A5019018098- Gastrointestinal motility and disorders
- Gastroesophageal reflux and treatments
- Eosinophilic Esophagitis
- Esophageal and GI Pathology
- Helicobacter pylori-related gastroenterology studies
- Infant Health and Development
- Liver Disease Diagnosis and Treatment
- Dysphagia Assessment and Management
- Diet and metabolism studies
- Gastrointestinal disorders and treatments
- Esophageal Cancer Research and Treatment
- Therapeutic Uses of Natural Elements
- Gastrointestinal Tumor Research and Treatment
- Gastrointestinal Bleeding Diagnosis and Treatment
- Eosinophilic Disorders and Syndromes
- Inflammatory Bowel Disease
- Liver Disease and Transplantation
- Complementary and Alternative Medicine Studies
- Air Quality and Health Impacts
- Hepatitis B Virus Studies
- Congenital gastrointestinal and neural anomalies
- Hemoglobinopathies and Related Disorders
- Hepatocellular Carcinoma Treatment and Prognosis
- Pathogenesis and Treatment of Hiccups
- Pancreatitis Pathology and Treatment
Iuliu Hațieganu University of Medicine and Pharmacy
2015-2025
Clinical Emergency Hospital Bucharest
2023-2025
Institute of Oncology Prof. Dr. Ion Chiricuta
2024
Inserm
2012
Nantes Université
2012
ABSTRACT Introduction Chronic nausea and vomiting are symptoms of a wide range gastrointestinal non‐gastrointestinal conditions. Diagnosis can be challenging requires systematic well‐structured approach. If the initial investigation for structural, toxic metabolic disorders is negative, digestive motility gut‐brain interaction should assessed. United European Gastroenterology (UEG) Society Neurogastroenterology Motility (ESNM) identified need an updated, evidence‐based clinical guideline...
To develop a deep learning model for esophageal motility disorder diagnosis using high-resolution manometry images with the aid of Gemini.
Background and Aims: High-resolution esophageal manometry (HREM) is the gold standard procedure used for diagnosis of motility disorders (EMD). Artificial intelligence (AI) might provide an efficient solution automatic EMD by improving subjective interpretation HREM images. The aim our study was to develop AI-based system, using neural networks, images, based on one wet swallow raw image.
 Methods: In first phase study, recordings patients were retrospectively analyzed three experienced...
Patients with heartburn and normal upper gastrointestinal endoscopy, oesophageal acid exposure, no symptom-reflux association who fail to respond a proton-pump inhibitor are classified as having functional (FH). This study aimed (i) characterize the symptoms abnormalities of patients FH (ii) describe their clinical outcome.Among all referred for 24 h multichannel intraluminal impedance-pH (MII-pH), were identified. The characteristics high-resolution pressure topography recordings analyzed...
CONTEXT AND OBJECTIVE:The presence of a certain degree inflammation in the gut wall is now accepted irritable bowel syndrome (IBS). Fecal calprotectin considered to be reliable test for detecting intestinal inflammation. Our aim was assess postinfectious IBS (PI-IBS), compared with non-postinfectious (NPI-IBS). A secondary objective determine usefulness rapid fecal inflammatory diseases (IBD).DESIGN SETTING:This cross-sectional study. Patients and IBD at single tertiary gastroenterology...
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Background and Aims: Achalasia is an esophageal motility disorder with many available therapies. Peroral endoscopic myotomy (POEM) a therapeutic alternative to surgical myotomy, harboring significant potential short term advantages. Our aim was analyze single-series POEM’s learning curve, safety efficiency over short, medium long-terms in East European Center.
 Methods: This observational, prospective study carried out the Regional Institute of Gastroenterology Hepatology, Cluj-Napoca,...
High-resolution esophageal manometry is used for the study of motility disorders, with help catheters up to 36 sensors. Color pressure topography plots are generated and analyzed using Chicago algorithm a final diagnosis established. One main parameters in this integrated relaxation (IRP). The procedure time consuming. Our aim was firstly develop machine learning based solution detect probe positioning failure create classifier automatically determine whether IRP normal range or higher than...
The goal of this paper is to provide a Machine Learning-based solution that can be utilized automate the Chicago Classification algorithm, state-of-the-art scheme for esophageal motility disease identification. First, photos were preprocessed by locating area interest-the precise instant swallowing. After resizing and rescaling photos, they as input Deep Learning models. InceptionV3 model was used identify class IRP. We DenseNet201 CNN architecture classify images into 5 different classes...