Artificial Intelligence-Driven Analysis Identifies Anterior Cruciate Ligament Reconstruction, Hip Arthroscopy and Femoroacetabular Impingement Syndrome, and Shoulder Instability as the Most Commonly Published Topics in Arthroscopy.

ABSTRACT:

Purpose

To use advanced topic modeling, specifically the Bidirectional Encoder Representations from Transformers Topic (BERTopic) Model, to analyze research topics in Arthroscopy: The Journal of Arthroscopic and Related Surgery (Arthroscopy).

Methods

Text data from the titles and abstracts of 7,304 original articles and reviews published in Arthroscopy between 1985 and 2023 were included to train the BERTopic artificial intelligence (AI) model for topic generation. BERTopic, an advanced natural language processing tool implemented in Python via Jupyter Notebook, uses contextual embeddings and clustering algorithms to efficiently group large datasets into topics based on semantic similarity. The AI-generated topics were then analyzed by frequency (i.e., the numb

SUBMITTER: Baird HBG 

PROVIDER: S-EPMC12276563 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature