Transforming health care with artificial intelligence: Regulations, challenges, and future directions

Abstract

The integration of artificial intelligence (AI) into healthcare systems holds immense promise, greatly enhancing various aspects, including diagnostic imaging, personalized treatment, drug discovery, and handling electronic health records. Nevertheless, many challenges have been identified with AI’s integration in health care, including data privacy and security, algorithmic bias, and regulatory complexities. Different regulations, such as the Food and Drug Administration (FDA), General Data Protection Regulation (GDPR), European Union AI Act, and Health Insurance Portability and Accountability Act (HIPAA), played a crucial role in balancing the benefits and risks of AI, ensuring the privacy of patients’ sensitive data, ethical use of AI, accountability, transparency, and optimized patient care. Patient participation is essential for the successful use of AI in health care. Indeed, AI holds the promise to redesign the current healthcare systems. However, the expansion of integrating AI in health care necessitates collaboration among regulatory bodies to share experiences and harmonize efforts in achieving desired goals.

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