About this Research Topic

Background

Artificial Intelligence (AI) is revolutionizing the field of dentistry through its impactful advancements in diagnostic precision, treatment planning, and patient interactions. AI, empowered by sophisticated machine learning algorithms and vast data resources, proficiently analyzes dental radiographs, photographs, and other diagnostic records with unprecedented accuracy. These AI capabilities enable the early identification and management of dental conditions such as caries, periodontal disease, and various lesions, enhancing treatment outcomes and streamlining care timelines significantly.

This Research Topic aims to delve into the expansive role of AI in refining dental treatment plans and enhancing patient care. AI's predictive analytics are instrumental in equipping dentists with customized treatment strategies, which utilize detailed patient data to forecast outcomes and evaluate risks with greater accuracy. Moreover, the integration of AI with CAD/CAM technology is transforming the design and production of dental restorations and orthodontic devices, minimizing errors and boosting efficiency in dental practice operations.

In terms of scope, this topic is not merely focused on diagnostics but also explores how AI can be utilized to improve patient engagement and education. AI tools, including chatbots, provide patients with immediate access to essential information regarding oral health treatments and care post-procedure, thus elevating the quality of service and satisfaction. These technological advancements also streamline administrative processes such as scheduling and follow-up treatments, promoting adherence to dental care routines. Nevertheless, addressing challenges such as data privacy and the necessity for specialized training for dental professionals is paramount. The comprehensive exploration of this topic invites contributions in several key areas: (1) Periodontal and peri-implant analysis; (2) Metrics and benchmarking with AI tools; (3) Development and implementation of novel diagnostic instruments; (4) Automated systems to support enhanced clinical decision-making.

We encourage the submission of original research papers, clinical study reports, and review articles that evaluate in silico, in vitro, or in vivo models. These papers aim to illustrate technological progress and address the intricacies of AI application in contemporary dental practices.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Classification
• Clinical Trial
• Community Case Study
• Curriculum, Instruction, and Pedagogy
• Data Report
• Editorial
• General Commentary
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Classification
• Clinical Trial
• Community Case Study
• Curriculum, Instruction, and Pedagogy
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Policy Brief
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: AI in dentistry, dental AI technologies, AI-driven diagnostic tools, machine learning in dental care, AI-assisted treatment planning, predictive analytics in dentistry, CAD/CAM dental technologies, AI in oral health management, dental practice AI integrat

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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