AIMC Topic: Ascites

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Ovarian Cancer Detection in Ascites Cytology with Weakly Supervised Model on Nationwide Data Set.

The American journal of pathology Apr 30, 2025
Conventional ascitic fluid cytology for detecting ovarian cancer is limited by its low sensitivity. To address this issue, this multicenter study developed patch image (PI)-based fully supervised convolutional neural network (CNN) models and clusteri...
Ovarian Neoplasms Ascites Cytodiagnosis Ascitic Fluid Humans Neural Networks, Computer Algorithms Female
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Evaluating the positive predictive value of code-based identification of cirrhosis and its complications utilizing GPT-4.

Hepatology (Baltimore, Md.) Oct 8, 2024
BACKGROUND AND AIMS: Diagnosis code classification is a common method for cohort identification in cirrhosis research, but it is often inaccurate and augmented by labor-intensive chart review. Natural language processing using large language models (...
Natural Language Processing Ascites Gastrointestinal Hemorrhage Hepatic Encephalopathy Male Middle Aged Liver Cirrhosis Predictive Value of Tests Humans Retrospective Studies Female Aged
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Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning.

Nature medicine Apr 16, 2024
Cancer of unknown primary (CUP) site poses diagnostic challenges due to its elusive nature. Many cases of CUP manifest as pleural and peritoneal serous effusions. Leveraging cytological images from 57,220 cases at four tertiary hospitals, we develope...
Adult ROC Curve Humans Male Ascites Female Middle Aged Cytodiagnosis Aged Deep Learning Neoplasms, Unknown Primary Aged, 80 and over
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Deep learning for emergency ascites diagnosis using ultrasonography images.

Journal of applied clinical medical physics Jun 20, 2022
PURPOSE: The detection of abdominal free fluid or hemoperitoneum can provide critical information for clinical diagnosis and treatment, particularly in emergencies. This study investigates the use of deep learning (DL) for identifying peritoneal free...
Deep Learning Ultrasonography Abdomen Ascites Humans Sensitivity and Specificity
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Machine learning-based system for prediction of ascites grades in patients with liver cirrhosis using laboratory and clinical data: design and implementation study.

Clinical chemistry and laboratory medicine May 24, 2022
OBJECTIVES: The aim of the study was to implement a non-invasive model to predict ascites grades among patients with cirrhosis.
Neural Networks, Computer Machine Learning Algorithms Liver Cirrhosis Humans Support Vector Machine Ascites
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Reconstruction Algorithm-Based CT Imaging for the Diagnosis of Hepatic Ascites.

Computational and mathematical methods in medicine May 4, 2022
The study was aimed at exploring the diagnostic value of artificial intelligence reconstruction algorithm combined with CT image parameters on hepatic ascites, expected to provide a reference for the etiological evaluation of clinical abdominal effus...
Water Radiographic Image Interpretation, Computer-Assisted Ascites Calcium Artificial Intelligence Algorithms Tomography, X-Ray Computed Iodine Humans
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A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation.

Journal of medical Internet research Jan 3, 2022
BACKGROUND: Detection and quantification of intra-abdominal free fluid (ie, ascites) on computed tomography (CT) images are essential processes for finding emergent or urgent conditions in patients. In an emergency department, automatic detection and...
Deep Learning Emergency Service, Hospital Ascites Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed
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Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.

World neurosurgery Nov 16, 2020
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...
Mortality Preoperative Care Laminectomy Humans Machine Learning Female Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Dyspnea Blood Coagulation Disorders Smoking Metastasectomy Body Mass Index Spinal Neoplasms Risk Assessment Multivariate Analysis Bayes Theorem Respiration, Artificial Odds Ratio Ascites Weight Loss Serum Albumin Hypoalbuminemia Hypertension
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Development and validation of a deep learning system for ascites cytopathology interpretation.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association Jun 4, 2020
BACKGROUND: Early diagnosis of Peritoneal metastasis (PM) is clinically significant regarding optimal treatment selection and avoidance of unnecessary surgical procedures. Cytopathology plays an important role in early screening of PM. We aimed to de...
Datasets as Topic Ascites Peritoneal Neoplasms Image Interpretation, Computer-Assisted Neoplasm Metastasis Humans Reproducibility of Results Neural Networks, Computer Deep Learning Early Detection of Cancer Area Under Curve
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Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Alanine Transaminase Severity of Illness Index Aspartate Aminotransferases Aged Endoscopy, Digestive System Esophageal and Gastric Varices Humans Gastrointestinal Hemorrhage Bilirubin Liver Cirrhosis Male Thrombocytopenia Machine Learning Ascites Liver Cirrhosis, Alcoholic Hepatic Encephalopathy Mass Screening Middle Aged Creatinine Prospective Studies Hemoglobins Serum Albumin International Normalized Ratio Risk Assessment Non-alcoholic Fatty Liver Disease Female Sodium Blood Urea Nitrogen Platelet Count Hepatitis C, Chronic
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