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How AI Is Reducing Administrative Burden in Dental Clinics

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Author
Vuk Dukic
Founder, Senior Software Engineer

Dental clinics often struggle with high administrative workloads—from verifying insurance details and processing claims to managing patient schedules and reminders. Artificial Intelligence is changing that. By automating time-consuming, repetitive tasks, AI is helping dental professionals focus more on patient care. However, success depends on whether staff trust the systems and find them easy to use.

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Automating Dental Appointments and Follow-Ups With AI

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Author
Vuk Dukic
Founder, Senior Software Engineer

Artificial Intelligence is transforming dental care by automating appointment scheduling, improving follow-up communication, and streamlining administrative tasks. However, the successful integration of AI into dental practices depends heavily on patient trust and perception. Patients must feel confident in AI’s reliability, transparency, and ethical use to embrace its applications.

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Anablock Solutions for Dental Practices: A Comprehensive Review

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Author
Vuk Dukic
Founder, Senior Software Engineer

Anablock delivers a suite of solutions specifically crafted for dental practices, with a strong emphasis on leveraging AI and data analytics. This innovation allows dental clinics to transform patient care processes, improve operational workflows, and maintain high service quality standards. The primary focus of Anablock's solutions lies in streamlining patient interactions and predictive analytics, setting a competitive edge over others in the market.

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Patient Trust and Perception of AI in Medical Care

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Author
Vuk Dukic
Founder, Senior Software Engineer

Artificial Intelligence (AI) is transforming healthcare by enhancing diagnostic accuracy, personalizing treatment plans, and streamlining operations. However, the successful integration of AI in medical care depends heavily on patient trust and perception. Patients must feel confident in AI’s reliability, transparency, and ethical use to embrace its applications

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AI Adoption in Healthcare: Influencing Factors

Published
Author
Vuk Dukic
Founder, Senior Software Engineer

AI technologies, particularly machine learning (ML), deep learning (DL), and natural language processing (NLP), are increasingly prevalent in healthcare. Large Language Models (LLMs) leverage deep learning and large datasets to process text-based content. However, the accuracy, reliability, and performance of AI algorithms must be comprehensively tested using diverse datasets to avoid overfitting and ensure proper validation.

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