The review “Addressing Bias, Privacy, Security, and Patient Autonomy in AI-Driven Healthcare” published in Cureus emphasizes the critical need for robust guidelines in the implementation of artificial intelligence in healthcare. It identifies bias in AI algorithms as a significant concern, potentially leading to disparities in patient treatment. Privacy and security issues arise from the handling of sensitive health data, necessitating stringent measures to protect patient information. Additionally, the review highlights the importance of maintaining patient autonomy, ensuring that individuals retain control over their healthcare decisions even when AI tools are utilized. To foster trust and accountability, it advocates for transparency in AI systems and the development of ethical frameworks that prioritize patient rights. The synthesis of these elements underlines the importance of creating a balanced approach to AI in healthcare, promoting equity and safeguarding fundamental patient interests. This comprehensive overview serves as a call to action for stakeholders in the healthcare sector.
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