AIMC Topic: Mucous Membrane
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Querying the capability of the post-HoLEP endoscopic aspect of the membranous urethral mucosa in predicting urinary incontinence: a prospective AI-based analysis.
World journal of urology
Mar 12, 2025
INTRODUCTION: Transient stress urinary incontinence (SUI) after holmium laser enucleation of prostate (HoLEP) is commonly linked to intraoperative injury of the external urethral sphincter (EUS). We assessed the reliability of the post-HoLEP endoscop...
Food protein-induced allergic proctocolitis in infants is associated with low serum levels of macrophage inflammatory protein-3a.
Journal of pediatric gastroenterology and nutrition
Dec 11, 2023
BACKGROUND: Food protein-induced allergic proctocolitis (FPIAP) is a nonimmunoglobulin (IgE)-mediated food hypersensitivity and the exact mechanisms that cause FPIAP are unknown. Chemokines play crucial roles in the development of allergic diseases.
A graph neural network framework for mapping histological topology in oral mucosal tissue.
BMC bioinformatics
Nov 25, 2022
BACKGROUND: Histological feature representation is advantageous for computer aided diagnosis (CAD) and disease classification when using predictive techniques based on machine learning. Explicit feature representations in computer tissue models can a...
Semantic Segmentation Dataset for AI-Based Quantification of Clean Mucosa in Capsule Endoscopy.
Medicina (Kaunas, Lithuania)
Mar 7, 2022
: Capsule endoscopy (CE) for bowel cleanliness evaluation primarily depends on subjective methods. To objectively evaluate bowel cleanliness, we focused on artificial intelligence (AI)-based assessments. We aimed to generate a large segmentation data...
Automatic detection and segmentation of morphological changes of the maxillary sinus mucosa on cone-beam computed tomography images using a three-dimensional convolutional neural network.
Clinical oral investigations
Jan 15, 2022
OBJECTIVES: To propose and evaluate a convolutional neural network (CNN) algorithm for automatic detection and segmentation of mucosal thickening (MT) and mucosal retention cysts (MRCs) in the maxillary sinus on low-dose and full-dose cone-beam compu...
Hyperspectral imaging and artificial intelligence to detect oral malignancy - part 1 - automated tissue classification of oral muscle, fat and mucosa using a light-weight 6-layer deep neural network.
Head & face medicine
Sep 3, 2021
BACKGROUND: Hyperspectral imaging (HSI) is a promising non-contact approach to tissue diagnostics, generating large amounts of raw data for whose processing computer vision (i.e. deep learning) is particularly suitable. Aim of this proof of principle...
Loop-mediated isothermal amplification (LAMP) and machine learning application for early pregnancy detection using bovine vaginal mucosal membrane.
Biochemical and biophysical research communications
Jul 10, 2021
An early and accurate pregnancy diagnosis method is required to improve the reproductive performance of cows. Here we developed an easy pregnancy detection method using vaginal mucosal membrane (VMM) with application of Reverse Transcription-Loop-med...
Reproducibility of Results
Sensitivity and Specificity
Animals
Cattle
RNA-Binding Proteins
Molecular Diagnostic Techniques
Biomarkers
Pregnancy
Female
Machine Learning
Cytokines
CA-125 Antigen
Gene Expression
Membrane Proteins
Ubiquitins
Mucous Membrane
Nucleic Acid Amplification Techniques
Vagina
Adaptor Proteins, Signal Transducing
Robot-assisted enucleation of large dumbbell-shaped esophageal schwannoma: a case report.
BMC surgery
Jun 5, 2018
BACKGROUND: Esophageal schwannomas are extremely rare, with few cases reported in the literature. Traditionally, resection of esophageal schwannoma is typically performed using thoracotomy or video-assisted thoracic surgery. However, large, irregular...
Detection of Muscularis propria Invasion in Urothelial Carcinoma Using Artificial Intelligence.
Technology in cancer research & treatment
Jan 1, 2024
Assessment of muscularis propria invasion is a crucial step in the management of urothelial carcinoma since it necessitates aggressive treatment. The diagnosis of muscle invasion is a challenging process for pathologists. Artificial intelligence is ...
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