Focus and Scope

International Journal of Artificial Intelligence in Health and Medicine covers a broad spectrum of research where AI technologies are leveraged to enhance health outcomes, streamline healthcare operations, and advance medical science. The journal welcomes high-quality contributions in, but not limited to, the following areas:

  • Medical Imaging and Diagnostics – AI methods for analyzing medical images (MRI, CT, X-ray, ultrasound) to support disease detection, diagnosis, and monitoring.

  • Predictive Analytics – AI-driven models for forecasting patient outcomes, disease trajectories, and treatment responses using historical and real-time data.

  • Personalized Medicine – AI applications for tailoring interventions based on genetic, environmental, and lifestyle profiles.

  • Electronic Health Records (EHRs) – Intelligent algorithms for extracting, integrating, and analyzing EHR data to improve decision-making and identify healthcare trends.

  • Natural Language Processing (NLP) in Healthcare – Techniques for processing clinical notes, patient narratives, and other unstructured health texts.

  • Telemedicine and Remote Monitoring – AI systems for virtual consultations, continuous patient monitoring, and remote healthcare delivery.

  • Robotics in Surgery and Rehabilitation – AI-powered robotic assistance for precision surgery, rehabilitation, and procedural guidance.

  • Drug Discovery and Development – AI models for identifying drug candidates, predicting efficacy and safety, and optimizing clinical trial design.

  • Clinical Decision Support Systems (CDSS) – AI-based tools providing evidence-informed recommendations to clinicians.

  • Patient Management and Care Coordination – Systems that enhance patient flow, optimize resource allocation, and coordinate multidisciplinary care.

  • Health Informatics – Integration and analysis of multi-source health data (e.g., wearables, mobile apps) for public health and population-level interventions.

  • Ethics, Policy, and Governance of AI in Healthcare – Studies on ethical considerations, bias mitigation, privacy, consent, and regulatory frameworks.

  • AI in Mental Health – Tools for early detection, monitoring, and intervention in mental health disorders, including conversational agents and virtual therapy.

  • AI in Genomics and Precision Health – Applications for identifying genetic markers, interpreting genomic data, and developing precision health strategies.

  • Operational Efficiency in Healthcare – AI solutions to improve hospital workflows, reduce wait times, and optimize supply chains.

By encompassing these domains, the journal serves as a comprehensive, up-to-date platform for advancing AI innovations that shape the future of healthcare.