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Artificial intelligence for intraoperative video analysis in robotic-assisted esophagectomy
Amila Cizmic1, Anuja T Mitra2, Anas A Preukschas1
1Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
Surgical Endoscopy
|March 31, 2025
Summary
Artificial intelligence (AI) is emerging in robotic-assisted minimally invasive esophagectomy (RAMIE). AI applications in RAMIE focus on intraoperative video analysis and surgical phase recognition to enhance surgical performance and decision-making.
Area of Science:
- Surgical Technology
- Medical Artificial Intelligence
- Robotic Surgery
Background:
- Robotic-assisted minimally invasive esophagectomy (RAMIE) is a complex procedure for esophageal cancer.
- Artificial intelligence (AI) is increasingly applied in surgery.
- This review focuses on AI applications in RAMIE, particularly intraoperative video analysis.
Purpose of the Study:
- To conduct a scoping review of current AI applications in RAMIE.
- To assess AI's role in intraoperative video analysis during RAMIE.
Main Methods:
- A comprehensive literature search was conducted in Medline, Embase, and Cochrane Library.
- Preferred Reporting Items for Systematic Reviews and Meta-analysis for scoping reviews (PRISMA-ScR) guidelines were followed.
- Two independent reviewers assessed article quality and inclusion.
Main Results:
- Four articles were included from 117 identified.
- AI applications in RAMIE primarily involve intraoperative video assessment and surgical skill evaluation.
- AI aids in surgical phase recognition, clinical decision-making, intraoperative guidance, and landmark identification.
Conclusions:
- AI in RAMIE, especially for intraoperative video analysis, is an emerging field.
- AI algorithms can automate video evaluation to improve surgical performance and decision-making.
- Further exploration of AI in RAMIE holds potential for enhanced surgical quality and outcomes.
