Work

Utilization of AI in top surgery literature: Insights from a cross-sectional study

Year: 2025

Type: article

Abstract: Background: Artificial intelligence (AI) is reshaping the landscape of surgical research by optimizing data analysis, systematic reviews, and clinical applications. Despite its potential, the integration of AI introduces important challenges, including transparency, ethical usage, and the reproducibility of findings. Addressing these issues is essential to ensure responsible and effective implementation within the field. This study investigates how leading surgical journals confront these challenges and embrace emerging opportunities by analyzing their author instructions and editorial policies. Examining these guidelines offers valuable insights into the evolving role of AI in surgical research and its potential impact on the future of the field.

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

Authors: Von, Pau, Hudgens, Benjamin, Perez, Luis Frias, Barks, Noah, Stadler, Kellen, Young, Alec, Tran, Andrew V., Crotty, Patrick, 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: W7110463513

FWCI:

Cites:

Cited by:

Related to: