AI-Based Academic Integrity System

AI-Based Academic Integrity & Quality Assurance System Announcement

Libyan Journal of Medical and Applied Sciences is pleased to announce that starting from Volume 04, Issue 03, the journal will implement a comprehensive AI-powered Academic Integrity and Quality Assurance System to enhance transparency, ethical publishing, and scientific reliability.

Key AI Tools & Safeguards Introduced

This pioneering initiative introduces advanced tools that ensure research integrity and prevent unethical practices, including:

• Article Risk Assessment • Retracted Citations Detection • Citation Risk Assessment • Advanced Author Search • Concerning Collaboration Network Analysis • Conflict of Interest Monitoring • Deep Self-Citations Detection • Coercive Citations Identification • “Hallucinated” Citations Detection • Tortured Phrases Detection

Notice: This initiative reflects Libyan Journal of Medical and Applied Sciences’s full compliance with the DOAJ Guide v2.6 (2025) standards for open-access publishing and academic ethics.

Strategic Objectives & Mission

By launching this AI-driven integrity framework, Libyan Journal of Medical and Applied Sciences reinforces its leadership in the region and reaffirms its mission to:

  • Protect researchers from predatory or misleading citations.
  • Ensure absolute credibility of peer-reviewed publications.
  • Strengthen international confidence in scholarly journals.