Total Knee Arthroplasty: A Curated AI Literature Review

Total Knee Arthroplasty: A Curated AI Literature Review

by Alfred J. Tria Jr. , Giles R. Scuderi 

This volume presents the first curated AI-driven literature review on primary and revision total knee arthroplasty techniques and technologies. Selected and contextualized by leading knee surgery experts, it offers a robust synthesis of current knowledge on implant design, biomechanics and kinematics, imaging innovations, surgical approaches, procedural techniques, and clinical outcomes.

The auto-summaries included in this book were generated using a recursive clustering algorithm through the Dimensions Auto-summarizer by Digital Science, then refined and organized by Subject Matter Experts and the editorial team. The editors curated the selection of SN content to be summarized and determined the sequence in which each chapter appears.

Readers should note that these auto-summaries are extractive: they consist of original sentences drawn from source publications but do not represent the full scope of any individual paper. Only published SN content is included, reflecting the current experimental nature of machine-generated scholarly reviews.

This pioneering resource highlights both the promise and limitations of AI-assisted synthesis while providing clinicians, researchers, and trainees with an accessible overview of contemporary developments in total knee arthroplasty.