JMIR Publications

ABSTRACT

Background:

The integration of artificial intelligence (AI) into healthcare has the potential to transform the industry, but it also raises ethical, regulatory, and safety concerns. This review article provides an in-depth examination of the benefits and risks associated with AI in healthcare, with a focus on issues like biases, transparency, data privacy, and safety.

Objective:

The objective of this review is to evaluate the advantages and drawbacks of incorporating AI in healthcare. This assessment centers on the potential biases in AI algorithms, transparency challenges, data privacy issues, and safety risks in healthcare settings.

Methods:

A comprehensive literature review was conducted to examine the current landscape of AI applications in healthcare and to identify pertinent ethical, regulatory, and safety considerations.

Results:

: Our review highlights the significant promise that AI holds in healthcare. It has the potential to enhance healthcare delivery by providing more accurate diagnoses, personalized treatment plans, and efficient resource allocation. Nevertheless, persistent concerns revolve around biases ingrained in AI algorithms, a lack of transparency in decision-making, the potential compromise of patient data privacy, and safety risks associated with AI implementation in clinical settings.

Conclusions:

In conclusion, while AI presents the opportunity for a healthcare revolution, it is imperative to address the ethical, regulatory, and safety challenges linked to its integration. Proactive measures are required to ensure that AI technologies are developed and deployed responsibly, striking a balance between innovation and the safeguarding of patient well-being. Our discussion section offers critical analysis and strategies to mitigate biases in AI algorithms, improve transparency through interpretable AI models, protect patient data privacy with robust data governance frameworks, and ensure the safe use of AI technologies in clinical contexts.