Systematic Review: Role of Structured Training in the Field of Laparoscopy

Abstract The evolution of laparoscopic surgery has necessitated advanced training paradigms to ensure surgeons acquire the necessary proficiency and skill sets. Structured training programs have emerged as a cornerstone for bridging the gap between theoretical knowledge and practical application. This review synthesizes existing evidence on the methodologies, outcomes, and challenges of structured laparoscopic training programs. The findings emphasize that these programs significantly enhance technical skills, reduce learning curves, and improve patient outcomes. However, challenges such as high costs, limited access, and variability in implementation remain critical barriers. Future innovations, such as artificial intelligence (AI) and augmented reality (AR), promise to redefine the landscape of surgical education.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-26
DOI
https://doi.org/10.5281/zenodo.14222214
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic Review: Role of Structured Training in the Field of Laparoscopy

Zenodo (CERN European Organization for Nuclear Research)
Surgical Simulation and Training
article

Systematic Review: Role of Structured Training in the Field of Laparoscopy

article en

Abstract

Abstract The evolution of laparoscopic surgery has necessitated advanced training paradigms to ensure surgeons acquire the necessary proficiency and skill sets. Structured training programs have emerged as a cornerstone for bridging the gap between theoretical knowledge and practical application. This review synthesizes existing evidence on the methodologies, outcomes, and challenges of structured laparoscopic training programs. The findings emphasize that these programs significantly enhance technical skills, reduce learning curves, and improve patient outcomes. However, challenges such as high costs, limited access, and variability in implementation remain critical barriers. Future innovations, such as artificial intelligence (AI) and augmented reality (AR), promise to redefine the landscape of surgical education.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Surgical Simulation and Training
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.