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Evaluating artificial intelligence guidelines for authorship in leading hematology journals: A cross-sectional study

Year: 2025

Type: article

Abstract: 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.

Source: SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)

Authors: Smith, Tim, O’Brien, Cameron, Thayani, Zohaib, Tran, Andrew V., Crotty, Patrick, Young, Alec, Ford, Alicia Ito, Vassar, Matt

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W7110619359

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