AIMC Topic: Cholangiography
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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...
Novel navigation for laparoscopic cholecystectomy fusing artificial intelligence and indocyanine green fluorescent imaging.
Journal of hepato-biliary-pancreatic sciences
Apr 1, 2024
This preliminary study is the first to demonstrate that AI can precisely identify loose connective tissue during laparoscopic cholecystectomy and ICG fluorescent cholangiography. Tashiro and colleagues conclude that this novel real-time navigation mo...
The application of artificial intelligence to support biliary atresia screening by ultrasound images: A study based on deep learning models.
PloS one
Oct 19, 2022
PURPOSE: Early confirmation or ruling out biliary atresia (BA) is essential for infants with delayed onset of jaundice. In the current practice, percutaneous liver biopsy and intraoperative cholangiography (IOC) remain the golden standards for diagno...
Identification of biliary duct branches with indocyanine green during robot-assisted laparoscopic hepatic cyst fenestration.
ANZ journal of surgery
Feb 4, 2022
True single-port cholecystectomy with ICG cholangiography through a single 15-mm trocar using the new surgical platform "symphonX": first human case study with a commercially available device.
Surgical endoscopy
Oct 28, 2019
BACKGROUND: Minimally invasive single-port surgery is often associated with large incisions up to 2-3 cm, complicated handling due to the lack of triangulation, and instrument crossing. Aim of this prospective study was to perform true single-port su...
Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomography.
Abdominal radiology (New York)
Sep 1, 2020
PURPOSE: Deep learning reconstruction (DLR) introduces deep convolutional neural networks into the reconstruction flow. We examined the clinical applicability of drip-infusion cholangiography (DIC) acquired on an ultra-high-resolution CT (U-HRCT) sca...
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