Gastroenterology

GERD

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

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[Enhanced imaging in urological endoscopy].

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

Immune profile of the tumor microenvironment and the identification of a four-gene signature for lung adenocarcinoma.

The composition and relative abundances of immune cells in the tumor microenvironment are key factor...

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 ...

Artificial intelligence: Thinking outside the box.

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

Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network.

Acute esophagitis (AE) occurs among a significant number of patients with locally advanced lung canc...

Detection of multiple lesions of gastrointestinal tract for endoscopy using artificial intelligence model: a pilot study.

BACKGROUND: This study was aimed to develop a computer-aided diagnosis (CAD) system with deep-learni...

A deep learning framework for quality assessment and restoration in video endoscopy.

Endoscopy is a routine imaging technique used for both diagnosis and minimally invasive surgical tre...

A real-time system using deep learning to detect and track ureteral orifices during urinary endoscopy.

BACKGROUND AND OBJECTIVE: To automatically identify and locate various types and states of the urete...

Early gastric cancer and Artificial Intelligence: Is it time for population screening?

Gastric cancer is a common cause of death worldwide and its early detection is crucial to improve it...

Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach.

BACKGROUND: Information on protein-protein interactions affected by mutations is very useful for und...

Artificial intelligence automates and augments baseline impedance measurements from pH-impedance studies in gastroesophageal reflux disease.

BACKGROUND: Artificial intelligence (AI) has potential to streamline interpretation of pH-impedance ...

A Multi-View Deep Neural Network Model for Chemical-Disease Relation Extraction From Imbalanced Datasets.

Understanding the chemical-disease relations (CDR) is a crucial task in various biomedical domains. ...

Artificial intelligence in endoscopy: Present and future perspectives.

Artificial intelligence (AI) has been attracting considerable attention as an important scientific t...

Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading.

Artificial intelligence (AI), which has demonstrated outstanding achievements in image recognition, ...

A Gratifying Step forward for the Application of Artificial Intelligence in the Field of Endoscopy: A Narrative Review.

BACKGROUND: Endoscopy is the optimal choice of diagnosis of gastrointestinal (GI) diseases. Followin...

A Comprehensive Analysis of MicroRNAs in Human Osteoporosis.

MicroRNAs (miRNAs) are single-stranded RNA molecules that control gene expression in various process...

Quantification of Mitral Valve Regurgitation from 4D Flow MRI Using Semiautomated Flow Tracking.

PURPOSE: To compare the accuracy of semiautomated flow tracking with that of semiautomated valve tra...

easyEndo robotic endoscopy system: Development and usability test in a randomized controlled trial with novices and physicians.

BACKGROUND: Some difficulties are common when using endoscopes. Steering is not intuitive, the endos...

Robust edge-based biomarker discovery improves prediction of breast cancer metastasis.

BACKGROUND: The abundance of molecular profiling of breast cancer tissues entailed active research o...

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