete manuscripts of significant importance (max. 4 figures/tables combined; up to 3,000 words).
  • Review Articles: Typically under 10,000 words with an unstructured abstract and up-to-date references (meta-analyses may be considered).
  • Mini Reviews: Focused reviews on timely topics (up to 5,000 words).
  • Editorials: Perspectives or commentary from the editorial board or invited experts relevant to the journal’s scope.