AIMC Topic: Intraoperative Care

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Can intraoperative improvement of radial endobronchial ultrasound imaging enhance the diagnostic yield in peripheral pulmonary lesions?

BMC pulmonary medicine May 26, 2025
BACKGROUND: Data regarding the diagnostic efficacy of radial endobronchial ultrasound (R-EBUS) findings obtained via transbronchial needle aspiration (TBNA)/biopsy (TBB) with endobronchial ultrasonography with a guide sheath (EBUS-GS) for peripheral ...
Humans Retrospective Studies Female Aged Male Intraoperative Period Bronchoscopy Endoscopic Ultrasound-Guided Fine Needle Aspiration Endosonography Intraoperative Care Middle Aged Lung Lung Neoplasms Logistic Models
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Assessment of machine learning classifiers for predicting intraoperative blood transfusion in non-cardiac surgery.

Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine Oct 18, 2024
BACKGROUND: This study aimed to develop a machine learning classifier for predicting intraoperative blood transfusion in non-cardiac surgeries.
Blood Transfusion Area Under Curve Surgical Procedures, Operative Intraoperative Care Humans Machine Learning Algorithms Female Middle Aged ROC Curve Logistic Models Aged Male
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Intraoperative left-sided colorectal anastomotic testing in clinical practice: a multi-treatment machine-learning analysis of the iCral3 prospective cohort.

Updates in surgery May 20, 2024
BACKGROUND: Current evidence about intraoperative anastomotic testing after left-sided colorectal resections is still controversial. The aim of this study was to analyze the impact of Indocyanine Green fluorescent angiography (ICG-FA) and air-leak te...
Female Aged Male Middle Aged Colon Humans Machine Learning Prospective Studies Retrospective Studies Anastomotic Leak Reoperation Fluorescein Angiography Intraoperative Care Cohort Studies Rectum Indocyanine Green Anastomosis, Surgical
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Using neural networks to autonomously assess adequacy in intraoperative cholangiograms.

Surgical endoscopy Apr 1, 2024
BACKGROUND: Intraoperative cholangiography (IOC) is a contrast-enhanced X-ray acquired during laparoscopic cholecystectomy. IOC images the biliary tree whereby filling defects, anatomical anomalies and duct injuries can be identified. In Australia, I...
Cholecystectomy, Laparoscopic Bile Ducts Intraoperative Care Cholangiography Humans Neural Networks, Computer Algorithms
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A precise blood transfusion evaluation model for aortic surgery: a single-center retrospective study.

Journal of clinical monitoring and computing Dec 27, 2023
Cardiac aortic surgery is an extremely complicated procedure that often requires large volume blood transfusions during the operation. Currently, it is not possible to accurately estimate the intraoperative blood transfusion volume before surgery. Th...
Erythrocyte Transfusion Male Middle Aged China Blood Loss, Surgical Cardiac Surgical Procedures Aorta Intraoperative Care Blood Transfusion Decision Trees Female Risk Factors Aged Adult Humans Machine Learning Algorithms Retrospective Studies
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Ultra-fast deep-learned CNS tumour classification during surgery.

Nature Oct 11, 2023
Central nervous system tumours represent one of the most lethal cancer types, particularly among children. Primary treatment includes neurosurgical resection of the tumour, in which a delicate balance must be struck between maximizing the extent of r...
Retrospective Studies Methylation Humans Child Clinical Decision-Making Intraoperative Care Sequence Analysis, DNA Deep Learning Central Nervous System Neoplasms Time Factors
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Intra-operative ultrasound assessment of the biliary tree during robotic cholecystectomy.

Journal of robotic surgery Aug 26, 2023
Image-guided assessment of bile ducts and associated anatomy during laparoscopic cholecystectomy can be achieved with intra-operative cholangiography (IOC) or laparoscopic ultrasound (LUS). Rates of robotically assisted cholecystectomy (RC) are incre...
Cholecystectomy, Laparoscopic Choledocholithiasis Humans Intraoperative Care Robotics Biliary Tract Robotic Surgical Procedures
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Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning.

The Journal of surgical research Mar 27, 2021
BACKGROUND: There is a growing need to identify which bits of information are most valuable for healthcare providers. The aim of this study was to search for the highest impact variables in predicting postsurgery length of stay (LOS) for patients who...
Intraoperative Care Creatinine Linear Models Preoperative Period Coronary Artery Bypass Humans Blood Loss, Surgical Machine Learning Male Blood Transfusion Forecasting Databases, Factual Predictive Value of Tests Middle Aged Risk Assessment Female Coronary Artery Disease Postoperative Complications Risk Factors Length of Stay Aged
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Development of an algorithm for intraoperative autofluorescence assessment of parathyroid glands in primary hyperparathyroidism using artificial intelligence.

Surgery Mar 3, 2021
BACKGROUND: Previous work showed that normal and abnormal parathyroid glands exhibit different patterns of autofluorescence, with the former appearing brighter and more homogenous. However, an objective algorithm based on quantified measurements was ...
Humans Artificial Intelligence Algorithms Hyperparathyroidism, Primary Optical Imaging Intraoperative Care Predictive Value of Tests Parathyroidectomy Parathyroid Glands
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Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers.

World neurosurgery Nov 28, 2020
BACKGROUND: The consistency of meningioma is a factor that may influence surgical planning and the extent of resection. The aim of our study is to develop a predictive model of tumor consistency using the radiomic features of preoperative magnetic re...
Supratentorial Neoplasms Meningioma Elasticity Imaging Techniques Pilot Projects Meningeal Neoplasms Computational Biology Diffusion Magnetic Resonance Imaging Female Logistic Models Aged Support Vector Machine Male Bayes Theorem Middle Aged Humans Magnetic Resonance Imaging Preoperative Care Neural Networks, Computer Decision Trees Intraoperative Care Machine Learning Retrospective Studies
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