Gastroenterology

Inflammatory Bowel Disease

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

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Recombinant human hyaluronidase PH20-mediated dermal spreading activity in mice is not altered by steroids, antihistamines, or salicylic acid.

OBJECTIVES: Drug-drug interaction studies for hyaluronidase safety assessments have evaluated only animal-derived enzyme preparations. We therefore set out to evaluate whether high-dose administration of two antihistamines, a potent corticosteroid, steroid hormone, adrenocorticotropic hormone (ACTH), or salicylic acid would alter the dispersive activity of recombinant human hyaluronidase PH20 (rHu...

Dec 25 2020 33780198

Diagnostic Value of Pyruvate Kinase Isoenzyme Type M2 in Colon Cancer Proven with Colonoscopy.

BACKGROUND: Colonoscopy is the gold standard for colon cancer screening; it is also associated with a high cost and complication. Proliferating cells, in particular tumor cells, express a dimeric isoenzyme of pyruvate kinase, termed M2 pyruvate kinase (M2-PK). The aim of this study was to determine the diagnostic accuracy of fecal M2-PK for colon cancer.

Dec 23 2020 33912492
Tualang honey versus steroid impregnated nasal dressing following endoscopic sinus surgery: a randomized controlled trial.

OBJECTIVES: Recurrence rate of nasal polyps is high following endoscopic sinus surgery. To improve the surgical outcome, steroid impregnated nasal dre...

Dec 21 2020 34187130
Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy.

Artificial intelligence (AI) and its application in medicine has grown large interest. Within gastrointestinal (GI) endoscopy, the field of colonoscop...

Dec 19 2020 33145847
Colorectal polyp characterization with endocytoscopy: Ready for widespread implementation with artificial intelligence?

Endocytoscopy provides an in-vivo visualization of nuclei and micro-vessels at the cellular level in real-time, facilitating so-called "optical biopsy...

Dec 18 2020 34172248
Impact of artificial intelligence on colorectal polyp detection.

Since colonoscopy and polypectomy were introduced, Colorectal Cancer (CRC) incidence and mortality decreased significantly. Although we have entered t...

Dec 4 2020 34172246
Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.

Background Although CT-based body composition (BC) metrics may inform disease risk and outcomes, obtaining these metrics has been too resource intensi...

Nov 24 2020 33231527
Using chatbots to screen for heritable cancer syndromes in patients undergoing routine colonoscopy.

BACKGROUND: Hereditary colorectal cancer (HCRC) syndromes account for 10% of colorectal cancers but remain underdiagnosed. This feasibility project te...

Nov 9 2020 33168571
Resection of the medial wall of the cavernous sinus in functioning pituitary adenomas: Technical note and outcomes in a matched-cohort study.

BACKGROUND: Parasellar dural invasion can be associated with treatment failure after excision of functioning pituitary adenomas. Because the medial wa...

Oct 13 2020 34756392
Machine learning in predicting early remission in patients after surgical treatment of acromegaly: a multicenter study.

PURPOSE: Accurate prediction of postoperative remission is beneficial for effective patient-physician communication in acromegalic patients. This stud...

Oct 6 2020 33025547
A review of water exchange and artificial intelligence in improving adenoma detection.

Water exchange (WE) and artificial intelligence (AI) have made critical advances during the past decade. WE significantly increases adenoma detection ...

Oct 5 2020 33912406
Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up.

Some patients with acromegaly do not reach the remission standard in the short term after surgery but achieve remission without additional postoperat...

Sep 16 2020 33042013
Personalized prediction of daily eczema severity scores using a mechanistic machine learning model.

BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory skin disease with periods of flares and remission. Designing personalized treatment strat...

Sep 9 2020 32750186
Application of optical character recognition with natural language processing for large-scale quality metric data extraction in colonoscopy reports.

BACKGROUND AND AIMS: Colonoscopy is commonly performed for colorectal cancer screening in the United States. Reports are often generated in a non-stan...

Sep 3 2020 32891620
Use of Steroid Profiling Combined With Machine Learning for Identification and Subtype Classification in Primary Aldosteronism.

IMPORTANCE: Most patients with primary aldosteronism, a major cause of secondary hypertension, are not identified or appropriately treated because of ...

Sep 1 2020 32990741
HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy.

Artificial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and l...

Aug 28 2020 32859981
A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM).

An essential aspect of medical research is the prediction for a health outcome and the scientific identification of important factors. As a result, nu...

Aug 27 2020 32853243
Application of Deep Learning for Early Screening of Colorectal Precancerous Lesions under White Light Endoscopy.

METHODS: We collected and sorted out the white light endoscopic images of some patients undergoing colonoscopy. The convolutional neural network model...

Aug 18 2020 32952602
Endoscopic activity, tissue factor and Crohn's disease: findings in clinical remission patients.

BACKGROUND: As Crohn's disease (CD) is associated with a high risk of thromboembolic events (TE), including patients with subclinical inflammation, we...

Aug 3 2020 34025780
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