Gastroenterology

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

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Showing 3550-3570 of 7,592 articles
Efficacy and Safety of the "Trisection Method" Training System for Robot-Assisted Radical Cystectomy at a Single Institution in Japan.

To maintain a surgeon's concentration, reduce fatigue, and train young surgeons, surgical procedures...

Nov 2022 36547142
Improving liver lesions classification on CT/MRI images based on Hounsfield Units attenuation and deep learning.

The early sign detection of liver lesions plays an extremely important role in preventing, diagnosin...

Nov 2022 36574537
Colon Cancer Diagnosis Based on Machine Learning and Deep Learning: Modalities and Analysis Techniques.

The treatment and diagnosis of colon cancer are considered to be social and economic challenges due ...

Nov 2022 36501951
Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor-Recipient Matching?

Liver transplantation outcomes have improved in recent years. However, with the emergence of expande...

Nov 2022 36556945
Uncertainty-aware physics-driven deep learning network for free-breathing liver fat and R * quantification using self-gated stack-of-radial MRI.

PURPOSE: To develop a deep learning-based method for rapid liver proton-density fat fraction (PDFF) ...

Nov 2022 36426730
Synchronous robotic repair of anterior diaphragmatic (Morgagni) hernia & low anterior resection for rectal cancer.

BACKGROUND: We present the case report of synchronous trans-fascial repair of a large congenital Mor...

Nov 2022 36416620
Setting up of a machine learning algorithm for the identification of severe liver fibrosis profile in the general US population cohort.

BACKGROUND: The progress of digital transformation in clinical practice opens the door to transformi...

Nov 2022 36459836
Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis.

OBJECTIVES: To develop and validate a deep learning (DL) model based on quantitative analysis of con...

Nov 2022 36418624
Characterization of signature trends across the spectrum of non-alcoholic fatty liver disease using deep learning method.

AIMS: The timely diagnosis of different stages in NAFLD is crucial for disease treatment and reversa...

Nov 2022 36436619
Contrast phase recognition in liver computer tomography using deep learning.

Hepatocellular carcinoma (HCC) has become the 4th leading cause of cancer-related deaths, with high ...

Nov 2022 36434070
A Single-Institution Comparison of Robot-Assisted and Conventional Laparoscopic Colorectal Surgeries.

There has been ongoing discussion regarding the superiority of robotic laparoscopic surgery (RLS) ov...

Nov 2022 36418218
Cost-effectiveness analysis of revisional Roux-en-Y gastric bypass: laparoscopic vs. robot assisted.

There is controversy over the possible advantages of the robotic technology in revisional bariatric ...

Nov 2022 36422812
Survival prediction of stomach cancer using expression data and deep learning models with histopathological images.

Accurately predicting patient survival is essential for cancer treatment decision. However, the prog...

Nov 2022 36114747
A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on F-FDG PET/CT images.

PURPOSE: To explore a multidomain fusion model of radiomics and deep learning features based on F-fl...

Nov 2022 36409398
Interactive 3D Force/Torque Parameter Acquisition and Correlation Identification during Primary Trocar Insertion in Laparoscopic Abdominal Surgery: 5 Cases.

Laparoscopic procedures have become indispensable in gastrointestinal surgery. As a minimally invasi...

Nov 2022 36433567
Robust deep learning-based forward dose calculations for VMAT on the 1.5T MR-linac.

In this work we present a framework for robust deep learning-based VMAT forward dose calculations fo...

Nov 2022 36198322
Uncertainty-aware self-supervised neural network for livermapping with relaxation constraint.

.T1ρmapping is a promising quantitative MRI technique for the non-invasive assessment of tissue prop...

Nov 2022 36317270
Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis.

Currently, one of the most common causes of death worldwide is cancer. The development of innovative...

Nov 2022 36433516
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