Gastroenterology

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

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A convolutional neural network-based system for identifying neuroendocrine neoplasms and multiple types of lesions in the pancreas using EUS (with videos).

BACKGROUND AND AIMS: EUS is sensitive in detecting pancreatic neuroendocrine neoplasm (pNEN). Howeve...

(1)
Oct 2024 39424005
Early cancer detection using deep learning and medical imaging: A survey.

Cancer, characterized by the uncontrolled division of abnormal cells that harm body tissues, necessi...

Oct 2024 39413940
Artificial intelligence-based quantification of lymphocytes in feline small intestinal biopsies.

Feline chronic enteropathy is a poorly defined condition of older cats that encompasses chronic ente...

(1)
Oct 2024 39400051
Colonoscopy polyp classification via enhanced scattering wavelet Convolutional Neural Network.

Among the most common cancers, colorectal cancer (CRC) has a high death rate. The best way to screen...

Oct 2024 39392783
Rapid diagnosis and recurrence prediction of choledocholithiasis disease using raw bile with machine learning assisted SERS.

Surface-enhanced Raman spectroscopy (SERS) analysis based on body fluids has been widely applied in ...

(1)
Oct 2024 39383718
Pathologist-level diagnosis of ulcerative colitis inflammatory activity level using an automated histological grading method.

BACKGROUND AND AIMS: Inflammatory bowel disease (IBD) is a global disease that is evolving with incr...

(3)
Oct 2024 39396418
Evaluating the positive predictive value of code-based identification of cirrhosis and its complications utilizing GPT-4.

BACKGROUND AND AIMS: Diagnosis code classification is a common method for cohort identification in c...

(1)
Oct 2024 39378414
Advancing non-alcoholic fatty liver disease prediction: a comprehensive machine learning approach integrating SHAP interpretability and multi-cohort validation.

INTRODUCTION: Non-alcoholic fatty liver disease (NAFLD) represents a major global health challenge, ...

(2)
Oct 2024 39439566
A review of deep learning approaches for multimodal image segmentation of liver cancer.

This review examines the recent developments in deep learning (DL) techniques applied to multimodal ...

(1)
Oct 2024 39374312
Artificial intelligence for detection and characterization of focal hepatic lesions: a review.

Focal liver lesions (FLL) are common incidental findings in abdominal imaging. While the majority of...

Oct 2024 39369107
Prognostic insights after surgery for advances in understanding signet ring cell gastric cancer: a machine learning approach.

BACKGROUND: Signet ring cell (SRC) gastric carcinoma is traditionally associated with a poor prognos...

Oct 2024 39368648
AutoLNMNet: Automated Network for Estimating Lymph-Node Metastasis in EGC Using a Pyramid Vision Transformer and Data Derived From Multiphoton Microscopy.

Lymph-node status is important in decision-making during early gastric cancer (EGC) treatment. Curre...

(1)
Oct 2024 39351968
Machine-Learning Application for Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease Using Laboratory and Body Composition Indicators.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a significan...

(2)
Oct 2024 39492562
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