Optimizing Dental Practice Performance Through Artificial Intelligence: Enhancing Patient Safety, Scheduling, Operations, Marketing, and Financial Management.

Artificial intelligence (AI) is rapidly transforming the landscape of dental practice, enhancing both clinical and administrative functions. This article examines the integration of AI across five critical areas: patient safety, scheduling, operations, marketing, and financial management. Through real-world examples and evidence-based discussion, the article explores the successful and unsuccessful implementation of AI tools in modern dental settings. Examples include diagnostic imaging platforms aimed at improving case acceptance, AI scheduling systems intended to reduce no-show rates, emerging ambient AI scribing tools that reduce documentation burden, and AI-powered treatment planning systems for implantology and orthodontics. Challenges such as data integration, system interoperability, algorithmic bias, and ethical concerns are addressed to provide a balanced view. The authors conclude that while AI cannot replace clinical judgment, it serves as a powerful adjunct to human expertise, improving efficiency, accuracy, and the overall patient experience in dentistry.

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Journal
PubMed
Published
2026-07-16
Primary Topic
Artificial Intelligence in Healthcare and Education
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article
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article

Optimizing Dental Practice Performance Through Artificial Intelligence: Enhancing Patient Safety, Scheduling, Operations, Marketing, and Financial Management.

Dave Lingerfelt, J.-D. Moyer, James Dockins
PubMed
Artificial Intelligence in Healthcare and Education
article

Optimizing Dental Practice Performance Through Artificial Intelligence: Enhancing Patient Safety, Scheduling, Operations, Marketing, and Financial Management.

Dave Lingerfelt, J.-D. Moyer, James Dockins
article en

Abstract

Artificial intelligence (AI) is rapidly transforming the landscape of dental practice, enhancing both clinical and administrative functions. This article examines the integration of AI across five critical areas: patient safety, scheduling, operations, marketing, and financial management. Through real-world examples and evidence-based discussion, the article explores the successful and unsuccessful implementation of AI tools in modern dental settings. Examples include diagnostic imaging platforms aimed at improving case acceptance, AI scheduling systems intended to reduce no-show rates, emerging ambient AI scribing tools that reduce documentation burden, and AI-powered treatment planning systems for implantology and orthodontics. Challenges such as data integration, system interoperability, algorithmic bias, and ethical concerns are addressed to provide a balanced view. The authors conclude that while AI cannot replace clinical judgment, it serves as a powerful adjunct to human expertise, improving efficiency, accuracy, and the overall patient experience in dentistry.

PubMedVol. 47(4)
Rockhurst University (US), University of Missouri–Kansas City (US)
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
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