Gastroenterology

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

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Application of deep learning in the diagnosis and evaluation of ulcerative colitis disease severity.

BACKGROUND: Achieving endoscopic and histological remission is a critical treatment objective in ulc...

Learning image representations for anomaly detection: Application to discovery of histological alterations in drug development.

We present a system for anomaly detection in histopathological images. In histology, normal samples ...

Integrated Bioinformatics and Validation Reveal and Its Related Molecules as Potential Identifying Genes in Liver Cirrhosis.

Liver cirrhosis remains a significant global public health concern, with liver transplantation stand...

Short-term and long-term efficacy in robot-assisted treatment for mid and low rectal cancer: a systematic review and meta-analysis.

OBJECTIVE: This study aims to conduct a meta-analysis to evaluate the short-term and long-term thera...

The effect of thalidomide on the invasive ability of gastric cancer cells by regulating miR-524-5p/FSTL1.

This study aimed to investigate the effect of thalidomide (Thal) regulating microRNA (miR)-524-5p/fo...

High-Yield Preparation of American Oyster Defensin (AOD) via a Small and Acidic Fusion Tag and Its Functional Characterization.

The marine peptide, American oyster defensin (AOD), is derived from and exhibits a potent bacterici...

Validating the Health Benefits of Coffee Berry Pulp Extracts in Mice with High-Fat Diet-Induced Obesity and Diabetes.

The effects of coffee ( L.) berry pulp extracts (CBP extracts) on the improvement of diabetes, obesi...

Artificial intelligence scoring of liver biopsies in a phase II trial of semaglutide in nonalcoholic steatohepatitis.

BACKGROUND AND AIMS: Artificial intelligence-powered digital pathology offers the potential to quant...

Characterization and bioactivities of coffee husks extract encapsulated with polyvinylpyrrolidone.

Coffee processing generates large amounts of residues of which a portion still has bioactive propert...

Deep-Orga: An improved deep learning-based lightweight model for intestinal organoid detection.

PROBLEM: Organoids are 3D cultures that are commonly used for biological and medical research in vit...

Machine learning and experimental screening of chromatin regulator signatures and potential drugs in hepatitis B related hepatocellular carcinoma.

Many evidences have confirmed that chromatin regulator factors (CRs) are involved in the progression...

Semi-supervised liver segmentation based on local regions self-supervision.

BACKGROUND: Semi-supervised learning has gained popularity in medical image segmentation due to its ...

Development and validation of a three-dimensional deep learning-based system for assessing bowel preparation on colonoscopy video.

BACKGROUND: The performance of existing image-based training models in evaluating bowel preparation ...

Unexpectedly Prolonged Serotonin Syndrome and Fatal Complications Following a Massive Overdose of Paroxetine Controlled-Release.

Symptoms caused by a selective serotonin reuptake inhibitor (SSRI) overdose are often mild and can b...

Enhancing artificial intelligence-doctor collaboration for computer-aided diagnosis in colonoscopy through improved digital literacy.

Establishing appropriate trust and maintaining a balanced reliance on digital resources are vital fo...

Machine learning and machine teaching in histopathology.

An artificial intelligence (AI) platform was trained by a consultant histopathologist to classify wh...

Robot-Assisted Transcanal Endoscopic Ear Surgery for Congenital Cholesteatoma.

Congenital cholesteatoma accounts for 25% of cholesteatoma cases in children. Transcanal Endoscopic ...

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