Trends in Artificial Intelligence Research Within Podiatric and Orthopedic Foot and Ankle Literature: A Bibliometric Analysis

Abstract

The purpose of this study is to provide a comprehensive review of recent trends in podiatric and orthopedic foot and ankle literature related to artificial Intelligence (AI).By analyzing the volume and progression of research publications over the past decade, this study aims to characterize the integration and interest of AI in this specialized field.Articles referencing AI within the field of podiatric and orthopedic foot and ankle surgery were retrieved from the top 10 SCImago-ranked journals focused on the foot and ankle.The search query "Artificial Intelligence" was entered into the general search bar for each journal.A thorough review was then conducted.Articles were further broken down into research design types.Inclusion criteria for analysis included research articles related to or specifically about AI which were deemed relevant following independent review.All abstract only papers, editorials, and those listed as "other" were excluded from analysis.Journals were then subdivided by specialty into Podiatric and Orthopedics, as defined by the Editor-in-Chief's professional degree, revealing no significant difference in relevance of AI-related articles between the two groups (P = 0.4921).The journal Foot and Ankle Surgery had the highest percentage of relevant articles at 70.83%.Analysis demonstrated a marked increase in AI-related publications over the past decade, with a sharp rise in the past two years (2.78% in 2015 to 33.33% in 2025).These findings underscore a notable increase in AI-focused research within podiatric and orthopedic literature, reflecting a growing interest in AI's potential to enhance both clinical practice and research.This review highlights the accelerating trajectory of AI integration in these specialties, emphasizing the need for continued investigation.

Ähnliche Arbeiten