Aims & Scope
The Journal of Artificial Intelligence in Healthcare & Life Sciences (JAIHL) is an international, peer-reviewed, open-access journal that aims to advance transformative research at the intersection of computational intelligence, biomedical science, and clinical practice. The journal provides a scholarly platform for the dissemination of high-quality, original research addressing complex challenges in health and life sciences through innovative applications of artificial intelligence.
JAIHL publishes original research articles, systematic reviews, methodological and technical papers, short communications, and editorial perspectives. The scope of the journal includes, but is not limited to, the following areas:
- Medical AI & Diagnostics: Development, validation, and clinical evaluation of artificial intelligence models for medical imaging, disease diagnosis, prognostic prediction, and digital pathology.
- Drug Discovery & Genomics: Applications of machine learning and deep learning in drug design, target identification, genomics, proteomics, systems biology, and personalized medicine.
- Clinical Decision Support Systems: AI-driven tools for treatment recommendation, clinical workflow optimization, risk stratification, outcome prediction, and precision oncology.
- Healthcare Data Science: Natural language processing (NLP) for electronic health records (EHRs), biomedical text mining, knowledge graph construction, and large-scale healthcare data analytics.
- Public & Global Health AI: Artificial intelligence applications in epidemiology, disease surveillance, population health modeling, health systems research, health policy planning, and the reduction of health disparities.
- AI Ethics, Governance & Translational Research: Studies addressing fairness, transparency, explainability, accountability, and regulatory pathways for artificial intelligence in healthcare, with an emphasis on real-world implementation and societal impact.
