SCICONX Journal of Artificial Intelligence in Medical Research

The integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies into dentistry is revolutionizing clinical diagnostics, treatment planning, patient monitoring, and practice management. However, this digital transformation introduces significant cybersecurity vulnerabilities that must be addressed to ensure patient safety and data privacy. This paper provides a comprehensive review of current AI and IoT applications in dentistry, including diagnostic imaging systems, smart dental devices, and tele-dentistry platforms. We analyze the cybersecurity threat landscape specific to dental informatics, examining risks such as data breaches, ransomware attacks, and medical device hijacking. Furthermore, we propose a multi-layered cybersecurity management framework incorporating blockchain technology, federated learning, and zero-trust architectures tailored to dental practice environments. Finally, we discuss regulatory compliance requirements including HIPAA and GDPR, and present recommendations for dental practitioners to implement secure, AI-driven digital workflows. This review synthesizes findings from 146 peer-reviewed articles and 18 technology platforms published between 2020 and 2025, providing a roadmap for responsible technological adoption in dentistry.