Inflammatory Bowel Disease

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 language processing (NLP) tool to accurately extract examination quality-related and large polyp information from colonoscopy reports with varying report formats.

Endometriosis Knowledgebase: a gene-based resource on endometriosis.

Endometriosis is a complex, benign, estrogen-dependent gynecological disorder with an incidence of ~10% women in reproductive age. The implantation and growth of endometrial cells outside the uterus leads to the development of endometriosis. Endometriosis is also associated with comorbid conditions like cardiovascular and autoimmune diseases. The absence of non-invasive diagnostic markers, delayed...

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 years, and recent developments in computer hardwar...

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 disease outcome in many clinical situations. The con...

[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 pathologically diagnosed as Stage ⅢA. Preoperative...

Phylogenomics and Infectious Potential of Avian Avulaviruses Species-Type 1 Isolated from Healthy Green-Winged Teal () from a Wetland Sanctuary of Indus River.

Given the importance of (AAvVs) in commercial poultry, continuous monitoring and surveillance in natural reservoirs (waterfowls) is imperative. Here,...

Analysis of the advantages and disadvantages in application of oxygen-driven aerosol and aerosol inhalation by air compressor for the pediatric asthma.

Present study is done to analyze the advantages and disadvantages in application of oxygen-driven aerosol and aerosol inhalation by air compressor for...

The Association Between Arthralgia and Vedolizumab Using Natural Language Processing.

BACKGROUND: The gut-selective nature of vedolizumab has raised questions regarding increased joint pain or arthralgia with its use in inflammatory bow...

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 causes of colonic cancer, and early detection of poly...

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 are one of the main causes of colorectal cancer, and...

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 to produce remission. Early knowledge of whether v...

Potential of artificial intelligence-assisted colonoscopy using an endocytoscope (with video).

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 differentiate disease states, predict disease progressi...

NLPReViz: an interactive tool for natural language processing on clinical text.

The gap between domain experts and natural language processing expertise is a barrier to extracting understanding from clinical text. We describe a pr...

[Implementation of artificial intelligence into colonoscopy: experience of research and development of computer-aided diagnostic system for endocytoscopy].

A comparison of logistic regression and artificial neural networks in predicting central lymph node metastases in papillary thyroid microcarcinoma.

OBJECTIVE: Prophylactic central lymph node dissection(CLND) is a controversial issue in papillary thyroid microcarcinoma( PTMC) patients without lymph...

Dosing interval and diagnosis predict infliximab levels in patients with inflammatory bowel disease on maintenance treatment.

OBJECTIVE: The aim of the study was to identify factors influencing infliximab (IFX) trough levels (TL) in patients with inflammatory bowel disease (I...

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 areata. However, it is difficult and quite painful to ...

Procalcitonin in inflammatory bowel disease: Drawbacks and opportunities.

The measurement of procalcitonin has recently become a mainstay for the diagnosis and therapeutic management of severe bacterial infections, especiall...

Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic disease characterized by unpredictable episodes of flares and periods of remission. Tools th...