Gastroenterology

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

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Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach.

Automatic sigmoid colon segmentation in CT for radiotherapy treatment planning is challenging due to...

Dec 2020 33383333
Harmonization of the ICHOM Quality Measures to Enable Health Outcomes Measurement in Multimorbid Patients.

To update the sets of patient-centric outcomes measures ("standard-sets") developed by the not-for-...

Dec 2020 34713068
Distinction of surgically resected gastrointestinal stromal tumor by near-infrared hyperspectral imaging.

The diagnosis of gastrointestinal stromal tumor (GIST) using conventional endoscopy is difficult bec...

Dec 2020 33318595
Performance Assessment of Classification Algorithms on Early Detection of Liver Syndrome.

In the recent era, a liver syndrome that causes any damage in life capacity is exceptionally normal ...

Dec 2020 33489060
Deep learning for sensitive detection of Helicobacter Pylori in gastric biopsies.

BACKGROUND: Helicobacter pylori, a 2 × 1 μm spiral-shaped bacterium, is the most common risk factor ...

Dec 2020 33308189
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images.

Histopathological images are a rich but incompletely explored data type for studying cancer. Manual ...

Dec 2020 33311458
Quality control, HPTLC analysis, antioxidant and antimicrobial activity of hydroalcoholic extract of roots of ( C.B Clarke).

OBJECTIVES: , CB Clarke () is a perennial herb of the Compositae family. The root of has been used ...

Dec 2020 33780194
[Enhanced imaging in urological endoscopy].

White light cystoscopy and the concise documentation of pathological findings are standard diagnosti...

Dec 2020 33301070
Hepatitis C viral load and genotypes among Nigerian subjects with chronic infection and implication for patient management: a retrospective review of data.

INTRODUCTION: Hepatitis C Virus (HCV) is highly infectious with no currently available vaccine. Prio...

Dec 2020 33738023
A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.

Non-alcoholic steatohepatitis (NASH) is a fatty liver disease characterized by accumulation of fat i...

Dec 2020 33299110
Selecting Children with Vesicoureteral Reflux Who are Most Likely to Benefit from Antibiotic Prophylaxis: Application of Machine Learning to RIVUR.

PURPOSE: Continuous antibiotic prophylaxis reduces the risk of recurrent urinary tract infection by ...

Dec 2020 33289598
Image-Based Machine Learning Algorithms for Disease Characterization in the Human Type 1 Diabetes Pancreas.

Emerging data suggest that type 1 diabetes affects not only the β-cell-containing islets of Langerha...

Dec 2020 33307036
Data-Driven Robust Control for a Closed-Loop Artificial Pancreas.

We present a fully closed-loop design for an artificial pancreas (AP) that regulates the delivery of...

Dec 2020 31027048
Prediction of Microvascular Invasion of Hepatocellular Carcinoma Based on Preoperative Diffusion-Weighted MR Using Deep Learning.

RATIONALE AND OBJECTIVES: To investigate the value of diffusion-weighted magnetic resonance imaging ...

Dec 2020 33303346
MAD-UNet: A deep U-shaped network combined with an attention mechanism for pancreas segmentation in CT images.

PURPOSE: Pancreas segmentation is a difficult task because of the high intrapatient variability in t...

Dec 2020 33222222
Accurate spatiotemporal mapping of drug overdose deaths by machine learning of drug-related web-searches.

Persons who inject drugs (PWID) are at increased risk for overdose death (ODD), infections with HIV,...

Dec 2020 33284864
Current status of artificial intelligence analysis for endoscopic ultrasonography.

Endoscopic ultrasonography (EUS) is an essential diagnostic tool for various types of pancreatic dis...

Dec 2020 33098123
Artificial intelligence: Thinking outside the box.

Artificial intelligence (AI) for luminal gastrointestinal endoscopy is rapidly evolving. To date, mo...

Dec 2020 34172247
A scientometric study of the top 100 most-cited publications based on Web-of-Science regarding robotic versus laparoscopic surgery.

Minimally invasive surgery includes traditional laparoscopic and robot-assisted surgery. Although ma...

Dec 2020 33288372
Impact of artificial intelligence on colorectal polyp detection.

Since colonoscopy and polypectomy were introduced, Colorectal Cancer (CRC) incidence and mortality d...

Dec 2020 34172246
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