External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments

Our real-time feedback system was viewed favorably by the participants, and the ML algorithm was a reliable method, especially the predicted GOALS score. This system could facilitate objective performance assessment, enhance simulation-based training efficacy, and potentially accelerate surgical skill acquisition.

Authors

Institutions

Publication Details

Journal
Surgical Endoscopy
Published
2025-07-26
DOI
https://doi.org/10.1007/s00464-025-12018-3
Citations
3
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
6.02

Funders

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

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments

Xiaoshuai Chen, Kiyohiko Hotta, Nobuo Shinohara, Kazuya Sase et al.
3 citations
Surgical Endoscopy
Surgical Simulation and Training
6.02
article

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments

Xiaoshuai Chen, Kiyohiko Hotta, Nobuo Shinohara, Kazuya Sase, Taku Senoo, Haruka Miyata, Yan Lingbo, Koki Ebina, Atsushi Konno, Ryuji Matsumoto, Takahiro Osawa, Shunsuke Komizunai, Takashige Abe, Sachiyo Murai, Hiroshi Kikuchi, Madoka Higuchi, Teppei Tsujita, Masafumi Kon, Chihiro Kamijo
article en
3 citations

Abstract

Our real-time feedback system was viewed favorably by the participants, and the ML algorithm was a reliable method, especially the predicted GOALS score. This system could facilitate objective performance assessment, enhance simulation-based training efficacy, and potentially accelerate surgical skill acquisition.

Surgical EndoscopyVol. 39(9)
Hirosaki University (JP), Kagawa University (JP), Hokkaido University (JP), Tohoku Gakuin University (JP), National Defense Academy of Japan (JP)
Japan Agency for Medical Research and Development, Hokkaido University, Japan Society for the Promotion of Science
Quality Education
Openalex Percentile: Top 4%
Surgical Simulation and Training
6.02
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.

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments — Xiaoshuai Chen, Kiyohiko Hotta, et al. · Surgical Endoscopy (2025) | TGRS Research Map | TGRS