AIMC Topic: Biliary Tract

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Real-time segmentation of biliary structure in pure laparoscopic donor hepatectomy.

Scientific reports Sep 28, 2024
Pure laparoscopic donor hepatectomy (PLDH) has become a standard practice for living donor liver transplantation in expert centers. Accurate understanding of biliary structures is crucial during PLDH to minimize the risk of complications. This study ...
Humans Algorithms Retrospective Studies Bile Ducts Biliary Tract Living Donors Laparoscopy Liver Transplantation Hepatectomy Feasibility Studies Male Deep Learning Female Adult
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Deep learning for 3D biliary anatomy for living liver donor hepatectomy planning.

International journal of surgery (London, England) Jun 1, 2024
Living Donors Liver Transplantation Imaging, Three-Dimensional Liver Hepatectomy Biliary Tract Humans Deep Learning
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BiliQML: a supervised machine-learning model to quantify biliary forms from digitized whole slide liver histopathological images.

American journal of physiology. Gastrointestinal and liver physiology Apr 23, 2024
The progress of research focused on cholangiocytes and the biliary tree during development and following injury is hindered by limited available quantitative methodologies. Current techniques include two-dimensional standard histological cell-countin...
Bile Duct Diseases Biliary Tract Supervised Machine Learning Bile Ducts Disease Models, Animal Liver Image Processing, Computer-Assisted Mice Animals
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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...
Humans Intraoperative Care Biliary Tract Cholecystectomy, Laparoscopic Robotics Choledocholithiasis Robotic Surgical Procedures
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BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications.

Artificial intelligence in medicine Mar 31, 2023
Certain life-threatening abnormalities, such as cholangiocarcinoma, in the human biliary tract are curable if detected at an early stage, and ultrasonography has been proven to be an effective tool for identifying them. However, the diagnosis often r...
Neural Networks, Computer Ultrasonography Biliary Tract Artificial Intelligence Image Processing, Computer-Assisted Humans
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Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT.

Medical physics Sep 10, 2018
BACKGROUND: Accurate prediction of radiation toxicity of healthy organs-at-risks (OARs) critically determines the radiation therapy (RT) success. The existing dose-volume histogram-based metric may grossly under/overestimate the therapeutic toxicity ...
Biliary Tract Organs at Risk Treatment Failure Precision Medicine Radiotherapy Planning, Computer-Assisted Risk Humans Radiotherapy Dosage Liver Radiosurgery Neural Networks, Computer
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AISIM: evaluating impacts of user interface elements of an AI assisting tool.

PloS one Jan 1, 2025
While Artificial Intelligence (AI) has demonstrated human-level capabilities in many prediction tasks, collaboration between humans and machines is crucial in mission-critical applications, especially in the healthcare sector. An important factor tha...
Humans User-Computer Interface Artificial Intelligence Ultrasonography Health Personnel Biliary Tract Female
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[Effect of Deep Learning-based Contrast-enhanced CT Image Reconstruction on the Image Quality of the Biliary System].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae Aug 1, 2022
Objective To evaluate the effect of a deep learning reconstruction (DLR) method on the visibility of contrast-enhanced CT images of the biliary system by comparing it with different iterative reconstruction algorithms including the adaptive iterative...
Biliary Tract Humans Deep Learning Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Tomography, X-Ray Computed
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