AIMC Topic: Cholangitis

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Deep learning radiomics nomogram for preoperatively identifying moderate-to-severe chronic cholangitis in children with pancreaticobiliary maljunction: a multicenter study.

BMC medical imaging Feb 5, 2025
BACKGROUND: Long-term severe cholangitis can lead to dense adhesions and increased fragility of the bile duct, complicating surgical procedures and elevating operative risk in children with pancreaticobiliary maljunction (PBM). Consequently, preopera...
Adolescent Child, Preschool Severity of Illness Index Deep Learning Humans Tomography, X-Ray Computed Retrospective Studies Male Female Infant Radiomics Child Nomograms Chronic Disease Cholangitis Pancreaticobiliary Maljunction
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Multimodal convolutional neural network-based algorithm for real-time detection and differentiation of malignant and inflammatory biliary strictures in cholangioscopy: a proof-of-concept study (with video).

Gastrointestinal endoscopy Sep 13, 2024
BACKGROUND AND AIMS: Deep learning algorithms gained attention for detection (computer-aided detection [CADe]) of biliary tract cancer in digital single-operator cholangioscopy (dSOC). We developed a multimodal convolutional neural network (CNN) for ...
Constriction, Pathologic Video Recording ROC Curve Diagnosis, Differential Cholangiocarcinoma Endoscopy, Digestive System Biliary Tract Neoplasms Bile Duct Neoplasms Proof of Concept Study Male Middle Aged Deep Learning Convolutional Neural Networks Diagnosis, Computer-Assisted Aged Sensitivity and Specificity Algorithms Female Humans Neural Networks, Computer Cholestasis Cholangitis
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Risk prediction of cholangitis after stent implantation based on machine learning.

Scientific reports Jun 14, 2024
The risk of cholangitis after ERCP implantation in malignant obstructive jaundice patients remains unknown. To develop models based on artificial intelligence methods to predict cholangitis risk more accurately, according to patients after stent impl...
Retrospective Studies Cholangiopancreatography, Endoscopic Retrograde Humans Female Jaundice, Obstructive Machine Learning Aged Risk Factors Risk Assessment Male Cholangitis Aged, 80 and over Stents Middle Aged
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Machine Learning-Based MRI LAVA Dynamic Enhanced Scanning for the Diagnosis of Hilar Lesions.

Computational and mathematical methods in medicine Feb 24, 2022
OBJECTIVE: To explore the value of machine learning-based magnetic resonance imaging (MRI) liver acceleration volume acquisition (LAVA) dynamic enhanced scanning for diagnosing hilar lesions.
Klatskin Tumor Middle Aged Cholangitis Case-Control Studies Female Adult Aged Magnetic Resonance Imaging Machine Learning Male Humans Aged, 80 and over Adolescent Liver Retrospective Studies Neural Networks, Computer Computational Biology Young Adult Bile Duct Neoplasms
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