Integrated 3D printing and case-based learning in orthopedic residency education for geriatric hip fracture management

The integration of 3D printing with CBL methodology enhances training effectiveness and learner satisfaction in geriatric hip fracture education, supporting its adoption in standardized orthopedic residency programs.

Authors

Institutions

Publication Details

Journal
Frontiers in Surgery
Published
2025-09-26
DOI
https://doi.org/10.3389/fsurg.2025.1659207
Citations
1
Primary Topic
Hip and Femur Fractures
Type
article
Field-Weighted Citation Impact
2.01

Funders

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

Integrated 3D printing and case-based learning in orthopedic residency education for geriatric hip fracture management

Lin Lu, Honglin Wang, Tao Yang, Wentao Zhang et al.
1 citations
Frontiers in Surgery
Hip and Femur Fractures
2.01
article

Integrated 3D printing and case-based learning in orthopedic residency education for geriatric hip fracture management

Lin Lu, Honglin Wang, Tao Yang, Wentao Zhang, Wei Hua
article en
1 citations

Abstract

The integration of 3D printing with CBL methodology enhances training effectiveness and learner satisfaction in geriatric hip fracture education, supporting its adoption in standardized orthopedic residency programs.

Frontiers in SurgeryVol. 12
Wuhan University (CN), Renmin Hospital of Wuhan University (CN)
National Science Foundation, Health Commission of Hubei Province, Wuhan University, Young Scientists Fund, Division of Undergraduate Education
Openalex Percentile: Top 11%
Hip and Femur Fractures
2.01
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.