Gastroenterology

Inflammatory Bowel Disease

Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.

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Showing 652-672 of 2,065 articles
Development of Genome-Derived Tumor Type Prediction to Inform Clinical Cancer Care.

IMPORTANCE: Diagnosing the site of origin for cancer is a pillar of disease classification that has ...

[Rectal Gastrointestinal Stromal Tumor(GIST)Excised by Two Teams Following Neoadjuvant Chemotherapy-A Case Report].

A 67-year-old man presented with bloody stools. Colonoscopy showed a small submucosal tumor in the l...

Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets.

We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravas...

Ontologic Model of Diagnostics and Treatment of Gastrointestinal Bleedings of Unknown Origin.

The article presents the semantic model of diagnostics and treatment of patients with gastrointestin...

Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery.

OBJECTIVES: Laparoscopic metabolic surgery (MxS) can lead to remission of type 2 diabetes (T2D); how...

Emerging next-generation robotic colonoscopy systems towards painless colonoscopy.

Advances in the field of robotics have allowed modern technology to be integrated into medicine and ...

Overview of Deep Learning in Gastrointestinal Endoscopy.

Artificial intelligence is likely to perform several roles currently performed by humans, and the ad...

Endometriosis Knowledgebase: a gene-based resource on endometriosis.

Endometriosis is a complex, benign, estrogen-dependent gynecological disorder with an incidence of ~...

Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.

OBJECTIVES: The aim of this study was to test the ability of a commercially available natural langua...

Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy.

Assisted diagnosis using artificial intelligence has been a holy grail in medical research for many ...

[CA19-9 Producing Gastric Cancer with Early Recurrence of Multiple Colon Metastases Following Gastrectomy-A Case Report].

A 90-year-old male underwent total gastrectomy for gastric cancer 10 months earlier. The cancer was ...

Application of Artificial Intelligence-based Technology in Cancer Management: A Commentary on the Deployment of Artificial Neural Networks.

Artificial intelligence was recognised many years ago as a potential and powerful tool to predict di...

The Association Between Arthralgia and Vedolizumab Using Natural Language Processing.

BACKGROUND: The gut-selective nature of vedolizumab has raised questions regarding increased joint p...

Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network.

Colorectal cancer is one of the highest causes of cancer-related death, especially in men. Polyps ar...

Classification of Informative Frames in Colonoscopy Videos Using Convolutional Neural Networks with Binarized Weights.

Colorectal cancer is one of the common cancers in the United States. Polyps are one of the major cau...

Predicting Corticosteroid-Free Biologic Remission with Vedolizumab in Crohn's Disease.

BACKGROUND AND AIMS: Vedolizumab (VDZ) is effective for Crohn's disease (CD) but costly and is slow ...

A probabilistic pathway score (PROPS) for classification with applications to inflammatory bowel disease.

SUMMARY: Gene-based supervised machine learning classification models have been widely used to diffe...

Fractional Carbon Dioxide Laser in Combination with Topical Corticosteroid Application in Resistant Alopecia Areata: A Case Series.

INTRODUCTION: Intradermal steroid injections are used as treatment option in resistant alopecia area...

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