Ensuring Patient Privacy and Data Security in AI-Driven Healthcare Systems
Abstract
Artificial Intelligence (AI) is rapidly transforming healthcare by enhancing diagnostic accuracy, personalizing treatment, and optimizing administrative tasks. However, the integration of AI in healthcare raises significant ethical concerns that must be addressed to ensure equitable and responsible use. This paper explores the ethical challenges associated with AI-driven healthcare, including issues related to privacy, bias, transparency, and decision-making autonomy. It also examines existing regulatory frameworks and provides recommendations for future practices to balance innovation with ethical responsibility.
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Published
2023-05-20
How to Cite
Petrov, I. (2023). Ensuring Patient Privacy and Data Security in AI-Driven Healthcare Systems. MZ Computing Journal, 4(1). Retrieved from http://mzresearch.com/index.php/MZCJ/article/view/244
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