Predictive analytics have been widely used in the literature with respect to laparoscopic surgery and risk stratification. However, most predictive analytics in this field exploit generalized linear models for predictive purposes, which are limited by model assumptions—including linearity between response variables and additive interactions between variables. In many instances, such assumptions may not hold true,…
Laparoscopic Endoscopic and Robotic Surgery Template
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About the Laparoscopic Endoscopic and Robotic Surgery format
Laparoscopic Endoscopic and Robotic Surgery is a peer-reviewed journal published by Elsevier, covering Surgical Simulation and Training, Colorectal Cancer Surgical Treatments, Minimally Invasive Surgical Techniques.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Laparoscopic Endoscopic and Robotic Surgery 12 (2023) 45–58.
Formats any DOI in Laparoscopic Endoscopic and Robotic Surgery style. No sign-up. |
| Publishes research in | Surgical Simulation and Training Colorectal Cancer Surgical Treatments Minimally Invasive Surgical Techniques Gastric Cancer Management and Outcomes Esophageal and GI Pathology |
| ISSN | 2468-9009 |
| Citation impact (2-yr) | 2.52 |
| h-index | 14 |
| i10-index | 18 |
| Total citations | 932 |
| Open access | Yes |
| Top institutions publishing here | Zhejiang University |
| Journal website | www.sciencedirect.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Laparoscopic Endoscopic and Robotic Surgery per year
Citation impact of Laparoscopic Endoscopic and Robotic Surgery by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Laparoscopic Endoscopic and Robotic Surgery
Some patients exhibit septic symptoms following laparoscopic surgery, leading to a poor prognosis. Effective clinical subphenotyping is critical for guiding tailored therapeutic strategies in these cases. By identifying predisposing factors for postoperative sepsis, clinicians can implement targeted interventions, potentially improving outcomes. This study outlines a workflow for the subphenotype methodology in the context of laparoscopic…
To develop and demonstrate a comprehensive methodological framework for target trial emulation (TTE) implementation via post-laparoscopic septic shock fluid management as a clinical case study. We designed a simulated study of 10,000 patients in which colloid resuscitation was compared with crystalloid resuscitation. The framework incorporated precise eligibility criteria, standardized intervention protocols, and balanced treatment allocation…
Causal inference prevails in the field of laparoscopic surgery. Once the causality between an intervention and outcome is established, the intervention can be applied to a target population to improve clinical outcomes. In many clinical scenarios, interventions are applied longitudinally in response to patients’ conditions. Such longitudinal data comprise static variables, such as age, gender,…
Recent advances in artificial intelligence (AI) have sparked a surge in the application of computer vision (CV) in surgical video analysis. Laparoscopic surgery produces a large number of surgical videos, which provides a new opportunity for improving of CV technology in laparoscopic surgery. AI-based CV techniques may leverage these surgical video data to develop real-time…