Authors: Omid Panahi, Uras Panahi.
Background: Oral implantology has witnessed significant advancements in recent years, with AI and IoT emerging as powerful tools to enhance diagnostics and treatment planning. This review explores the current landscape of AI powered IoT solutions in oral implantology, highlighting their potential to revolutionize clinical practice.
Methods: A comprehensive literature search was conducted across various databases, including PubMed, Scopus, and Web of Science, to identify relevant studies on the application of AI and IoT in oral implantology. The search terms included "artificial intelligence," "internet of things," "oral implantology," "diagnostics," and "treatment planning."
Results: AI algorithms have demonstrated remarkable capabilities in analyzing complex datasets, such as CBCT scans and intraoral images, to accurately assess bone quality, identify anatomical structures, and detect potential complications. IoT devices, such as smart implants and wearable sensors, enable continuous monitoring of implant stability, healing progress, and patient-specific factors. The integration of AI and IoT facilitates personalized treatment plans, optimized surgical procedures, and improved patient outcomes.
Conclusions: AI-powered IoT solutions hold immense promise for transforming diagnostics and treatment planning in oral implantology. By leveraging the power of data analysis and connectivity, these technologies can enhance clinical decision-making, improve treatment outcomes, and pave the way for a new era of personalized dental care.
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