High specificity of an AI‐powered framework in cross‐checking male professional football anterior cruciate ligament tear reports in public databases

Authors

Thor Einar Andersen (ORCID: https://orcid.org/0000-0003-4172-4518)
Romain Seil (ORCID: https://orcid.org/0000-0001-8806-9384)
Bernd Grimm (ORCID: https://orcid.org/0000-0003-4585-4643)
Caroline Mouton (ORCID: https://orcid.org/0000-0002-9582-6870)
Pedro Diniz (ORCID: https://orcid.org/0000-0001-9234-7041)
Christophe Ley (ORCID: https://orcid.org/0000-0003-2751-8902)

Institutions

University of Lisbon (PT)
Centre Hospitalier de Luxembourg (LU)
University of Luxembourg (LU)
Luxembourg Institute of Health (LU)
Oslo Sports Trauma Research Center (NO)
Institute for Biotechnology and Bioengineering (PT)
Norwegian School of Sport Sciences (NO)

Publication Details

Journal: Knee Surgery Sports Traumatology Arthroscopy
Published: 2024-12-26
DOI: https://doi.org/10.1002/ksa.12571
Citations: 3
Primary Topic: Knee injuries and reconstruction techniques
Type: article
Field-Weighted Citation Impact: 1.72

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

High specificity of an AI‐powered framework in cross‐checking male professional football anterior cruciate ligament tear reports in public databases

Thor Einar Andersen, Romain Seil, Bernd Grimm, Caroline Mouton et al.

Dec 26, 2024

3 citations

Knee Surgery Sports Traumatology Arthroscopy

Knee injuries and reconstruction techniques

1.72

article

High specificity of an AI‐powered framework in cross‐checking male professional football anterior cruciate ligament tear reports in public databases

Thor Einar Andersen, Romain Seil, Bernd Grimm, Caroline Mouton, Pedro Diniz, Christophe Ley

December 26, 2024article en

3 citations

Abstract

No abstract available for this paper.

Knee Surgery Sports Traumatology ArthroscopyVol. 33(10)

University of Lisbon (PT), Centre Hospitalier de Luxembourg (LU), University of Luxembourg (LU), Luxembourg Institute of Health (LU), Oslo Sports Trauma Research Center (NO), Institute for Biotechnology and Bioengineering (PT), Norwegian School of Sport Sciences (NO)

Openalex Percentile: Top 14%

Knee injuries and reconstruction techniques

1.72

DOI Open Access PDF OpenAlex

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.

High specificity of an AI‐powered framework in cross‐checking male professional football anterior cruciate ligament tear reports in public databases — Thor Einar Andersen, Romain Seil, et al. · Knee Surgery Sports Traumatology Arthroscopy (2024) | TGRS Research Map | TGRS