Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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Showing 3025-3045 of 8,556 articles
Machine learning based models for predicting presentation delay risk among gastric cancer patients.

OBJECTIVE: Presentation delay of cancer patients prevents the patient from timely diagnosis and trea...

Jan 2025 39871938
Golgi protein 73: charting new territories in diagnosing significant fibrosis in MASLD: a prospective cross-sectional study.

OBJECTIVES: To explore the correlation between serum Golgi protein 73 (GP73) levels and the degree o...

Jan 2025 39872312
Machine Learning-Assisted High-Throughput Screening of Nanozymes for Ulcerative Colitis.

Ulcerative colitis (UC) is a chronic gastrointestinal inflammatory disorder with rising prevalence. ...

Jan 2025 39801185
Artificial intelligence in gastrointestinal cancers: Diagnostic, prognostic, and surgical strategies.

GI (Gastrointestinal) malignancies are one of the most common and lethal cancers globally. The dawn ...

Jan 2025 39809357
A spatiotemporal and machine-learning platform facilitates the manufacturing of hPSC-derived esophageal mucosa.

Human pluripotent stem cell-derived tissue engineering offers great promise for designer cell-based ...

Jan 2025 39798574
Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology.

Grading activity of inflammatory bowel disease (IBD) using standardized histopathological scoring sy...

Jan 2025 39800054
Artificial Intelligence for Predicting HER2 Status of Gastric Cancer Based on Whole-Slide Histopathology Images: A Retrospective Multicenter Study.

Human epidermal growth factor receptor 2 (HER2) positive gastric cancer (GC) shows a robust response...

Jan 2025 39792693
FocusUNet: Pioneering dual attention with gated U-Net for colonoscopic polyp segmentation.

The detection and excision of colorectal polyps, precursors to colorectal cancer (CRC), can improve ...

(2)
Jan 2025 39793349
AntiT2DMP-Pred: Leveraging feature fusion and optimization for superior machine learning prediction of type 2 diabetes mellitus.

Pancreatic α-amylase breaks down starch into isomaltose and maltose, which are further hydrolyzed by...

Jan 2025 39798942
Postoperative fever after elective minimally invasive resection for gastric and colorectal cancer: incidence, risk factors and characteristics.

PURPOSE: To analyze the incidence and risk factors of postoperative fever (POF) in gastrointestinal ...

Jan 2025 39868370
Multi-site, multi-vendor development and validation of a deep learning model for liver stiffness prediction using abdominal biparametric MRI.

BACKGROUND: Chronic liver disease (CLD) is a substantial cause of morbidity and mortality worldwide....

Jan 2025 39779515
Multiparametric MRI for Assessment of the Biological Invasiveness and Prognosis of Pancreatic Ductal Adenocarcinoma in the Era of Artificial Intelligence.

Pancreatic ductal adenocarcinoma (PDAC) is the deadliest malignant tumor, with a grim 5-year overall...

(1)
Jan 2025 39781607
G-SET-DCL: a guided sequential episodic training with dual contrastive learning approach for colon segmentation.

PURPOSE: This article introduces a novel deep learning approach to substantially improve the accurac...

(1)
Jan 2025 39789205
Integrating traditional machine learning with qPCR validation to identify solid drug targets in pancreatic cancer: a 5-gene signature study.

BACKGROUND: Pancreatic cancer remains one of the deadliest malignancies, largely due to its late dia...

Jan 2025 39850570
Characterization of hepatocellular carcinoma with CT with deep learning reconstruction compared with iterative reconstruction and 3-Tesla MRI.

OBJECTIVES: This study compared the characteristics of lesions suspicious for hepatocellular carcino...

Jan 2025 39775897
The Use of Artificial Intelligence for Endoscopic Evaluation of the Small Bowel.

There remains great potential for widespread implementation of artificial intelligence (AI) in manag...

(3)
Jan 2025 40021233
CT-Based Body Composition Measures and Systemic Disease: A Population-Level Analysis Using Artificial Intelligence Tools in Over 100,000 Patients.

CT-based abdominal body composition measures have shown associations with important health outcomes...

Jan 2025 39772583
Blood metal levels predict digestive tract cancer risk using machine learning in a U.S. cohort.

BACKGROUND: Environmental metal exposure has been implicated in the development of digestive tract c...

Jan 2025 39779803
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