Artificial intelligence has become a transformative force in modern healthcare, influencing both clinical and administrative domains. This chapter examines the contribution of AI to diagnostic systems, treatment planning, chronic disease management, medical imaging, mobile health applications, and hospital operations. Real-world–inspired case studies demonstrate that AI enhances the accuracy, speed, and efficiency of health services while supporting data-driven decision-making across diverse medical fields.

Despite these advantages, the expanding use of AI introduces several concerns, including privacy protection, data security, algorithmic bias, transparency, and accountability. Ensuring ethical and responsible AI deployment requires strong regulatory frameworks, secure technical infrastructures, and improved digital literacy among healthcare professionals. Transparent systems and well-defined governance structures are essential for maintaining trust and safeguarding patient rights.

Looking ahead, AI is expected to play an even more central role in health systems. Fully automated imaging reports, digital twin models, AI-driven drug discovery, personalized health assistants, and intelligent hospital management platforms will reshape the delivery of care. Managing this transformation responsibly will depend on human-centered design, interdisciplinary collaboration, and adaptable policies that balance innovation with safety and equity.