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Artificial Intelligence is rapidly transforming modern dentistry, from AI-powered radiographic analysis to chatbots assisting with post-op care instructions. However, the success of AI in clinical settings hinges on one crucial element: patient trust. In dentistry, where patient data includes sensitive records and high-resolution images, concerns about data security can act as a roadblock.

The integration of artificial intelligence (AI) and blockchain technology is revolutionizing dental care by securing patient imaging records and enhancing diagnostic precision. Dental AI startups, such as Anablock, are pioneering solutions that combine AI’s analytical power with blockchain’s secure, decentralized ledger to protect sensitive data, including radiographs and 3D scans while improving patient outcomes.

Confidence in AI’s reliability, transparency, and ethical use is essential for adoption. This article examines factors influencing trust and perception in AI-driven workflow automation, including transparency, reliability, privacy, collaboration, and cultural considerations. Addressing these elements is vital for creating trustworthy AI solutions that enhance efficiency and patient experiences in dental practices.

Conversational AI, especially in the form of custom large language models (LLMs), is ushering in a new era of chairside assistance in dentistry. These advanced systems help dental professionals by streamlining workflows, improving patient communication, and supporting clinical decisions in real time.

Artificial Intelligence is reshaping modern dentistry by offering powerful tools that can forecast tooth decay and gum disease before symptoms arise. These predictive systems enhance early intervention, personalize treatment, and improve long-term oral health outcomes. However, patient trust remains a key determinant of AI adoption.