AIMC Topic: Gastrostomy

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Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Apr 18, 2023
INTRODUCTION: Esophagectomy is the mainstay of esophageal cancer treatment, but anastomotic insufficiency related morbidity and mortality remain challenging for patient outcome. Therefore, the objective of this work was to optimize anastomotic techni...
Machine Learning Animals Swine Minimally Invasive Surgical Procedures Esophagus Esophagectomy Hyperspectral Imaging Anastomosis, Surgical Anastomotic Leak Models, Animal Stomach Surgical Stapling Gastrostomy
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Improving the Accuracy of Scores to Predict Gastrostomy after Intracerebral Hemorrhage with Machine Learning.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 7, 2018
BACKGROUND: Gastrostomy placement after intracerebral hemorrhage indicates the need for continued medical care and predicts patient dependence. Our objective was to determine the optimal machine learning technique to predict gastrostomy.
Humans Machine Learning Prospective Studies Prognosis Aged Cerebral Hemorrhage Gastrostomy
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