Ethical Challenges and Opportunities in AI-Driven Healthcare

Dr. Amina Islam ()

Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930), 2024, vol. 3, issue 1, 102-114

Abstract: The integration of Artificial Intelligence (AI) into healthcare has brought transformative benefits, including enhanced diagnostics, personalized medicine, and improved operational efficiency. However, this rapid adoption also presents ethical challenges that must be addressed to ensure equitable and responsible implementation. Key issues include data privacy and security, algorithmic bias, transparency, accountability, and the potential for AI to exacerbate existing health disparities. This article examines these ethical dilemmas, offering a comprehensive analysis of their implications for patients, healthcare providers, and policymakers. In parallel, it explores the opportunities AI presents to uphold ethical standards, such as improving global health equity, advancing patient-centered care, and fostering trust through explainable AI models. By addressing these challenges and leveraging opportunities, stakeholders can pave the way for an ethically sound future in AI-driven healthcare.

Keywords: Artificial Intelligence (AI); Healthcare Ethics; Data Privacy; Algorithmic Bias; Explainable AI; Health Disparities (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://japmi.org/index.php/japmi/article/view/27/22 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abu:abuabu:v:3:y:2024:i:1:p:102-114:id:27

Access Statistics for this article

More articles in Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930) from Open Knowledge
Bibliographic data for series maintained by By Openjournaltheme ().