Plagiarism and Content Integrity Policy
The Journal of Artificial Intelligence in Healthcare & Life Sciences (JAIHL) enforces a zero-tolerance policy toward all forms of scientific misconduct, including plagiarism, data fabrication, falsification, and redundant publication. To maintain the highest standards of scientific integrity, all submitted manuscripts undergo strict automated similarity screening prior to peer review.
1. Plagiarism Screening Workflow
Every manuscript submitted to JAIHL is evaluated for text originality using industry-standard plagiarism detection software (iThenticate / Turnitin). This screening checks the manuscript against a comprehensive global database of millions of published peer-reviewed articles, books, institutional repositories, and public web pages.
2. Definition of Plagiarism and Misconduct
Plagiarism is defined as the unauthorized use or close imitation of another author's language, ideas, text, figures, charts, data, or findings without clear and appropriate attribution. This policy also applies strictly to:
- Self-Plagiarism / Text Recycling: The reuse of significant portions of an author’s own previously published work without proper citation or explicit disclosure.
- Redundant or Duplicate Publication: Submitting or publishing the same study, data, or core findings across multiple journals.
3. Generative AI Tools and Content Assessment
In addition to standard text similarity screening, JAIHL employs advanced editorial assessment and AI-detection protocols to monitor the responsible use of generative artificial intelligence (AI) tools.
- AI-assisted technologies (such as LLMs) cannot be listed as an author or co-author on any manuscript.
- Authors are required to transparently disclose any use of AI tools in manuscript preparation, data analysis, figure generation, or language editing within their submission metadata, in accordance with JAIHL’s Author Guidelines.
- Undisclosed AI-generated text, images, or synthetic data will be treated as a serious breach of academic integrity.
4. Editorial Evaluation and Decision Making
JAIHL does not use a rigid, automated numerical percentage threshold to accept or reject manuscripts. Instead, every similarity report and AI-related indicator is manually evaluated in its proper context by an expert handling editor.
Editorial decisions are based on the nature, location, and scientific significance of the overlapping content. If a manuscript displays minor overlap (e.g., in a standard methodology description), authors will be asked to revise and paraphrase. If unpermitted plagiarism, data manipulation, or structural copying is detected, the manuscript will be desk-rejected immediately, and the authors' institutions may be notified in severe cases