Evaluating artificial intelligence guidelines for authorship in leading hematology journals: A cross-sectional study
Background: Artificial intelligence (AI) is transforming hematology research by improving data analysis, enhancing systematic reviews, and optimizing clinical decision-making. Despite its growing potential, AI raises concerns regarding transparency, reproducibility, and ethical standards. This study evaluates how leading hematologic medical journals address the AI integration in research through their author guidelines and policies.
Publication Details
- Journal
- SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)
- Published
- 2025-02-14
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00