Heliyon· 2024Q1· Review
Ethical and regulatory challenges of AI technologies in healthcare: A narrative review
- 851citations
- Q1SCImago
- 2024year
Short summary
AI in healthcare faces significant ethical and regulatory hurdles that require a robust governance framework for successful implementation.
AI-generated from the title and abstract; the full text is not read.
Key points
- AI offers significant potential for improving clinical processes, diagnostics, and personalized treatment.
- The deployment of AI in healthcare introduces substantial ethical, legal, and regulatory challenges.
- A robust governance framework is essential for the acceptance and successful implementation of AI in clinical settings.
- The review provides recommendations for stakeholders involved in AI development and implementation in healthcare.
AI-generated from the title and abstract; the full text is not read.
Abstract
Over the past decade, there has been a notable surge in AI-driven research, specifically geared toward enhancing crucial clinical processes and outcomes. The potential of AI-powered decision support systems to streamline clinical workflows, assist in diagnostics, and enable personalized treatment is increasingly evident. Nevertheless, the introduction of these cutting-edge solutions poses substantial challenges in clinical and care environments, necessitating a thorough exploration of ethical, legal, and regulatory considerations. A robust governance framework is imperative to foster the acceptance and successful implementation of AI in healthcare. This article delves deep into the critical ethical and regulatory concerns entangled with the deployment of AI systems in clinical practice. It not only provides a comprehensive overview of the role of AI technologies but also offers an insightful perspective on the ethical and regulatory challenges, making a pioneering contribution to the field. This research aims to address the current challenges in digital healthcare by presenting valuable recommendations for all stakeholders eager to advance the development and implementation of innovative AI systems.
The authors' abstract, as published at the source. Heliyon, 2024 · DOI ↗
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Field: Health Informatics
Health InformaticsMedicine