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Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

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Published on: February 23, 2024

Collaboration spotting for dental science.

E Leonardi¹, A Agocs, S Fragkiskos

¹Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Roma, Rome, Italy - emanuele.leonardi@roma1.infn.it.

Minerva Stomatologica

|October 7, 2014

Summary

This summary is machine-generated.

This study introduces Collaboration Spotting, an automated system that maps research collaborations and technologies in Dental Science. It visualizes key players and their connections, aiding researchers in understanding the state-of-the-art and evaluating contributions.

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Area of Science:

Biomedical Engineering
Dental Science
Materials Science

Background:

Identifying key players and collaborations in emerging scientific fields is crucial for research advancement.
Visualizing technological relationships aids in understanding research landscapes.
Dental Science research requires tools to navigate complex publication and patent data.

Purpose of the Study:

To develop an automated system, Collaboration Spotting, for collecting and visualizing publication and patent information.
To identify key players, collaborations, and related technologies within a specific scientific domain.
To apply the system to Dental Science, focusing on technologies related to bone regeneration.

Main Methods:

Utilizing a keyword-based logical filter to extract publications from the Web of Science™ database.
Expert validation of extracted publication lists.
Automatic generation of interactive Sociograms (player collaborations) and Technograms (technology relations) using a dedicated database and software system.

Main Results:

The system successfully generated Sociograms for technologies related to bone regeneration in oro-maxillo-facial defects.
Specific focus was placed on Porous HydroxyApatite (HA) as a bone substitute and scaffold for Mesenchymal Stem Cells.
The generated interactive maps are accessible online, illustrating player and technology networks.

Conclusions:

The Collaboration Spotting system provides an automated method for mapping the state-of-the-art in specific technologies.
The generated interactive maps serve as valuable tools for researchers and research organizations.
The system's applicability to Dental Science was demonstrated, with plans to expand its scope for broader utility.