Standardising robotic system setup: an international expert consensus

The consensus identified best practices in hardware knowledge, emergency undocking, port placement, docking, instrument handling, and undocking procedures. This aims to standardise training protocols and has the potential to form part of assessment and accreditation. Further research is required to validate these findings.

Authors

Institutions

Publication Details

Journal
Surgical Endoscopy
Published
2025-09-05
DOI
https://doi.org/10.1007/s00464-025-12144-y
Citations
2
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
4.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Standardising robotic system setup: an international expert consensus

T. Shakir, Govinda Ishwar Lingam, Matthew Boal, Nader Francis et al.
2 citations
Surgical Endoscopy
Surgical Simulation and Training
4.01
article

Standardising robotic system setup: an international expert consensus

T. Shakir, Govinda Ishwar Lingam, Matthew Boal, Nader Francis, Manish Chand
article en
2 citations

Abstract

The consensus identified best practices in hardware knowledge, emergency undocking, port placement, docking, instrument handling, and undocking procedures. This aims to standardise training protocols and has the potential to form part of assessment and accreditation. Further research is required to validate these findings.

Surgical EndoscopyVol. 39(11)
St Mark's Hospital (GB), University College London (GB)
Openalex Percentile: Top 6%
Surgical Simulation and Training
4.01
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.