Gastroenterology

A machine learning based algorithm accurately stages liver disease by quantification of arteries.

A major histologic feature of cirrhosis is the loss of liver architecture with collapse of tissue an...

Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia.

Indonesia is still the second-highest tuberculosis burden country in the world. The antituberculosis...

Multicategory matched learning for estimating optimal individualized treatment rules in observational studies with application to a hepatocellular carcinoma study.

One primary goal of precision medicine is to estimate the individualized treatment rules that optimi...

Deep learning model targeting cancer surrounding tissues for accurate cancer diagnosis based on histopathological images.

Accurate and fast histological diagnosis of cancers is crucial for successful treatment. The deep le...

Development and validation of a novel artificial intelligence algorithm for precise prediction the postoperative prognosis of esophageal squamous cell carcinoma.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a highly aggressive malignancy, and current...

Deep Learning Enabled Scoring of Pancreatic Neuroendocrine Tumors Based on Cancer Infiltration Patterns.

Pancreatic neuroendocrine tumors (PanNETs) are a heterogeneous group of neoplasms that include tumor...

A comparative analysis and survival analysis of open versus minimally invasive radical antegrade modular pancreatosplenectomy for pancreatic cancer: a systematic review and meta-analysis.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a major public health concern, ranking as the...

CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resectable pancreatic ductal adenocarcinoma.

BACKGROUND: The prognostic prediction of pancreatic ductal adenocarcinoma (PDAC) remains challenging...

Enhanced accuracy and stability in automated intra-pancreatic fat deposition monitoring of type 2 diabetes mellitus using Dixon MRI and deep learning.

PURPOSE: Intra-pancreatic fat deposition (IPFD) is closely associated with the onset and progression...

A prospective and comparative study on improving the diagnostic accuracy of early gastric cancer based on deep convolutional neural network real-time diagnosis system (with video).

BACKGROUND: Endoscopic diagnosis of early gastric cancer (EGC) is a challenge. It is not clear wheth...

A large histological images dataset of gastric cancer with tumour microenvironment annotation for AI.

Gastric cancer (GC) is the third leading cause of cancer death worldwide. Its clinical course varies...

Development and validation of a machine learning-based prediction model for hepatorenal syndrome in liver cirrhosis patients using MIMIC-IV and eICU databases.

Hepatorenal syndrome (HRS) is a key contributor to poor prognosis in liver cirrhosis. This study aim...

Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool.

Predicting the outcome of a kidney transplant involving a living donor advances donor decision-maki...

Contrast-enhanced ultrasound-based AI model for multi-classification of focal liver lesions.

BACKGROUND & AIMS: Accurate multi-classification is a prerequisite for appropriate management of foc...

S2P-Matching: Self-Supervised Patch-Based Matching Using Transformer for Capsule Endoscopic Images Stitching.

The Magnetically Controlled Capsule Endoscopy (MCCE) has a limited shooting range, resulting in capt...

Deep learning-based CT radiomics predicts prognosis of unresectable hepatocellular carcinoma treated with TACE-HAIC combined with PD-1 inhibitors and tyrosine kinase inhibitors.

OBJECTIVE: To develop and validate a computed tomography (CT)-based deep learning radiomics model to...

Predicting postoperative adhesive small bowel obstruction in infants under 3 months with intestinal malrotation: a random forest approach.

OBJECTIVE: This study aimed to develop a predictive model using a random forest algorithm to determi...

CON: It's time for new strategies to optimize liver transplant immunosuppression.

Motion-Compensated Multishot Pancreatic Diffusion-Weighted Imaging With Deep Learning-Based Denoising.

OBJECTIVES: Pancreatic diffusion-weighted imaging (DWI) has numerous clinical applications, but conv...

Do people prefer AI-generated patient educational materials over traditional ones?

OBJECTIVE: This study aimed to assess people's preference between traditional and Artificial Intelli...

Deep learning-based MVIT-MLKA model for accurate classification of pancreatic lesions: a multicenter retrospective cohort study.

BACKGROUND: Accurate differentiation between benign and malignant pancreatic lesions is critical for...