Volume 1 - Issue 4, November - December 2025

The rapid advancement of Internet of Things (IoT) technologies has revolutionized healthcare systems, enabling more efficient and personalized care. However, as healthcare devices and systems become increasingly interconnected, they also become vulnerable to a wide range of cyber threats. To address these challenges, next-generation artificial intelligence (AI) solutions are being integrated into IoT-enabled smart healthcare environments to enhance security. This paper explores the potential of AI-driven security frameworks for IoT-enabled smart healthcare systems, focusing on machine learning, anomaly detection, and predictive analytics to secure sensitive health data, monitor device integrity, and protect patient privacy. The paper examines how AI can improve threat detection, real-time monitoring, and automated responses to security breaches, thereby strengthening the overall cybersecurity posture of healthcare networks. Additionally, the paper highlights the challenges of integrating AI in healthcare environments, including data privacy concerns, regulatory compliance, and the need for explainable AI systems that healthcare professionals can trust. The integration of next-generation AI with IoT devices promises to create smarter, more resilient healthcare systems capable of safeguarding sensitive information and ensuring the integrity of critical healthcare services.