Gastroenterology

Automated detection of colorectal tumors based on artificial intelligence.

BACKGROUND: This study developed a diagnostic tool to automatically detect normal, unclear and tumor...

Artificial Intelligence for gastrointestinal endoscopy: When technology meets our needs!

Bringing Structural Implications and Deep Learning-Based Drug Identification for Mutants.

Colorectal cancer is considered one of the leading causes of death that is linked with the Kirsten R...

Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.

BACKGROUND: We sought to evaluate the association of metabolic syndrome (MetS) and computed tomograp...

Visual Analytics of a Computer-Aided Diagnosis System for Pancreatic Lesions.

Machine learning is a powerful and effective tool for medical image analysis to perform computer-aid...

An Artificial Neural Networks Model for Early Predicting In-Hospital Mortality in Acute Pancreatitis in MIMIC-III.

BACKGROUND: Early and accurate evaluation of severity and prognosis in acute pancreatitis (AP), espe...

Intracorporeal anastomosis in right hemicolectomy for colon cancer: short-term outcomes with the DaVinci Xi robot.

Intracorporeal anastomosis (IA) may improve outcomes compared with extracorporeal anastomosis (EA) i...

Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules.

BACKGROUND AND AIM: Guidelines recommend risk stratification scores in patients presenting with gast...

Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attention.

OBJECTIVE: Accurate image segmentation of the liver is a challenging problem owing to its large shap...

The art of robotic colonic resection: a review of progress in the past 5 years.

Surgery is developing in the direction of minimal invasiveness, and robotic surgery is becoming incr...

Comparison of MPL-ANN and PLS-DA models for predicting the severity of patients with acute pancreatitis: An exploratory study.

OBJECTIVE: Acute pancreatitis (AP) is a common inflammatory disorder that may develop into severe AP...

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The field of Medicine and Healthcare has attained revolutionary advancements in the last forty years...

Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies.

Prediction and interpretation of cancer survival using graph convolution neural networks.

The survival rate of cancer has increased significantly during the past two decades for breast, pros...

Deep Neural Network Accurately Predicts Prognosis of Ulcerative Colitis Using Endoscopic Images.

Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images.

Recurrence risk stratification of patients undergoing primary surgical resection for hepatocellular ...

Automated Classification and Segmentation in Colorectal Images Based on Self-Paced Transfer Network.

Colorectal imaging improves on diagnosis of colorectal diseases by providing colorectal images. Manu...

Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysis.

PURPOSE: In patients presenting with blunt hepatic injury (BHI), the utility of CT for triage to hep...

Preoperative Bladder Bowel Dysfunction Is the Most Important Predictive Factor for Postoperative Urinary Retention After Robot-Assisted Laparoscopic Ureteral Reimplantation via An Extravesical Approach: A Multi-Center Study.

Postoperative acute urinary retention (pAUR) is a known occurrence after robot-assisted laparoscopi...

Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure.

BACKGROUND: Drug-induced liver injury (DILI) is a major safety concern characterized by a complex an...

An antibody-free liver cancer screening approach based on nanoplasmonics biosensing chips via spectrum-based deep learning.

The clinical needs of rapidly screening liver cancer in large populations have asked for a facile an...