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Modeling New Trends in Bone Regeneration, using the BERTopic Approach
22
Zitationen
4
Autoren
2023
Jahr
Abstract
<b>Aim:</b> Bibliometric surveys are time-consuming endeavors, which cannot be scaled up to meet the challenges of ever-expanding fields, such as bone regeneration. Artificial intelligence, however, can provide smart tools to screen massive amounts of literature, and we relied on this technology to automatically identify research topics. <b>Materials & methods:</b> We used the BERTopic algorithm to detect the topics in a corpus of MEDLINE manuscripts, mapping their similarities and highlighting research hotspots. <b>Results:</b> Using BERTopic, we identified 372 topics and were able to assess the growing importance of innovative and recent fields of investigation such as 3D printing and extracellular vescicles. <b>Conclusion:</b> BERTopic appears as a suitable tool to set up automatic screening routines to track the progress in bone regeneration.
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