Deep learning in detecting bucket-handle meniscal tears on knee radiographs: Comparison with surgeon interpretations

This study demonstrates the potential utility of deep learning for detecting bucket-handle meniscal tears on knee radiographs.

Authors

Institutions

Publication Details

Journal
Journal of the Chinese Medical Association
Published
2025-12-30
DOI
https://doi.org/10.1097/jcma.0000000000001333
Primary Topic
Total Knee Arthroplasty Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deep learning in detecting bucket-handle meniscal tears on knee radiographs: Comparison with surgeon interpretations

En-Rung Chiang, Yang Chih-Yu, Hsin-Yi Wang, Hsuan-Hsiao Ma et al.
Journal of the Chinese Medical Association
Total Knee Arthroplasty Outcomes
article

Deep learning in detecting bucket-handle meniscal tears on knee radiographs: Comparison with surgeon interpretations

En-Rung Chiang, Yang Chih-Yu, Hsin-Yi Wang, Hsuan-Hsiao Ma, Kun-Hui Chen
article en

Abstract

This study demonstrates the potential utility of deep learning for detecting bucket-handle meniscal tears on knee radiographs.

Journal of the Chinese Medical AssociationVol. 89(2)
National Yang Ming Chiao Tung University (TW), Taipei Veterans General Hospital (TW)
Openalex Percentile: Top 25%
Total Knee Arthroplasty Outcomes
DOIOpen Access PDFOpenAlex
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.