Gastroenterology

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

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Functional outcomes after robot-assisted radical cystectomy: A review of literature.

Robot-assisted radical cystectomy has steadily gained wider acceptance among urologists compared wit...

Mar 2021 33768583
Predicting treatment response from longitudinal images using multi-task deep learning.

Radiographic imaging is routinely used to evaluate treatment response in solid tumors. Current imagi...

Mar 2021 33767170
Artificial neural networks versus LASSO regression for the prediction of long-term survival after surgery for invasive IPMN of the pancreas.

Prediction of long-term survival in patients with invasive intraductal papillary mucinous neoplasm (...

Mar 2021 33765078
Emergent robotic versus laparoscopic surgery for perforated gastrojejunal ulcers: a retrospective cohort study of 44 patients.

BACKGROUND: Perforated gastrojejunal ulcers are a known complication following Roux-en-Y gastric byp...

Mar 2021 33760973
Small Bowel Capsule Endoscopy and artificial intelligence: First or second reader?

Several machine learning algorithms have been developed in the past years with the aim to improve SB...

Mar 2021 34172256
Assessing Rectal Cancer Treatment Response Using Coregistered Endorectal Photoacoustic and US Imaging Paired with Deep Learning.

Background Conventional radiologic modalities perform poorly in the radiated rectum and are often un...

Mar 2021 33754826
Coupling Machine Learning and Lipidomics as a Tool to Investigate Metabolic Dysfunction-Associated Fatty Liver Disease. A General Overview.

Hepatic biopsy is the gold standard for staging nonalcoholic fatty liver disease (NAFLD). Unfortunat...

Mar 2021 33810079
Robotic-assisted radical prostatectomy following colo-rectal surgery: a user's guide.

To assess the feasibility and operative outcomes of RARP following colo-rectal surgery. A prospectiv...

Mar 2021 33743146
Deep learning-based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC.

OBJECTIVES: To develop and evaluate a deep learning-based model capable of detecting primary hepatic...

Mar 2021 33738600
Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation.

Automatic pancreas segmentation is crucial to the diagnostic assessment of diabetes or pancreatic ca...

Mar 2021 31869812
Robotic D2 Total Gastrectomy with Fluorescent Lymphatic Mapping for Gastric Cancer: Effective Use of the 4th Arm.

Minimally invasive surgery techniques have evolved remarkably over the past few decades in the field...

Mar 2021 33728592
Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging.

PURPOSE: The objective of this paper was to develop a computer-aided diagnostic (CAD) tools for auto...

Mar 2021 33728563
Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion.

BACKGROUND: The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular ca...

Mar 2021 33726693
A retrospective comparative study of robotic distal pancreatectomy with or without splenic vessel and spleen preservation.

BACKGROUND: Robotic distal pancreatectomy has been accepted to be safe and effective for pancreatic ...

Mar 2021 33726957
Tumor attention networks: Better feature selection, better tumor segmentation.

Compared with the traditional analysis of computed tomography scans, automatic liver tumor segmentat...

Mar 2021 33780873
Automatic Classification of Hepatic Cystic Echinococcosis Using Ultrasound Images and Deep Learning.

BACKGROUND: Hepatic cystic echinococcosis is the main form of hepatic echinococcosis, which is a lif...

Mar 2021 33710638
Robot-Assisted Cystectomy and Ileal Conduit for Neurogenic Bladder: Comparison of Extracorporeal Intracorporeal Urinary Diversion.

The aim of the present study was to compare the perioperative outcomes of extracorporeal (EXTRA) i...

Mar 2021 33499755
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