Gastroenterology

Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgery.

Hepatocellular carcinoma (HCC) is among the most common cancers worldwide, and tumor recurrence foll...

Incorporation of quantitative imaging data using artificial intelligence improves risk prediction in veterans with liver disease.

BACKGROUND AND AIMS: Utilization of electronic health records data to derive predictive indexes such...

AS-NeSt: A Novel 3D Deep Learning Model for Radiation Therapy Dose Distribution Prediction in Esophageal Cancer Treatment With Multiple Prescriptions.

PURPOSE: Implementing artificial intelligence technologies allows for the accurate prediction of rad...

Hydrogel spacer injection to the meso-sigmoid to protect the sigmoid colon in cervical cancer brachytherapy: A technical report.

PURPOSE: The use of a hydrogel spacer inserted into recto-vaginal fossa is a valuable strategy to mi...

Laparoscopic gastrectomy for gastric cancer: A single cancer center experience.

OBJECTIVES: Laparoscopic gastrectomy (LG) was challenging to most surgeons due to the two-dimensiona...

Effect of Intravenous Aminophylline on Hemodynamics and Recovery of Patients Undergoing Functional Endoscopic Sinus Surgery Under Dexmedetomidine Hypotensive Anesthesia: A Randomized Controlled Study.

BACKGROUND: The sympatholytic property of dexmedetomidine (DEX) makes it suitable as a hypotensive d...

Artificial Intelligence Evaluation of Stool Quality Guides Management of Hepatic Encephalopathy Using a Smartphone App.

Lactulose-based hepatic encephalopathy treatment requires bowel movements/day titration, which is im...

Regulatory effects of mangiferin on LPS-induced inflammatory responses and intestinal flora imbalance during sepsis.

Studies suggest that mangiferin (MAF) has good therapeutic effects on chronic bronchitis and hepatit...

Addressing diagnostic dilemmas in eosinophilic esophagitis using esophageal epithelial eosinophil-derived neurotoxin.

OBJECTIVES: Eosinophil-derived neurotoxin (EDN) is a viable marker of eosinophilic esophagitis (EoE)...

Anti-infliximab antibodies and low infliximab levels correlate with drug discontinuation in pediatric inflammatory bowel disease.

BACKGROUND: Infliximab (IFX) use is limited by loss of response often due to the development of anti...

CRPU-NET: a deep learning model based semantic segmentation for the detection of colorectal polyp in lower gastrointestinal tract.

. The objectives of the proposed work are twofold. Firstly, to develop a specialized light weight CR...

Current implications and challenges of artificial intelligence technologies in therapeutic intervention of colorectal cancer.

Irrespective of men and women, colorectal cancer (CRC), is the third most common cancer in the popul...

The Evolving Role of Artificial Intelligence in Gastrointestinal Histopathology: An Update.

Significant advances in artificial intelligence (AI) over the past decade potentially may lead to dr...

Biochemical Composition, Antioxidant Capacity and Protective Effects of Three Fermented Plants Beverages on Hepatotoxicity and Nephrotoxicity Induced by Carbon Tetrachloride in Mice.

Functional beverages play an essential role in our modern life and contribute to nutritional well-be...

Deep Learning Prediction Boosts Phosphoproteomics-Based Discoveries Through Improved Phosphopeptide Identification.

Shotgun phosphoproteomics enables high-throughput analysis of phosphopeptides in biological samples....

AN ELECTRONIC MEDICAL RECORD PREDICTION MODEL TO IDENTIFY INADEQUATE BOWEL PREPARATION IN PATIENTS AT OUTPATIENT COLONOSCOPY.

BACKGROUND AND AIMS: Inadequate bowel preparation during colonoscopy is associated with decreased ad...

Machine Learning Combined with Radiomics Facilitating the Personal Treatment of Malignant Liver Tumors.

In the realm of managing malignant liver tumors, the convergence of radiomics and machine learning h...

Robotic and transvaginal excision of rectal leiomyoma - a video vignette.

Evaluating the role of ChatGPT in gastroenterology: a comprehensive systematic review of applications, benefits, and limitations.

BACKGROUND: The integration of artificial intelligence (AI) into healthcare has opened new avenues f...

Automatic liver segmentation and assessment of liver fibrosis using deep learning with MR T1-weighted images in rats.

OBJECTIVES: To validate the performance of nnU-Net in segmentation and CNN in classification for liv...

A Machine Learning-Based Diagnostic Model for Crohn's Disease and Ulcerative Colitis Utilizing Fecal Microbiome Analysis.

Recent research has demonstrated the potential of fecal microbiome analysis using machine learning (...