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Cholangitis

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Machine Learning-Based MRI LAVA Dynamic Enhanced Scanning for the Diagnosis of Hilar Lesions.

Computational and mathematical methods in medicine 35251299
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.
Adolescent Adult Aged Aged, 80 and over Bile Duct Neoplasms Case-Control Studies Cholangitis Computational Biology Female Humans Klatskin Tumor Liver Machine Learning Magnetic Resonance Imaging Male Middle Aged Neural Networks, Computer Retrospective Studies Young Adult
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Risk prediction of cholangitis after stent implantation based on machine learning.

Scientific reports 38877118
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...
Aged Aged, 80 and over Cholangiopancreatography, Endoscopic Retrograde Cholangitis Female Humans Jaundice, Obstructive Machine Learning Male Middle Aged Retrospective Studies Risk Assessment Risk Factors Stents
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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 39265745
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 ...
Aged Algorithms Bile Duct Neoplasms Biliary Tract Neoplasms Cholangiocarcinoma Cholangitis Cholestasis Constriction, Pathologic Convolutional Neural Networks Deep Learning Diagnosis, Computer-Assisted Diagnosis, Differential Endoscopy, Digestive System Female Humans Male Middle Aged Neural Networks, Computer Proof of Concept Study ROC Curve Sensitivity and Specificity Video Recording
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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 39910477
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 Child, Preschool Cholangitis Chronic Disease Deep Learning Female Humans Infant Male Nomograms Pancreaticobiliary Maljunction Radiomics Retrospective Studies Severity of Illness Index Tomography, X-Ray Computed
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