Personalised Prosthodontic Care: Integrating Artificial Intelligence with 3D Printing

  • 622

    Total views and downloads

About this Research Topic

This Research Topic is still accepting articles.

Background

Modern technology plays a pivotal role in improving both clinical and patient-related outcomes by assisting in complex treatment planning and minimising human error. Through CAD/CAM systems, AI-driven platforms can analyse intraoral scans and patient data to generate highly customised and precise prosthetic designs tailored to each individual. Furthermore, the integration of AI algorithms with 3D printing technology enables a patient-specific approach that enhances both functional and esthetic results, reduces chairside time, and improves overall treatment predictability. Notably, additive manufacturing (AM), or 3D printing, has emerged as a promising alternative to subtractive manufacturing (SM) in the fabrication of various dental restorations. AM addresses limitations such as material waste, microfractures, and design constraints commonly associated with SM. The future of prosthodontics is moving toward intelligent, automated, and personalised care - a vision increasingly attainable through the convergence of AI and 3D printing.

The primary goal of this Research Topic is to explore the potential of a synergistic approach of AI and 3D printing technologies in modern prosthodontics, ultimately enabling individualised care for each patient. AI, by processing intraoral scans and other clinical inputs, may optimise restorative design according to specific patient conditions and requirements, facilitating the creation of biomimetic dental restorations. In addition to customisation and precision, AI also enhances predictability through appropriate material selection and fabrication processes. The advent of 3D printable dental materials brings new possibilities for restorations with superior mechanical properties, esthetics, and biocompatibility. By compiling studies that investigate the role of AI in prosthodontics and those that focus on the development and application of 3D printable dental materials, this Research Topic aims to shape the future of personalised prosthodontics. Our objective is to highlight the benefits and future impact of integrating AI and 3D printing in restorative dentistry.

The Research Topic welcomes contributions that address a broad range of themes related to the integration of AI and 3D printing in prosthodontics.

We invite authors to address the following themes:
• Materials used for 3D printing in dental applications
• Benefits of AI in terms of accuracy, speed, and customisation
• Clinical workflow: From intraoral scanning to AI modelling to 3D-printed restorations
• Software and hardware solutions currently in use
• Enhanced precision and fit of restorations
• Reduced turnaround times and chairside adjustments
• Improved patient satisfaction and clinical outcomes
• Data quality, algorithm transparency, and bias
• Regulatory and ethical considerations
• Cost-effectiveness and training requirements for implementation

Research Topic Research topic image

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
  • FAIR² Data

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

Keywords: 3D Printing, Artificial Intelligence, Prosthodontics, Customization, Dental Materials, Clinical Outcomes

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.

Topic editors

Manuscripts can be submitted to this Research Topic via the main journal or any other participating journal.

Impact

  • 622Topic views
View impact