Artificial Intelligence for Workflow Analysis in Colorectal Surgery: A Multicentric, Cross-Procedural Development and Generalization Study
Minimally invasive colorectal surgeries (MIS-CRS) are characterised by significant variability and inconsistent outcomes. ColoWorkflow, a tool for the video-based assessment (VBA) of MIS-CRS workflow, was recently validated. However, manual VBA is time-consuming, limiting implementation. This study presents AI-ColoWorkflow, a deep learning model for automated surgical workflow analysis across MIS-CRS. Operative videos of MIS-CRS were collected from 4 centres and a publicly available dataset. Phases and steps were manually annotated according to ColoWorkflow. A deep learning model combining a f
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- PossiblePossibly related (embedding) · 51%Dual-phase deep learning models improve pancreatic cyst risk assessment - News-Medical →
- PossiblePossibly related (embedding) · 51%Artificial Intelligence (AI)-Enhanced Surgical Video - openPR.com →
- PossiblePossibly related (embedding) · 49%AI Analysis of Perioperative Data Improves Prediction of Postoperative Complications - OR Management News →
- FuzzySimilar title/name (fuzzy) · 66%owainlewis/awesome-artificial-intelligence →
“Fuzzy title match (0.78): “Artificial Intelligence for Workflow Analysis in Colorectal ” ≈ “owainlewis/awesome-artificial-intelligence””
- FuzzyOverlapping authors or contributors · 62%firecrawl/firecrawl →
“Shared author/contributor keys: jain”
- LinkedLinked via arxiv author · 85%Pietro Mascagni →
“Artificial Intelligence for Workflow Analysis in Colorectal Surgery: A Multicentric, Cross-Procedural Development and Ge”
- LinkedLinked via arxiv author · 85%Julia Alekseenko →
“Artificial Intelligence for Workflow Analysis in Colorectal Surgery: A Multicentric, Cross-Procedural Development and Ge”