Abujaber AA, Nashwan AJ. Ethical framework for artificial intelligence in healthcare research: A path to integrity. World J Methodol 2024; 14(3): 94071 [PMID: 39310239 DOI: 10.5662/wjm.v14.i3.94071]
Corresponding Author of This Article
Abdulqadir J Nashwan, MSc, Research Scientist, Department of Nursing, Hamad Medical Corporation, Rayyan Road, Doha 3050, Qatar. anashwan@hamad.qa
Research Domain of This Article
Computer Science, Artificial Intelligence
Article-Type of This Article
Editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Methodol. Sep 20, 2024; 14(3): 94071 Published online Sep 20, 2024. doi: 10.5662/wjm.v14.i3.94071
Ethical framework for artificial intelligence in healthcare research: A path to integrity
Ahmad A Abujaber, Abdulqadir J Nashwan
Ahmad A Abujaber, Department of Nursing, Hazm Mebaireek General Hospital (HMGH), Doha 3050, Qatar
Abdulqadir J Nashwan, Department of Nursing, Hamad Medical Corporation, Doha 3050, Qatar
Author contributions: Abujaber AA contributed to the manuscript's writing, editing, and literature review; Nashwan AJ contributed to the manuscript's writing, editing, and literature review.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: Https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Abdulqadir J Nashwan, MSc, Research Scientist, Department of Nursing, Hamad Medical Corporation, Rayyan Road, Doha 3050, Qatar. anashwan@hamad.qa
Received: March 10, 2024 Revised: April 18, 2024 Accepted: May 6, 2024 Published online: September 20, 2024 Processing time: 106 Days and 12.3 Hours
Abstract
The integration of Artificial Intelligence (AI) into healthcare research promises unprecedented advancements in medical diagnostics, treatment personalization, and patient care management. However, these innovations also bring forth significant ethical challenges that must be addressed to maintain public trust, ensure patient safety, and uphold data integrity. This article sets out to introduce a detailed framework designed to steer governance and offer a systematic method for assuring that AI applications in healthcare research are developed and executed with integrity and adherence to medical research ethics.
Core Tip: This editorial sets out to introduce a detailed framework designed to steer governance and offer a systematic method for assuring that artificial intelligence applications in healthcare research are developed and executed with integrity and adherence to medical research ethics.
