Machine learning model identifies tibial anatomical variables as potential risk factors for anterior cruciate ligament injury

Authors

Institutions

Publication Details

Journal
Knee Surgery Sports Traumatology Arthroscopy
Published
2026-02-06
DOI
https://doi.org/10.1002/ksa.70322
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine learning model identifies tibial anatomical variables as potential risk factors for anterior cruciate ligament injury

Cheng-Hao Kao, Naveen Chandrashekar, James Slauterbeck, Javad Hashemi
Knee Surgery Sports Traumatology Arthroscopy
Knee injuries and reconstruction techniques
article

Machine learning model identifies tibial anatomical variables as potential risk factors for anterior cruciate ligament injury

Cheng-Hao Kao, Naveen Chandrashekar, James Slauterbeck, Javad Hashemi
article en

Abstract

No abstract available for this paper.
Knee Surgery Sports Traumatology Arthroscopy
University of Waterloo (CA), Robeson Community College (US), Florida Atlantic University (US)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 65%
Knee injuries and reconstruction techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.