The International Journal of AI and Cybersecurity in Healthcare (IJAICH) is a peer-reviewed platform for high-quality research at the intersection of artificial intelligence, cybersecurity, and healthcare. The journal invites original articles, reviews, and applied studies that explore how intelligent technologies can improve patient care, optimize healthcare operations, and strengthen digital health ecosystems. IJAICH emphasizes secure, ethical, and trustworthy solutions in digital health—covering privacy protection, data integrity, resilience against cyber threats, and the broader impact of technology on healthcare systems. By uniting perspectives from computer science, medicine, cybersecurity, and policy, the journal provides a multidisciplinary forum to advance both knowledge and practice.

Scope of Journal

Scope of IJAICH includes, but is not limited to, the following areas:

• 1. Artificial Intelligence, Machine Learning, and Deep Learning in healthcare.
• 2. Secure medical data management, privacy, and patient confidentiality
• 3. Cybersecurity frameworks and threat detection for healthcare systems
• 4. Blockchain and distributed ledger technologies for trust and security in healthcare
• 5. Clinical decision support systems and intelligent diagnostics
• 6. Medical imaging, pattern recognition, and computer-aided detection
• 7. Personalized and precision medicine using data-driven approaches
• 8. Robotics, surgical assistance, and automation in healthcare environments
• 9. Internet of Medical Things (IoMT), wearable devices, and secure remote monitoring
• 10. Digital health platforms: telemedicine, mobile health (mHealth), and virtual care
• 11. Big data analytics for healthcare operations, outcomes, and resource planning
• 12. Public health informatics, epidemiology, and smart surveillance systems
• 13. Ethical, legal, and social considerations of AI and cybersecurity in healthcare
• 14. Healthcare policies, economics, and governance in the digital age

Open Access Policy

Publication Frequency