Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning study

The RAMIE workflow was successfully modeled and validated in a retrospective multicenter setting. Despite high variability in phase duration between surgical centers, ML-based phase recognition achieved highly promising results.

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Publication Details

Journal
European Journal of Surgical Oncology
Published
2025-11-07
DOI
https://doi.org/10.1016/j.ejso.2025.111174
Citations
1
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
2.01

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article

Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning study

Vladimir J. Lozanovski, Nithya Bhasker, Stefanie Speidel, Fleur Fritz et al.
1 citations
European Journal of Surgical Oncology
Esophageal Cancer Research and Treatment
2.01
article

Surgical workflow analysis for Surgomics and context-aware assistance in robot-assisted minimally invasive esophagectomy (RAMIE): a retrospective, single-arm, multicenter annotation and machine learning study

Vladimir J. Lozanovski, Nithya Bhasker, Stefanie Speidel, Fleur Fritz, Beat Peter Müller-Stich, Jürgen Weitz, Antonia Stern, Marius Distler, Oliver Burgert, Rosa Klotz, Adrian T. Billeter, Martin Wagner, Klaus Maier‐Hein, Peter Grimminger, Sebastian Bodenstedt, Alexander C. Jenke, Johanna M. Brandenburg, Denise Junger, Dominik Rivoir, Lars Mündermann, A. Schulze, Noelle Bleser, Hamid Naderi
article en
1 citations

Abstract

The RAMIE workflow was successfully modeled and validated in a retrospective multicenter setting. Despite high variability in phase duration between surgical centers, ML-based phase recognition achieved highly promising results.

European Journal of Surgical OncologyVol. 52(1)
German Society of Surgery (DE), German Cancer Research Center (DE), University of Basel (CH), Johannes Gutenberg University Mainz (DE), Heidelberg University (DE), Helmholtz-Zentrum Dresden-Rossendorf (DE), University Hospital Heidelberg (DE), University Hospital of Basel (CH), Karl Storz (Germany) (DE), University Medical Center of the Johannes Gutenberg University Mainz (DE), National Center for Tumor Diseases (DE), University Hospital Carl Gustav Carus (DE), Reutlingen University (DE), Technische Universität Dresden (DE)
Deutsche Forschungsgemeinschaft, Technische Universität Dresden, Bundesministerium für Gesundheit
Openalex Percentile: Top 10%
Esophageal Cancer Research and Treatment
2.01
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